Nvidia Unveils DGX Spark and DGX Station: Personal AI Supercomputers for the Desktop

Nvidia announces DGX desktop "personal AI supercomputers

During Tuesday's Nvidia GTX keynote, CEO Jensen Huang unveiled two "personal AI supercomputers" called DGX Spark and DGX Station, both powered by the Grace Blackwell platform. In a way, they are a new type of AI PC architecture specifically built for running neural networks, and five major PC manufacturers will build the supercomputers. These desktop systems, first previewed as "Project DIGITS" in January, aim to bring AI capabilities to developers, researchers, and data scientists who need to prototype, fine-tune, and run large AI models locally. DGX systems can serve as standalone desktop AI labs or "bridge systems" that allow AI developers to move their models from desktops to DGX Cloud or any AI cloud infrastructure with few code changes. Huang explained the rationale behind these new products in a news release, saying, "AI has transformed every layer of the computing stack. It stands to reason a new class of computers would emerge -- designed for AI-native developers and to run AI-native applications." The smaller DGX Spark features the GB10 Grace Blackwell Superchip with Blackwell GPU and fifth-generation Tensor Cores, delivering up to 1,000 trillion operations per second for AI. Meanwhile, the more powerful DGX Station includes the GB300 Grace Blackwell Ultra Desktop Superchip with 784GB of coherent memory and the ConnectX-8 SuperNIC supporting networking speeds up to 800Gb/s. The DGX architecture serves as a prototype that other manufacturers can produce. Asus, Dell, HP, and Lenovo will develop and sell both DGX systems, with DGX Spark reservations opening today and DGX Station expected later in 2025. Additional manufacturing partners for the DGX Station include BOXX, Lambda, and Supermicro, with systems expected to be available later this year. Since the systems will be manufactured by different companies, Nvidia did not mention pricing for the units. However, in January, Nvidia mentioned that the base-level configuration for a DGX Spark-like computer would retail for around $3,000.

Nvidia announces two 'personal AI supercomputers' | TechCrunch

Nvidia at GTC 2025 announced a new lineup of "AI personal supercomputers" powered by the company's Grace Blackwell chip platform. Jensen Huang, the semiconductor company's founder and CEO, unveiled the two new machines, DGX Spark (previously called Project Digits) and DGX Station, during his keynote on Tuesday. The computers will allow users to prototype, fine-tune, and run AI models in a range of sizes at the edge. "This is the computer of the age of AI," Huang said during the presentation. "This is what computers should look like, and this is what computers will run in the future. And we have a whole lineup for enterprise now, from little, tiny ones to workstation ones." DGX Spark delivers up to 1,000 trillion operations per second of AI computing thanks to a GB10 Grace Blackwell Superchip, Nvidia says. As for the DGX Station, it features Nvidia's GB300 Grace Blackwell Ultra Desktop Superchip combined with 784GB of memory. DGX Spark is available now, while DGX Station is expected to be released later this year through manufacturing partners including Asus, Boxx, Dell, HP, and Lenovo. "AI agents will be everywhere," Huang continued. "How they run, what enterprises run, and how we run it will be fundamentally different. And so we need a new line of computers. And this is it." Check out TechCrunch's other coverage of all the news and announcements from GTC over on our live blog.

Nvidia's Upcoming Personal AI Computers Have a New Name and a High Price

Imad is a senior reporter covering Google and internet culture. Hailing from Texas, Imad started his journalism career in 2013 and has amassed bylines with The New York Times, The Washington Post, ESPN, Tom's Guide and Wired, among others. Nvidia will be releasing two AI personal computers under a new brand called DGX, formerly Project Digits, to help researchers, scientists and developers, the company said at its GPU Technology Conference on Tuesday. The smaller DGX Spark and the desktop-size DGX Station will feature Nvidia's Blackwell Ultra platform, the company said. These computers are meant for developers, researchers, robotics developers, data scientists and students to tune AI models locally. It'll also be possible to use the power of the Nvidia DGX Cloud to accelerate development if the power on the machines isn't enough. The DGX Spark is priced at $4,000 and reservations are now open. Pricing and availability for the DGX Station will come later this year and the device will be manufactured by Nvidia's hardware partners, which include Asus, Boxx, Dell, HP, Lambda and Supermicro. The DGX Spark will use the Nvidia GB10 Grace Blackwell Superchip and fifth-generation Tensor Cores, "delivering up to 1,000 trillion operations per second of AI compute for fine-tuning and inference," according to a company press release. Nvidia said this machine can handle the latest reasoning models, like DeepSeek R1. The DGX Station will use a more powerful GB300 Grace Blackwell Ultra Desktop Superchip with a huge 784GB of coherent memory space for large training and inference. As AI has become integral to product development, more companies and individuals are looking for on-site solutions. When tapping into services from OpenAI, Google, Anthropic and others, there's a cost associated with using AI on their servers. After a lot of prolonged use, those costs quickly add up. For some, like researchers and creators who are constantly iterating on a project, having a device that can do all that legwork on-site can lead to major cost savings. Plus, there's less concern about servers slowing down due to high load. Data stored on local machines is also more secure. For financial institutions or hospitals that prefer to have sensitive data on-site, local AI computers are preferred.

