Acer Unveils Veriton GN100: A Compact AI Powerhouse with NVIDIA's GB10 Superchip

Acer unveils Project Digits supercomputer featuring Nvidia's GB10 superchip with 128GB of LPDDR5x

Acer joins Asus, Lenovo, and Dell with its third-party Project Digits variation. Acer has unveiled its own version of Nvidia's Project Digits mini-supercomputer, the Acer Veriton GN100 AI Mini Workstation, which is geared toward developers, universities, data scientists, and researchers who need a compact and high-speed AI system. North American pricing starts at $3,999. The Veriton GN100 is a compact mini-PC (measuring 150 x 150 x 50.5mm), that comes housed in a black chassis with a silver grill on the front. The system features Nvidia's GB10 Grace Blackwell Superchip, which has 20 ARM CPU cores (10 Cortex-X925 and 10 A725 cores), and a Blackwell-based GPU sporting one petaFLOP of FP4 floating point performance. The GB10 Superchip is fed by 128 GB of LPDDR5x memory and can house up to four 4TB of M.2 NVMe storage with self-encryption capabilities. I/O includes four USB 3.2 Type-C ports, one HDMI 2.1b port, an RJ-45 Ethernet connector, and a proprietary Nvidia ConnectX-7 NIC that allows two GN100 units to work in tandem -- similar to SLI on older Nvidia graphics cards. The Veriton GN100 also supports Wi-Fi 7 and Bluetooth 5.1 for wireless connectivity. Thanks to the inclusion of Nvidia's GB10 chip, the GN100 benefits from Nvidia's AI software stack -- giving AI developers all the tools they need to develop and deploy large language models and other AI-based tools. Nvidia's software stack includes the CUDA toolkit, cuDNN, and TensorRT, and supports popular AI frameworks, such as TensorFlow, PyTorch, MXNet, and Jax. Acer's Veriton GN100 is one of several third-party variants of Nvidia's Project Digits mini-supercomputer. Acer, Lenovo, Asus, and Dell have built their own versions of Project Digits featuring different chassis designs. This is similar to the way Nvidia partners with third-parties for its graphics cards -- Nvidia's Project Digits is the "Founders Edition," while Acer, Lenovo, Asus, and Dell will offer third-party variations with identical specs and performance. Third-party versions can offer benefits, such as better warranties and extra software support, and are often discounted cheaper than Nvidia's OEM version. These new Nvidia-powered mini-computers are designed to provide a high-speed, local AI solution for users who don't want to deal with the footprint or headache of a full-blown AI supercluster. A high-speed AI system can be useful for keeping sensitive data offline, minimizing latency, and optimizing performance. Some might argue that building an RTX 5090-powered gaming/workstation system might be better -- and, on the surface, that's probably true. But Nvidia's GB10 supports 128GB of system memory and has native support for Nvidia's proprietary NVFP4 -- two important factors for dedicated AI work, which the RTX 5090 cannot provide. The extra memory allows users to run AI models that would be impossible on a single RTX 5090, and NVFP4 is a new FP4 standard that can significantly improve processing efficiency in AI workloads (with accuracy that approaches BF16). This makes Nvidia's Project Digits architecture much more attractive for dedicated, professional AI developers. As of this writing, Acer has yet to announce an exact release date for the Veriton GN100, though it has said that availability will vary by region. Follow Tom's Hardware on Google News, or add us as a preferred source, to get our up-to-date news, analysis, and reviews in your feeds. Make sure to click the Follow button!

Acer joins Nvidia GB10 superchip fan club with $3,999 Veriton AI mini workstation PC - and yes, you can link two to get even more power

