2 Sources
[1]
SpaceXAI Adopts NVIDIA Vera CPU to Accelerate Agentic AI at Massive Scale
* SpaceXAI will deploy NVIDIA Vera CPUs to accelerate the work behind its next generation of agentic AI workloads. * SpaceXAI is expanding its AI infrastructure for Grok with the NVIDIA Vera Rubin platform as it scales toward gigawatts of computing capacity. * SpaceXAI plans to extend its use of NVIDIA accelerated computing into space, with the first-generation Starmind AI satellite based on an optimized NVIDIA Vera Rubin NVL72 system. NVIDIA today announced that SpaceXAI will deploy NVIDIA Vera CPUs to accelerate its next generation of agentic AI applications, bringing the first CPU built for AI agents to one of the world's most ambitious AI deployments. Agentic AI applications increasingly rely on CPUs to orchestrate tools, execute code, process data and run simulations between model calls. SpaceXAI will use Vera to accelerate these application workloads, helping AI agents act faster while keeping GPUs fed and fully utilized. SpaceXAI plans to expand its AI infrastructure behind Grok on NVIDIA Vera Rubin, while extending an optimized Vera Rubin NVL72 into space with its first-generation Starmind satellite. "Agentic AI requires a new kind of computing system -- one built not only to generate answers, but to take action," said Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA. "Vera gives AI agents the CPU performance to act in real time -- executing code, processing data and coordinating complex tasks. SpaceXAI is taking this architecture from massive AI factories to the next frontier of computing in orbit." "Vera gives us the CPU performance and memory bandwidth to run enormous amounts of orchestration, code and data processing while keeping GPUs doing what they do best," said Mike Nicolls, president of SpaceXAI. "That means higher-performance AI agents and more useful work from every watt of compute." NVIDIA Vera -- The CPU for Agents NVIDIA Vera is the first CPU built for AI agents, designed to accelerate the CPU-intensive work that surrounds model inference -- from tool use and code execution to data processing, orchestration and simulation. Vera features 88 NVIDIA-designed Olympus cores, NVIDIA Spatial Multithreading technology and high-bandwidth LPDDR5X memory, delivering up to 1.2TB/s of bandwidth. Vera enables up to 1.8x faster task completion compared with x86 CPUs across workloads including agentic AI, reinforcement learning and data processing. SpaceXAI Scales AI Infrastructure With NVIDIA Vera Rubin At massive scale, AI infrastructure must support demanding training, reasoning and inference workloads while maximizing performance, power efficiency and utilization. NVIDIA Vera Rubin is codesigned across compute, networking and software to optimize the AI factory as a whole. The platform brings together NVIDIA accelerated computing, NVIDIA NVLinkâ„¢ interconnect technology, NVIDIA Spectrum-Xâ„¢ Ethernet networking, NVIDIA BlueField data processing and NVIDIA software in an integrated architecture designed to deliver high performance and energy efficiency at scale while driving down cost per token. As SpaceXAI expands toward gigawatts of computing capacity, Vera Rubin provides a common architecture to efficiently scale its next generation of AI factories -- a foundation SpaceXAI plans to take beyond terrestrial data centers and into orbital computing. NVIDIA Accelerated Computing, From Earth to Orbit SpaceXAI's work with NVIDIA is moving beyond AI factories on Earth. SpaceXAI is developing AI computing infrastructure for orbit, where power, thermal management, bandwidth, reliability and physical integration impose dramatically different constraints from conventional data centers. SpaceXAI's planned first-generation Starmind AI satellite will be based on the optimized NVIDIA Vera Rubin NVL72 rack-scale system, extending the same accelerated computing architecture powering next-generation AI factories on Earth into space. NVIDIA and SpaceXAI are working to adapt that foundation to the requirements of orbital computing while preserving a common NVIDIA architecture and software ecosystem. This delivers one computing foundation across a wide range of environments: Vera CPUs accelerating increasingly sophisticated AI agents, Vera Rubin powering the AI infrastructure behind Grok and gigawatt-scale AI factories on Earth, and NVIDIA accelerated computing extending into orbital AI infrastructure. Learn more about the NVIDIA Vera Rubin platform and NVIDIA Vera CPU.