Nvidia's cute 'Digits' AI desktop is coming this summer with a new name and a big brother

Umar Shakir is a news writer fond of the electric vehicle lifestyle and things that plug in via USB-C. He spent over 15 years in IT support before joining The Verge. Nvidia has revealed its new DGX Spark and DGX Station "personal AI supercomputers" at today's GTC conference, which are both powered by the company's Grace Blackwell platform and designed for users to work on large AI models with or without a connection to a datacenter; the Spark is going up for preorder today. The DGX Spark is the new name for Nvidia's $3,000 Mac Mini-sized "world's smallest AI supercomputer" that was announced with the name "Digits" at CES earlier this year. Its larger, just-announced DGX Station counterpart, currently with no price tag, is aimed at "AI developers, researchers, data scientists and students to prototype, fine-tune and inference large models on desktops." The Spark is powered by Nvidia's GB10 Blackwell Superchip, featuring a GPU with fifth-generation Tensor Cores and FP4 support. The GB10 is optimized for the Spark's smaller desktop form factor. However, it can still deliver "up to 1,000 trillion operations per second (TOPS) of AI compute for fine-tuning and inference with the latest AI reasoning models, including the NVIDIA Cosmos Reason world foundation model and NVIDIA GR00T N1 robot foundation model." Spark features 128GB of unified memory, and up to 4TB of NVMe SSD storage. Meanwhile, the DGX Station, with its larger size, accommodates Nvidia's just-announced, more powerful GB300 Blackwell Ultra desktop super chip that "provides 20 petaflops of AI performance and 784GB of unified system memory." Nvidia also said OEM partners will make versions of the DGX computers. Asus, Dell, HP, Boxx, Lambda, and Supermicro will build their own DGX Stations, which will be available later this year. Meanwhile, the DGX Spark will have versions made by Asus, Dell, HP, and Lenovo. You can reserve one today on Nvidia's website, with deliveries expected this summer. Nvidia isn't the only company building GPUs with lots of unified memory that can be used for local LLMs. Rival AMD has the Ryzen AI Max+ "Strix Halo," and HP is putting the 128GB version into a laptop, while Framework has put it into a $2,000 desktop. Both let the GPU access up to 96GB of VRAM.

Here are all the Nvidia DGX Spark versions so far

Umar Shakir is a news writer fond of the electric vehicle lifestyle and things that plug in via USB-C. He spent over 15 years in IT support before joining The Verge. Nvidia showed off its own Grace Blackwell-powered "personal AI supercomputers" yesterday, but it also made another announcement: third-party manufacturers can come and make their own versions as well. So far, Asus, Dell, and HP have come forward showing their own mini PC designs that tout the same GB10 super chip present in the Nvidia DGX Spark (formerly known as Digits). Asus is among the first to show off its GB10 computer: the Ascent GX10. It's a mini PC with the same 1,000 AI TOPS processing power and 128GB of unified memory as Nvidia's Spark. The Ascent swaps the champagne metallic chassis of the Spark with a more consumer-style white plastic-looking design with a carved pattern on top. Asus isn't yet taking preorders for the GX10 and hasn't revealed a price either. HP has also teased its GB10 mini computer, the HP ZGX Nano AI Station G1n. It resembles the sleek Z2 mini workstation and looks more premium than the Asus one. The G1n looks like something you'd slot into a server rack, which is something you can do with all of these GB10 minicomputers. Dell is incorporating Nvidia's AI Superchips into its new hardware naming scheme with the "Dell Pro Max With GB10" (I know, it rolls right off the tongue). Dell's version is just a plain black box with a power button on top, which may not be the best place for it if used in a server rack. Dell is also already showing off its version of the Nvidia DGX Station, the Dell Pro Max with GB300, a larger workstation computer touting 20 petaflops of AI performance, just like the source material. Dell says its computers will arrive "early summer 2025." That's around the same time Nvidia's own DGX Spark is coming, too, for which Nvidia has opened reservations. Nvidia said the Spark will cost $3,000. Asus and HP have not said when theirs are shipping. Lenovo is also expected to build its own GB10 mini-computer, but it has not yet shown off a design or any details like the others.