Acer has announced the Veriton GN100 AI Mini Workstation, a compact desktop built on Nvidia's GB10 Grace Blackwell Superchip. It is designed to run large AI models locally, with the option to scale workloads further by linking two systems together. The Veriton GN100, revealed at IFA 2025 in Berlin, delivers up to 1 PFLOPS of FP4 AI performance through a combination of 20 Arm-based CPU cores, CUDA cores and fifth-generation Tensor Cores. The device comes with 128GB of unified LPDDR5x memory and 4TB of self-encrypting NVMe storage. Despite its diminutive 150mm x 150mm footprint, and sub-1.5kg weight, the Veriton GN100 is intended to deliver server-class compute power in a mini PC form factor. The system includes Nvidia's AI software stack and DGX Base OS, with support for commonly used developer tools such as PyTorch, Jupyter and Ollama. Acer says this will allow developers, researchers and students to prototype, fine-tune and test large language models directly on the system, reducing reliance on remote cloud infrastructure and helping lower operating costs. With an Nvidia ConnectX-7 SmartNIC installed, two Veriton GN100 units can be linked to scale workloads further, allowing processing of AI models with up to 405 billion parameters. This will make it possible to work with even larger training sets and experiments without requiring immediate access to data center hardware. Connectivity includes four USB 3.2 Type-C ports, HDMI 2.1b, Ethernet, Wi-Fi 7 and Bluetooth 5.1. Security features include a Kensington lock and local execution of AI models to help protect sensitive data. Acer has set pricing for the Veriton GN100 at $3,999 in North America and €3,999 in EMEA, with availability varying by region.

Acer's new Veriton GN100: AI Mini-PC powered by the new NVIDIA GB10 Superchip, starts at $3999

TL;DR: Acer's new Veriton GN100 AI Mini-PC features the NVIDIA GB10 Grace Blackwell Superchip with 128GB unified memory, 4TB storage, and 1 PFLOPS AI performance in a compact design. Priced at $3999, it supports large AI models up to 405 billion parameters by linking two units, ideal for advanced AI workloads. Acer has just unveiled its new Veriton GN100 AI Mini-PC workstation system powered by NVIDIA's new GB10 Superchip, starting at $3999 and get this... you can combine two of them together, almost like SLI AI Mini-PCs! The new Acer Veriton GN100 AI Mini-PC is a new ultra-compact AI workstation with the NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified memory, 4TB of storage, and 1 PFLOPS of FP4 AI performance. Inside, the GB10 Superchip features a 20-core Arm CPU and a Blackwell GPU with 6144 cores. There's 128GB of LPDDR5X memory that gets shared between the CPU and GPU, the aforementioned 4TB of SSD storage, and a boatload of I/O that includes 4 x USB 3.2 Type-C ports, HDMI 2.1b, a LAN port, Wi-Fi 7, Bluetooth 5.1, and NVIDIA ConnectX-7 NIC. Acer's new Veriton GN100 AI Mini-PC measures 150 x 150 x 50.5mm and weighs under 1.5kg, with the super-small Mini-PC allowing users to run 405-billion-parameter LLMs (Large Language Models) easily. On the pricing side of things, Acer is selling its new Veriton GN100 AI Mini-PC for $3999, the same price that NVIDIA charges for its GB10 Superchip-powered Spark system. Acer Veriton GN100 AI Mini-PC features: * Ultra-compact personal AI workstation featuring the NVIDIA GB10 Grace Blackwell Superchip, equipped with 128 GB of unified memory, 4 TB of storage, and delivering up to 1 PFLOPS of FP4 AI performance. * Designed to work locally with large AI models and scale to larger workloads, connecting two Acer Veriton GN100 systems with NVIDIA ConnectX-7 SmartNIC, pre-installed with the latest NVIDIA AI software stack and support for common developer tools and frameworks, including PyTorch, Jupyter, and Ollama. * Space-efficient and secure, with Kensington lock support and the ability to link two units for handling AI models up to 405 billion parameters. As for NVIDIA's new GB10 Superchip, the new GB10 Superchip has a large number of innovations from the data center mixed in with the Blackwell GPU architecture that is traditionally in gaming and AI GPU markets (GeForce RTX 50 series, GB100, GB200, GB300 AI GPUs). In order to create the GB10 Superchip, NVIDIA uses technologies from the data center like NVFP4, CUDA, SLANG, TensorRT, vLLM, CX-7 NIC, NVLINK C2C, TMEM, and more, crammed into a Mini-PC platform in a small form factor. This is possible through the use of a multi-die packaging technology, a very low-power C2C interface, and Unified Memory Architecture (UMA). The results of this allow GB10 Superchip to power the new DGX Spark Workstation, with key features and benefits including:

ACER Veriton GN100 Is An AI Mini PC Equipped With NVIDIA's GB10 Superchip, & You Can Even Combine Two Together, Costs $3999