What Is Nvidia's DGX Station? A New, Specialized Desktop Line for AI Work

At the company's GTC conference on Tuesday in San Jose, Jensen Huang, Nvidia's CEO, announced the DGX Station, saying, "This is what a PC should look like." Indeed, Huang showed a mockup of the innards of a sample DGX Station: a board resembling a traditional PC motherboard, but with certain components enlarged and in slightly different spots than you'd expect. He also confirmed the DGX Station board contains some PCI Express slots, enabling it to connect to an Nvidia graphics card. Not for Gamers: The DGX Station Is for AI Experts Only Some of its interior may look relatable, but the DGX Station isn't meant for consumers. Instead, Nvidia is marketing the product toward enterprise customers, such as researchers and software developers, looking to run intensive AI workloads. Indeed, the company dubs it a "desktop supercomputer." That's because the product features a data-center-grade GB300 "Grace Blackwell Ultra" chip -- a type that Nvidia has traditionally referred to a "Superchip" -- that's specifically designed for wrangling with cutting-edge AI models. This combined CPU/GPU contains 72 CPU cores, along with 784GB of unified memory shared between the processing and graphics portions. Pro AI devs would apply this kind of massive memory loadout to large training and inferencing tasks. An extremely high-speed interconnect, dubbed "NVLink-C2C," will join the Grace CPU and Blackwell GPU portions of the chip to enable all this data flow. Likewise, for external connectivity, a high-speed network card, the ConnectX-8 SuperNIC, will enable the kinds of transfers required for chaining multiple DGX Stations together, or to perform high-speed local-network data movement of the kind these workflows require. Nvidia didn't share how much a DGX Station will cost, but we wouldn't be surprised if a single unit went for $10,000 or more, considering how expensive Nvidia's other enterprise-grade GPUs can be. Expect the DGX Station to arrive later this year from Nvidia's manufacturing partners, all familiar desktop-workstation faces, among them Asus, Boxx, Dell, HP, and Supermicro. DIGITS to Sparks: Nvidia's AI Mini PC Gets a New Name In the meantime, the company is starting to take reservations for its AI-developer-centric mini PC, formerly known as "Project DIGITS." At GTC, Nvidia revealed it had renamed the product "DGX Spark." Like the DGX Station, the Spark mini PC isn't designed for your typical PC buyer, but for software developers, researchers, and students interested in developing generative AI programs. The product features Nvidia's GB10 Superchip, which can support AI models up to 200 billion parameters in size -- similar to OpenAI's GPT-3. Nvidia notes that the Blackwell GPU in the DGX Spark can support up to 1,000 TOPS (trillions of operations per second) to support training and inferencing needs. Also, the CPU and GPU will be equipped with Nvidia-specific interconnect technology that should allow for as much as five times the bandwidth between the chip elements and its memory, versus conventional PCI Express 5.0. Nvidia detailed a good bit more about DGX Spark's inner specs on its site once the GTC keynote wrapped up. The Spark will feature 128GB of unified LPDDR5x memory and have Nvidia's AI software tools preinstalled. The "Grace" portion of the GB10 will have 20 Arm cores. The system will also support a form of the ConnectX networking mentioned earlier, here ConnectX-7, for tethering two Sparks together to work on extremely large AI models. The system will come equipped with a 1TB or 4TB SSD, and have provision for Wi-Fi 7, USB (four USB Type-C, to 40Gbps), and Bluetooth connectivity, much like any other high-end desktop. DGX Spark will run by connecting to a regular electrical socket. But don't expect the mini PC to play Windows games. The DGX Spark comes with Nvidia's DGX OS, the company's custom version of Ubuntu Linux. Nvidia says that models of the DGX Spark from its partners will start at $2,999. (The pre-order page teased a $2,999 Asus Ascent GX10 configuration with a 1TB SSD.) An Nvidia-branded Founders Edition version of the DGX Spark with 4TB of storage will go for $3,999, and Nvidia is also offering a bundle of two 4TB DGX Sparks with a high-speed connection cable, for $8,049. PC vendors including Asus, Dell, HP, and Lenovo are all preparing DGX Spark and DGX Station products under their own brands.

Nvidia unveils DGX Station workstation PCs with GB300 Blackwell Ultra inside

Nvidia on Tuesday introduced its DGX Station workstation platform that packs its upcoming GB300 Desktop Superchip that combines a Grace CPU with a Blackwell GPU for AI. The machine is aimed at software developers, researchers, and data scientists and will be available later this year from various workstation OEMs. Nvidia's DGX station workstation platform carries the GB300 Desktop Superchip (the first mention of a desktop-grade 'Superchip' that we see) that comprises a Grace CPU that connects using NVLink C2C interface with Nvidia's Blackwell Ultra GPU (which comes in an SXM form-factor) featuring the latest-generation Tensor Cores with enhanced FP4 precision. The machine is set to feature 784 GB of unified memory between the CPU's LPDDR5X and GPU's HBM3E, which will be handy for AI workloads. By launching its DGX Station based on the GB300 Desktop Superchip platform as well as the DGX Spark powered by the GB10 Grace Blackwell Superchip, Nvidia sets the stage for its Arm-based desktop workstation platforms that will be aimed at broader market segments beyond data scientists, researchers, and software developers. Nvidia has yet to disclose the 'Desktop Superchip' specifications. For now, it is reasonable to assume that the company calls 'Desktop Superchip' a combination of Grace CPU and Blackwell Ultra GPU components in configurations optimized for desktop PCs. In particular, we are talking about power consumption. Speaking of which, the motherboard has regular ATX + EPS12V power connectors for the CPU and other components and three 12V-2×6 (H++) connectors that can theoretically deliver up to 1800W to the GPU. In addition, the motherboard has three PCIe x16 slots for add-in-boards, three M.2 slots for SSDs, audio connectors, and USB connectors. For connectivity, DGX Station is equipped with Nvidia's ConnectX-8 SuperNIC, a networking component that supports speeds of up to 800 Gb/s to link multiple DGX Stations for collaborative AI projects. The high-speed networking also ensures smooth scaling for users working with extensive AI models or distributed computing tasks. Nvidia didn't disclose the recommended pricing of its DGX Station, which will be sold by Asus, Boxx, Dell, HP, Lambda, Lenovo, and Supermicro. Keeping in mind that each compute GPU in an SXM form factor costs tens of thousands of dollars, the DGX Station will likely cost a five-digit sum.

NVIDIA's Spark desktop AI supercomputer arrives this summer

The company is also making an even more powerful variant of the machine. NVIDIA is building a desktop supercomputer. At the company's GTC conference today, CEO Jensen Huang announced DGX Spark and DGX Station. We got a first look at the former during CES earlier this year when Huang and company revealed Project Digits. Now known as DGX Spark, NVIDIA is billing the $3,000 device as the world's smallest AI supercomputer. It features a GB10 Grace Blackwell Superchip NVIDIA has shrunk down to fit inside an enclosure about the size of the previous generation Mac mini. NVIDIA says the GB10 can run up to 1,000 trillion operations per second of AI compute, making it ideal for fine-tuning the latest AI reasoning models, including the GR00T N1 robot system Huang announced at the end of his GTC keynote. The DGX Spark is available to preorder today. For researchers and data scientists who need even more AI processing power, the DGX Station features a GB300 Grace Blackwell Ultra Desktop Superchip. The GB300 offers 20 petaflops of performance and 784GB of unified system memory. NVIDIA has yet to announce a price for the DGX Station, though the company says the computer will arrive later this year, with ASUS, BOXX, Dell, HP, Lambda and Supermicro all making their own versions of the system.

NVIDIA Announces DGX Spark and DGX Station Personal AI Computers

GTC -- NVIDIA today unveiled NVIDIA DGX™ personal AI supercomputers powered by the NVIDIA Grace Blackwell platform. DGX Spark -- formerly Project DIGITS -- and DGX Station™, a new high-performance NVIDIA Grace Blackwell desktop supercomputer powered by the NVIDIA Blackwell Ultra platform, enable AI developers, researchers, data scientists and students to prototype, fine-tune and inference large models on desktops. Users can run these models locally or deploy them on NVIDIA DGX Cloud or any other accelerated cloud or data center infrastructure. DGX Spark and DGX Station bring the power of the Grace Blackwell architecture, previously only available in the data center, to the desktop. Global system builders to develop DGX Spark and DGX Station include ASUS, Dell, HP Inc. and Lenovo. "AI has transformed every layer of the computing stack. It stands to reason a new class of computers would emerge -- designed for AI-native developers and to run AI-native applications," said Jensen Huang, founder and CEO of NVIDIA. "With these new DGX personal AI computers, AI can span from cloud services to desktop and edge applications." Igniting Innovation With DGX Spark DGX Spark is the world's smallest AI supercomputer, empowering millions of researchers, data scientists, robotics developers and students to push the boundaries of generative and physical AI with massive performance and capabilities. At the heart of DGX Spark is the NVIDIA GB10 Grace Blackwell Superchip, optimized for a desktop form factor. GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1,000 trillion operations per second of AI compute for fine-tuning and inference with the latest AI reasoning models, including the NVIDIA Cosmos Reason world foundation model and NVIDIA GR00T N1 robot foundation model. The GB10 Superchip uses NVIDIA NVLink™-C2C interconnect technology to deliver a CPU+GPU-coherent memory model with 5x the bandwidth of fifth-generation PCIe. This lets the superchip access data between a GPU and CPU to optimize performance for memory-intensive AI developer workloads. NVIDIA's full-stack AI platform enables DGX Spark users to seamlessly move their models from their desktops to DGX Cloud or any accelerated cloud or data center infrastructure -- with virtually no code changes -- making it easier than ever to prototype, fine-tune and iterate on their workflows. Full Speed Ahead With DGX Station NVIDIA DGX Station brings data-center-level performance to desktops for AI development. The first desktop system to be built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, DGX Station features a massive 784GB of coherent memory space to accelerate large-scale training and inferencing workloads. The GB300 Desktop Superchip features an NVIDIA Blackwell Ultra GPU with latest-generation Tensor Cores and FP4 precision -- connected to a high-performance NVIDIA Grace™ CPU via NVLink-C2C -- delivering best-in-class system communication and performance. DGX Station also features the NVIDIA ConnectX-8 SuperNIC, optimized to supercharge hyperscale AI computing workloads. With support for networking at up to 800Gb/s, the ConnectX-8 SuperNIC delivers extremely fast, efficient network connectivity, enabling high-speed connectivity of multiple DGX Stations for even larger workloads, and network-accelerated data transfers for AI workloads. Combining these state-of-the-art DGX Station capabilities with the NVIDIA CUDA-X™ AI platform, teams can achieve exceptional desktop AI development performance. In addition, users gain access to NVIDIA NIM™ microservices with the NVIDIA AI Enterprise software platform, which offers highly optimized, easy-to-deploy inference microservices backed by enterprise support. Availability Reservations for DGX Spark systems open today at nvidia.com. DGX Station is expected to be available from manufacturing partners like ASUS, BOXX, Dell, HP, Lambda and Supermicro later this year.

Meet the HP ZGX Fury AI Station G1n and Dell's Pro Max with GB300, the first two rivals to Nvidia's DGX Station