NVIDIA's GB10 Superchip is gaining more traction as Acer has adopted the SoC for its Veriton GN100 AI Mini PC, starting at $3999. Acer Packs NVIDIA's GB10 Superchip Inside Its Veriton GN100 AI Mini PC, 20 Cores & 128 GB Memory Priced at $3999 Back in May, NVIDIA finally launched its GB10-powered DGX Spark systems, which are tiny AI boxes that feature immense AI capabilities. At Hot Chips 2025, NVIDIA provided a deep dive into its GB10 Superchip architecture. This low-power solution for AI workloads spawned a range of Mini PCs from OEMs such as ASUS, Gigabyte, MSI, and many more. Today, Acer is joining the ranks with its own GB10-powered Mini PC, the Veriton GN100. * Ultra-compact personal AI workstation featuring the NVIDIA GB10 Grace Blackwell Superchip, equipped with 128 GB of unified memory, 4 TB of storage, and delivering up to 1 PFLOPS of FP4 AI performance. * Designed to work locally with large AI models and scale to larger workloads, connecting two Acer Veriton GN100 systems with NVIDIA ConnectX-7 SmartNIC, pre-installed with the latest NVIDIA AI software stack and support for common developer tools and frameworks, including PyTorch, Jupyter, and Ollama. * Space-efficient and secure, with Kensington lock support and the ability to link two units for handling AI models up to 405 billion parameters. Starting with the specifications, the Acer Veriton GN100 AI Mini PC is based around the NVIDIA GB10 AI Superchip, which is an SoC that packs a 20-core ARM CPU and a Blackwell GPU with 6144 cores, offering up to 1 PFLOPs of NVFP4 AI performance. The system comes equipped with 128 GB of LPDDR5x memory, which is shared across the CPU and GPU, plus there's 4 TB of NVMe storage, and a good set of IO, which includes four USB 3.2 Type-C ports, HDMI 2.1b, a LAN port, Wi-Fi 7, Bluetooth 5.1, and a NVIDIA ConnectX-7 Smart NIC. Now this NIC is important because it allows Acer to combine the Veriton GN100 AI Mini PCs for expanded AI capabilities. Each Veriton GN100 measures 150 x 150 x 50.5 mm and weighs less than 1.5 kg, making it a compact yet powerful AI device. Combining two of these Mini PCs allows users to run up to 405B LLMs with ease. As for pricing, Acer has listed the Veriton GN100 with its base NVIDIA GB10 Superchip configuration for $3999 US, EUR 3999, and AUD 6499. A USD 4K price tag is quite hefty, but this is what NVIDIA charges for its Spark system, too. 1 PFLOPs of AI performance is a lot, and that too in a Mini form factor since workstations with that much horsepower are larger in size and require additional components to work, which might cost a bit more.

Acer Introduces Veriton GN100 AI Mini Workstation Built on NVIDIA GB10 Superchip

The device is built on the NVIDIA® GB10 Grace Blackwell Superchip, delivering up to 1 PFLOPS of FP4 AI performance. This powerhouse combines next-generation CUDA® cores, fifth-gen Tensor Cores, and 20 Arm-based CPU cores, backed by 128 GB of unified system memory and 4 TB of NVMe M.2 SSD storage. Acer introduced the Veriton GN100 AI Mini Workstation, a compact yet powerful computer designed to run large AI models locally, minimizing dependence on cloud services and helping reduce associated costs. The device is built on the NVIDIA® GB10 Grace Blackwell Superchip, delivering up to 1 PFLOPS of FP4 AI performance. This powerhouse combines next-generation CUDA® cores, fifth-gen Tensor Cores, and 20 Arm-based CPU cores, backed by 128 GB of unified system memory and 4 TB of NVMe M.2 SSD storage. This robust configuration enables server-grade performance in a mini-PC form factor. The Acer Veriton GN100 includes the NVIDIA AI software stack, providing a full stack solution for AI developers. Developers, researchers, data scientists, and students can leverage common frameworks and tools such as PyTorch, Jupyter, and Ollama to prototype, fine-tune, test, and deploy large language models locally or seamlessly scale out to any accelerated cloud or data center infrastructure. Thanks to the NVIDIA ConnectX-7 NIC, users can link two Acer Veriton GN100 units to scale up and work with AI models reaching up to 405 billion parameters. Connectivity and security are also prioritized, with Wi-Fi 7, four USB 3.2 Type-C ports, an HDMI port, an Ethernet jack, and a Kensington lock ensuring robust protection and seamless system integration.