HP's upcoming GB300 workstation will be the ZGX Fury AI Station G1n Nvidia has unveiled two DGX personal AI supercomputers powered by its Grace Blackwell platform. The first of these is DGX Spark (previously called Project Digits), a compact AI supercomputer that runs on Nvidia's GB10 Grace Blackwell Superchip. The second is DGX Station, a supercomputer-class workstation that resembles a traditional tower and is built with the Nvidia GB300 Grace Blackwell Ultra Desktop Superchip. The GB300 features the latest-generation Tensor Cores and FP4 precision, and the DGX Station includes 784GB of coherent memory space for large-scale training and inferencing workloads, connected to a Grace CPU via NVLink-C2C. The DGX Station also features the ConnectX-8 SuperNIC, designed to supercharge hyperscale AI computing workloads. Nvidia's OEM partners - Asus, HP, and Dell - are producing DGX Spark rivals powered by the same GB10 Superchip. HP and Dell are also preparing competitors to the DGX Station using the GB300. Dell has shared new details about its upcoming AI workstation, the Pro Max with GB300 (its DGX Spark version is called Pro Max with GB10). The specs for its supercomputer-class workstation include 784GB of unified memory, up to 288GB of HBM3e GPU memory, and 496GB of LPDDR5X memory for the CPU. The system delivers up to 20,000 TOPS of FP4 compute performance, making it well suited for training and inferencing LLMs with hundreds of billions of parameters. HP's version of the DGX Station is called the ZGX Fury AI Station G1n. Z by HP is now one of the company's product lines, and the "n" at the end of the name signifies that it's powered by an Nvidia processor - in this case, the GB300. HP says the ZGX Fury AI Station G1n "provides everything needed for AI teams to build, optimize, and scale models while maintaining security and flexibility," noting that it will integrate into HP's broader AI Station ecosystem, alongside the previously announced ZGX Nano AI Station G1n (its DGX Spark alternative). HP is also expanding its AI software tools and support offerings, providing resources designed to streamline workflow productivity and enhance local model development. Pricing for the DGX Station and the Dell and HP workstations isn't known yet, but they obviously aren't going to be cheap. Pricing for the tiny DGX Spark starts at $3,999, and the larger machines will cost significantly more.

More Petaflop AI mini supercomputers set to launch in 2025 as Asus, Dell and HPE reveal their plans for DGX Spark sidekicks

Dell, HPE, and Asus will offer GB10-based alternatives with similar performance Nvidia has announced DGX Spark, a Mac Mini-sized AI supercomputer designed to bring advanced model development and inferencing directly to desktops. The mini machine was originally called Project Digits and expected to be priced at $3000, but the change of name has caused the figure to skyrocket as it's now priced at $3999, according to Nvidia's reservation page. Built around the GB10 Grace Blackwell Superchip, DGX Spark features a Blackwell GPU with fifth-generation Tensor Cores, FP4 support, and NVLink-C2C, which enables high-bandwidth memory sharing between the GPU and Grace CPU. The system offers up to 1,000 trillion operations per second of AI compute power and supports models with up to 200 billion parameters. It is designed to handle demanding AI workflows such as fine-tuning, inference, and prototyping without relying entirely on external infrastructure. DGX Spark includes 128GB of LPDDR5x unified memory and up to 4TB of NVMe SSD storage, and delivers performance previously limited to data centers. It's aimed at developers, researchers, data scientists, and students working with increasingly complex AI models locally, so it's not something most people will need. "AI has transformed every layer of the computing stack. It stands to reason a new class of computers would emerge - designed for AI-native developers and to run AI-native applications," said Jensen Huang, founder and CEO of Nvidia. "With these new DGX personal AI computers, AI can span from cloud services to desktop and edge applications." Some of Nvidia's OEM partners are debuting desktop AI systems based on the same GB10 architecture. Dell's Pro Max with GB10 fits into the company's broader AI workstation portfolio, connecting with the Dell AI Factory with Nvidia to give developers an easy path from deskside development to deployment. HP's ZGX Nano AI Station is another entry, offering comparable capabilities for developers who want performance and scalability without full server infrastructure. Asus has also introduced its GB10 AI super computer, the Ascent GX10. Pricing details have not yet been confirmed, but Nvidia lists it on its DGX Spark pre-order page where it says the GX10 will cost $2999 and come with 1TB of storage.

NVIDIA Announces 2 Personal Supercomputers -- One is as Small as Mac Mini

Project DIGITS has been rebranded as DGX Spark, and the company has announced a new DGX Station. NVIDIA has announced two new personal AI supercomputers to handle AI workloads at the GPU Technology Conference (GTC) 2025 event. The company announced the DGX Spark and DGX Station, which are powered by the NVIDIA Grace Blackwell platform. These are aimed at helping AI developers, researchers, data scientists, and even students prototype, fine-tune, and infer from large language models on a desktop. Models can be run locally or deployed on any cloud-based platform. "DGX Spark and DGX Station bring the power of the Grace Blackwell architecture, previously only available in the data centre, to the desktop," the company said. Original equipment manufacturer (OEM) partners like ASUS, Dell, HP and Lenovo are set to develop DGX Spark and the DGX Station. The DGX Spark, formerly known as 'Project DIGITS', is dubbed the world's smallest AI supercomputer. It can deliver 1,000 trillion operations per second (TOPS) using AI models. It is priced at $3,000. The NVIDIA DGX Spark (5.91'' × 5.91'' × 1.99'') is only slightly larger than the Apple Mac Mini (5.00'' × 5.00'' × 1.96''). On the other hand, the more powerful NVIDIA DGX Station features a massive 784 GB memory to accelerate AI workloads. It is also the first desktop system built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. NVIDIA says the DGX Stations are purpose-built for teams who need the best desktop AI development platform. "This is the computer of the age of AI. This is what computers should look like," said CEO Jensen Huang in the keynote. The company has opened reservations for DGX Spark Systems. The DGX Station is expected to be available later this year. Besides, NVIDIA had plenty of announcements to make at the GTC event. The company also partnered with General Motors (GM) to develop AI-powered self-driving cars and HALOS, a new AI-enabled automotive safety platform. Furthermore, NVIDIA also announced plenty of updates in the robotics sector. Earlier this year, the company unveiled the GeForce RTX 5090 GPU, which is 30% smaller in volume and 30% better at energy dissipation than the RTX 4090.

Nvidia Grace Blackwell Chips based DGX Spark and Station Unveiled

Nvidia's new AI desktop PCs, the DGX Station and DGX Spark, are designed to give AI gurus the ability to run large models locally without needing a constant cloud connection. The DGX Station is built for demanding tasks. It uses the GB300 Grace Blackwell Ultra Desktop Superchip, which delivers 20 petaflops of AI computing power and comes with 784GB of unified memory. This means it can handle large datasets and complex models with ease. The station also features the ConnectX-8 SuperNIC, which supports network speeds up to 800 Gbit/s, making it suitable for heavy AI workloads. On the other hand, the DGX Spark is a more compact solution that still packs a considerable punch for AI model training. It is powered by the GB10 Grace Blackwell Superchip, which includes fifth-generation Tensor cores with FP4 support to speed up computations. The DGX Spark uses Nvidia's NVLink-C2C interconnect to keep communication between the CPU and GPU running smoothly, which reduces delays during processing. With 128GB of unified memory and support for up to 4TB of NVMe storage, this system is designed to move data quickly. It is capable of handling up to 1000 Tops of operations and supports various AI reasoning models, including those used in robotics. Originally introduced at CES 2025 under the name Project Digits, the DGX Spark is aimed at AI developers, researchers, and students who need a reliable system for local processing. Source: NVIDIA

NVIDIA DGX Spark, DGX Station: desktop AI PC with datacenter-class Blackwell GPU for AI users

TL;DR: NVIDIA introduced new DGX personal AI supercomputers at GTC 2025, featuring the Grace CPU and Blackwell GPU. These systems, including DGX Spark and DGX Station, allow AI developers to prototype and fine-tune models on desktops. NVIDIA has just unveiled its new DGX personal AI supercomputers, which are powered by its in-house Grace CPU and Blackwell GPU, which are normally reserved for the data center. The new personal AI supercomputers were unveiled at NVIDIA's current GTC 2025 event, with DGX Spark -- formerly Proejct DIGITS -- and DGX Station, a new high-performance NVIDIA Grace Blackwell desktop supercomputer powered by the NVIDIA Blackwell Ultra platform. These new AI systems enable AI developers, researchers, data scientists, and students to prototype, fine-tune, and inference large models on desktops. NVIDIA says that users can run these models locally or deploy them on NVIDIA DGX Cloud or any other accelerated cloud or data center infrastructure. Inside, the new DGX Spark uses NVIDIA's new GB10 Grace Blackwell Superchip, which has been optimized into a desktop form factor. NVIDIA's new GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, with 1000 TOPS of AI compute power for fine-tuning and inference with the latest AI reasoning models, including the NVIDIA Cosmos Reason world foundation model and NVIDIA GR00T N1 robot foundation model. NVIDIA's new GB10 Superchip uses NVIDIA NVLink-C2C interconnect technology, which delivers CPU+GPU-coherent memory model with 5x the bandwidth of PCIe Gen5. This lets the Superchip access data between a GPU and CPU to optimize performance for memory-intensive AI developer workloads. NVIDIA says that its full-stack AI platform enables DGX Spark users to seamlessly move their models from their desktops to DGX Cloud or any accelerated cloud or data center infrastructure -- with virtually no code changes -- making it easier than ever to prototype, fine-tune and interate on their workflows. Jensen Huang, founder and CEO of NVIDIA, explains: "AI has transformed every layer of the computing stack. It stands to reason a new class of computers would emerge - designed for AI-native developers and to run AI-native applications. With these new DGX personal AI computers, AI can span from cloud services to desktop and edge applications".

Nvidia reveals DGX Spark: The world's smallest AI supercomputer

Nvidia unveiled its DGX Spark and DGX Station personal AI supercomputers at the GTC conference, designed for handling large AI models with or without a datacenter connection. The DGX Spark is now available for preorder. The DGX Spark, priced at $3,000, is touted as the "world's smallest AI supercomputer," previously known as "Digits," which was announced at CES earlier this year. The larger DGX Station, which has no current price tag, targets AI developers, researchers, data scientists, and students for prototyping, fine-tuning, and inference of large models on desktops. Powering the DGX Spark is Nvidia's GB10 Blackwell Superchip, equipped with a GPU that includes fifth-generation Tensor Cores and FP4 support. The GB10 is specifically optimized for the Spark's compact form factor and can achieve up to 1,000 trillion operations per second (TOPS) for tasks like fine-tuning and inference on advanced AI reasoning models, including the NVIDIA Cosmos Reason world foundation model and the NVIDIA GR00T N1 robot foundation model. The DGX Spark features 128GB of unified memory and provides up to 4TB of NVMe SSD storage. Nvidia can boost DeepSeek R1's speed 30x, says Jensen Huang Conversely, the larger DGX Station utilizes the newly announced GB300 Blackwell Ultra desktop super chip, offering 20 petaflops of AI performance alongside 784GB of unified system memory. Nvidia also announced that Original Equipment Manufacturer (OEM) partners, including Asus, Dell, HP, Boxx, Lambda, and Supermicro, will produce versions of the DGX computers. The DGX Station will be available from these partners later this year, while versions of the DGX Spark will be offered by Asus, Dell, HP, and Lenovo. Preorders for the DGX Spark can be made on Nvidia's website, with anticipated deliveries in the summer. Other companies are also developing GPUs with significant unified memory for local large language models (LLMs). AMD has the Ryzen AI Max+ "Strix Halo," while HP has incorporated the 128GB version into a laptop, and Framework has included it in a $2,000 desktop, allowing the GPU to access up to 96GB of VRAM.

NVIDIA Enters The AI PC Realm With DGX Spark & DGX Station Desktops: 72 Core Grace CPU, Blackwell GPUs, Up To 784 GB Memory

NVIDIA officially makes the desktop entrance with DGX Spark & DGX Station AI PCs with Grace CPUs & Blackwell GPUs. NVIDIA DGX Spark & DGX Station AI PCs Feature A Desktop-Feel With Enterprise-Grade Hardware: Grace CPU & Blackwell GPUs With Tons of Memory Press Release: DGX Spark, formerly Project DIGITS, and DGX Station, a new high-performance NVIDIA Grace Blackwell desktop supercomputer powered by the NVIDIA Blackwell Ultra platform, enables AI developers, researchers, data scientists and students to prototype, fine-tune and inference large models on desktops. Users can run these models locally or deploy them on NVIDIA DGX Cloud or any other accelerated cloud or data center infrastructure. DGX Spark and DGX Station bring the power of the Grace Blackwell architecture, previously only available in the data center, to the desktop. Global system builders to develop DGX Spark and DGX Station include ASUS, Dell, HP Inc. and Lenovo. Igniting Innovation With DGX Spark DGX Spark is the world's smallest AI supercomputer, empowering millions of researchers, data scientists, robotics developers and students to push the boundaries of generative and physical AI with massive performance and capabilities. At the heart of DGX Spark is the NVIDIA GB10 Grace Blackwell Superchip, optimized for a desktop form factor. GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1,000 trillion operations per second of AI compute for fine-tuning and inference with the latest AI reasoning models. The GB10 Superchip uses NVIDIA NVLink-C2C interconnect technology to deliver a CPU+GPU-coherent memory model with 5x the bandwidth of fifth-generation PCIe. This lets the superchip access data between a GPU and CPU to optimize performance for memory-intensive AI developer workloads. Full Speed Ahead With DGX Station NVIDIA DGX Station brings data-center-level performance to desktops for AI development. The first desktop system to be built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, DGX Station features a massive 784GB of coherent memory space to accelerate large-scale training and inferencing workloads. The GB300 Desktop Superchip features an NVIDIA Blackwell Ultra GPU with latest-generation Tensor Cores and FP4 precision -- connected to a high-performance NVIDIA Grace CPU via NVLink-C2C, delivering best-in-class system communication and performance. DGX Station also features the NVIDIA ConnectX-8 SuperNIC, optimized to supercharge hyperscale AI computing workloads. With support for networking at up to 800Gb/s, the ConnectX-8 SuperNIC delivers extremely fast, efficient network connectivity, enabling high-speed connectivity of multiple DGX Stations for even larger workloads, and network-accelerated data transfers for AI workloads. Availability DGX Station is expected to be available from manufacturing partners like ASUS, BOXX, Dell, HP, Lambda and Supermicro later this year.

Nvidia Rebrands Project Digits as 'DGX Spark' and Unveils a Larger DGX Station

Nvidia also announced a larger, server-class DGX Station, featuring the latest Blackwell Ultra GPU. Nvidia introduced Project Digits, a mini AI supercomputer in January. Now, at GTC 2025, the company has changed its name to 'DGX Spark' and opened it for reservations, starting at $3,000. This Mac Mini-sized computer can deliver up to 1 petaflop (1,000 TOPS) of AI performance at FP4 precision. It features the powerful Grace Blackwell GPU with 5th-gen Tensor cores. On the CPU side, DGX Spark comes with 20 Arm CPU cores. It can be configured up to 128GB of LPDDR5X unified memory and 4TB of NVMe storage. However, the memory bandwidth is limited to just 273 GBps which is a bummer. It comes with Wi-Fi 7, Bluetooth 5.3, and consumes up to 170W of power. Finally, the DGX Spark runs the Linux-based DGX OS, which is maintained by Nvidia. Apart from that, Nvidia also unveiled a larger DGX Station which brings the just-announced Blackwell Ultra GB300 GPU. This powerful workstation is designed for developers, researchers, data scientists, and students to run and train large AI models. Nvidia says it delivers "data-center-level performance" on your desk. On the memory side, you get a total of 784GB of unified memory. The GPU has access to 288GB of HBM3e memory with a bandwidth of 8TBps and the CPU has access to 496GB of LPDDR5X memory, which can go up to 396GBps. By the way, it features the server-class Grace-72 Core Neoverse V2 CPU. It appears Nvidia is fiercely competing with Apple's newly launched M4 Max and M3 Ultra Mac Studios. Finally coming to availability, you can reserve the DGX Spark on Nvidia's website right away, and it will start shipping in summer this year. DGX Spark will also be available by Asus, Dell, HP, and Lenovo. Finally, the DGX Station will be available later this year.

Nvidia unveils AI-powered desktop supercomputers

The DGX is looking to take desktop performance to new heights. Nvidia has announced what seems to be the next-generation of PC and desktop technology as part of the GPU Technical Conference. The technology titan has lifted the curtain on a new gadget that is known as the DGX, which is a personal AI-powered desktop supercomputer that utilises the Grace Blackwell platform to provide a place where developers, students, researchers, data scientists, and more can play around with increasingly large models without being encumbered or limited by current PC technology. There are two variants of this system, known as the DGX Spark and DGX Station, and while both were previously only available to data centres, now they are coming to consumers, with the technology being opened to Asus, Dell, HP, and more. Nvidia CEO and founder Jensen Huang spoke about this technology during Nvidia's GTC keynote, where he mentioned: "AI has transformed every layer of the computing stack. It stands to reason a new class of computers would emerge -- designed for AI-native developers and to run AI-native applications. With these new DGX personal AI computers, AI can span from cloud services to desktop and edge applications." DGX Spark is the smaller version that uses a GB10 Grace Blackwell Superchip, a Blackwell GPU with fifth-generation Tensor Cores and FP4 support, which combined allows for up to 1,000 trillion operations per second. The DGX Station expands this to a GB300 Grace Blackwell Ultra Desktop Superchip and the same GPU, except now also with 784 GB of memory to enable a networking speed of up to 800 GB/s. You can currently reserve a DGX Spark unit, but DGX Station units won't be available until later this year. Pricing is not mentioned as of yet.

NVIDIA DIGITS rebranded as NVIDIA DGX Spark and unveils Blackwell DGX Station: Bringing AI Supercomputing to the Desktop

NVIDIA has introduced two new personal AI supercomputers, the DGX Spark and DGX Station, as part of its efforts to make high-performance AI computing more accessible. These systems, powered by the Grace Blackwell platform, are designed to cater to AI developers, researchers, data scientists, and students who require powerful computing capabilities for prototyping, fine-tuning, and running AI models. The NVIDIA DGX Spark will be priced at USD 3000 but there's no price for the DGX Station yet. We have seen previous iterations of the DGX Station start from USD 99,000. However, while NVIDIA presents these as entirely new AI computing solutions, DGX Spark is, in reality, a rebranded and updated version of Project DIGITS. DIGITS was originally launched in 2015 as an AI development platform aimed at deep learning practitioners. It was built on top of CUDA and cuDNN, making it essentially a middleware for deep learning GPU training. DIGITS would be packaged with DRIVE as part of NVIDIA's training solution for designing self-driving cars. DIGITS was first introduced back in March 2015 at NVIDIA's GPU Technology Conference. Since then NVIDIA has been iterating on the software with version 2 of the package. Back then DIGITS was NVIDIA's higher-level neural network software for general scientists and researchers (as opposed to programmers). Earlier this year at CES, NVIDIA announced that it would be packaging DIGITS with a GPU making it an out-of-the-box solution for anyone to build a neural network training system. Call it the Mac Mini of AI training, if you will. With the introduction of the Blackwell GPU architecture, NVIDIA has now repositioned this product under the DGX branding, emphasizing its suitability for AI-native applications. NVIDIA positions DGX Spark as the smallest AI supercomputer, bringing powerful AI capabilities to desktop environments. At its core is the NVIDIA GB10 Grace Blackwell Superchip, featuring a Blackwell GPU with fifth-generation Tensor Cores and FP4 precision support. This combination enables the system to deliver up to 1,000 TOPS (trillion operations per second) of AI compute, making it well-suited for fine-tuning and inference tasks involving modern AI models such as NVIDIA's Cosmos Reason and GR00T N1 foundation models. A key feature of the GB10 Superchip is its use of NVIDIA NVLink-C2C interconnect technology. This provides a CPU-GPU coherent memory model with five times the bandwidth of PCIe 5.0, significantly improving memory access speeds for AI workloads. This architecture ensures that data-intensive applications, including large-scale generative AI and robotics simulations, can run more efficiently. Beyond local processing power, DGX Spark users can transition seamlessly to cloud-based solutions. NVIDIA's AI software stack allows models developed on DGX Spark to be deployed on DGX Cloud or other accelerated computing environments with minimal modifications. This flexibility is particularly useful for AI researchers and developers who require scalability beyond local hardware. For those needing even more performance, the DGX Station offers a more powerful alternative to the DGX Spark. It is built around the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, designed to bring data-center-level AI performance to the desktop. This system boasts 784 GB of unified memory, a crucial advantage for AI workloads requiring extensive datasets. The GB300 Superchip integrates an NVIDIA Blackwell Ultra GPU with the latest Tensor Core technology and FP4 precision. It is linked to an NVIDIA Grace CPU using NVLink-C2C, ensuring fast and efficient data exchange between the two components. This setup optimizes DGX Station for both large-scale training and inference tasks. Networking is another major strength of the DGX Station. Equipped with the NVIDIA ConnectX-8 SuperNIC, it supports speeds of up to 800Gb/s, facilitating high-speed connectivity between multiple DGX Stations. This capability allows users to scale their AI workloads beyond a single machine by interconnecting multiple systems, effectively creating an in-house AI cluster for demanding applications. Additionally, the DGX Station is backed by NVIDIA's CUDA-X AI platform, which offers a suite of development tools optimized for AI acceleration. It also supports NVIDIA NIM microservices via the NVIDIA AI Enterprise platform, providing pre-optimized inference microservices that streamline deployment workflows for AI applications. NVIDIA has collaborated with major system builders, including ASUS, Dell, HP, and Lenovo, to manufacture DGX Spark and DGX Station units. Reservations for DGX Spark are open immediately, while DGX Station is expected to be available later this year from partners such as ASUS, BOXX, Dell, HP, Lambda, and Supermicro. As AI workloads continue to grow in complexity, NVIDIA's push to bring high-performance AI computing to the desktop reflects a broader trend in the industry. These systems provide a more accessible alternative to cloud-based AI solutions, allowing researchers and developers to work with advanced models without relying solely on remote infrastructure. Whether this approach gains widespread adoption will depend on how well these systems balance cost, performance, and scalability in the evolving AI landscape.