[2]
SpaceXAI Will Use NVIDIA Vera CPUs To Power Its Next-Gen Agentic AI Workloads, Also Bringing Vera Rubin Acceleration To Grok & Starmind AI Satellite
NVIDIA's Vera CPUs & Vera Rubin servers will be powering multiple SpaceXAI platforms such as its next-gen Agentic AI workloads, Grok AI, & Starmind AI satellite. SpaceXAI Doubles Down on NVIDIA's Latest AI Platforms As It Leverages Vera CPUs & Vera Rubin Servers To Accelerate Agentic AI Workflows, & Take AI Beyond The Terrestrial Boundaries Today, NVIDIA and SpaceXAI are making a blockbuster announcement in which both companies will come together to accelerate next-gen Agentic AI workloads further by leveraging Vera Rubin and Vera CPU platforms. These announcements come a few weeks after Elon Musk committed exclusively to NVIDIA GPUs for SpaceXAI's AI endeavors, citing that "They're The Best," and has confirmed the bring-up of 10 Megawatts of AI compute by 2027 based on NVIDIA's latest AI solutions. Firstly, SpaceXAI has announced the adoption of NVIDIA's Vera CPUs to fuel its next-gen Agentic AI workflows. Since Agentic AI workloads rely heavily on CPUs to orchestrate tools, execute code, process data, and run simulations between model calls, having a fast CPU is essential. That's why Vera CPU is being leveraged by SpaceX AI. "Vera gives us the CPU performance and memory bandwidth to run enormous amounts of orchestration, code and data processing while keeping GPUs doing what they do best," said Mike Nicolls, president of SpaceXAI. "That means higher-performance AI agents and more useful work from every watt of compute." In addition to using Vera, SpaceXAI will also utilize NVIDIA's Vera Rubin server platform for its two critical AI systems, the first being Grok AI. SpaceXAI will expand its AI infrastructure for Grok with Vera Rubin servers as it scales towards gigawatts of computing capacity. The Extreme Codesign nature of Vera Rubin, which brings together the industry's best compute, networking, and software stack under a single roof, makes for the ideal choice for SpaceXAI. And it doesn't stop at the terrestrial level; SpaceXAI is also working with NVIDIA to utilize Space-1 Vera Rubin chips. For data-center-class AI at scale. This Rubin module is designed specifically for Outer Space, featuring a tightly integrated GPU-CPU design, offering a high-bandwidth interconnect, and is powered completely by solar energy radiated from the Sun. Some features of the NVIDIA Space-1 Vera Rubin module include: * Performance: The module offers up to 25 times the AI compute capability of the previous H100 GPU for orbital workloads. * Purpose: It enables real-time AI processing for geospatial intelligence, autonomous operations, and on-orbit analytics. * Architecture: It utilizes the same "Vera Rubin" architecture as NVIDIA's terrestrial chips for a unified development ecosystem. * Partnerships: The hardware is planned for use by firms such as Aetherflux, Axiom Space, and Planet Labs. * Application: It is intended for satellites and on-orbit servicing vehicles requiring high-performance AI inference in space. The system will be adopted by SpaceXAI's first-generation "Starmind" AI satellite. Both companies are already working to adapt that foundation to the requirements of orbital computing. "Agentic AI requires a new kind of computing system -- one built not only to generate answers, but to take action," said Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA. "Vera gives AI agents the CPU performance to act in real time -- executing code, processing data and coordinating complex tasks. SpaceXAI is taking this architecture from massive AI factories to the next frontier of computing in orbit." SpaceXAI's adoption of NVIDIA's Vera CPUs and Vera Rubin platform marks a pivotal leap in agentic AI, uniting high-performance terrestrial infrastructure for Grok with the pioneering extension of the same architecture into orbit via the first-generation Starmind satellite, delivering a seamless computing foundation that accelerates real-time agent orchestration, maximizes efficiency at gigawatt scale, and opens the next frontier of AI beyond Earth. Follow Wccftech on Google to get more of our news coverage in your feeds.
Share
Copy Link
SpaceXAI is adopting NVIDIA Vera CPU to accelerate next-generation agentic AI workloads while expanding its AI infrastructure for Grok with the Vera Rubin platform. The company plans to scale toward gigawatts of computing capacity and extend this architecture into space with its first-generation Starmind AI satellite.
SpaceXAI has announced it will deploy NVIDIA Vera CPU to accelerate its next-generation agentic AI workloads, marking a significant expansion of its AI infrastructure
1
. The deployment addresses a critical bottleneck in agentic AI applications, which increasingly rely on CPUs to orchestrate tools, execute code, process data, and run simulations between model calls1
. Mike Nicolls, president of SpaceXAI, emphasized that "Vera gives us the CPU performance and memory bandwidth to run enormous amounts of orchestration, code and data processing while keeping GPUs doing what they do best"2
. This decision comes weeks after Elon Musk committed exclusively to NVIDIA GPUs for SpaceXAI's AI endeavors, confirming plans to bring up 10 megawatts of AI compute by 20272
.
Source: Wccftech
NVIDIA Vera represents the first CPU built specifically for AI agents, engineered to accelerate the CPU-intensive tasks that surround model inference
1
. The processor features 88 NVIDIA-designed Olympus cores, NVIDIA Spatial Multithreading technology, and high-bandwidth LPDDR5X memory delivering up to 1.2TB/s of bandwidth1
. This architecture enables up to 1.8x faster task completion compared with x86 CPUs across workloads including agentic AI, reinforcement learning, and data processing1
. Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, stated that "Agentic AI requires a new kind of computing system -- one built not only to generate answers, but to take action"2
. The unified computing foundation for AI agents helps them act faster while keeping GPUs fed and fully utilized, maximizing performance from every watt of compute1
.
Source: NVIDIA
SpaceXAI plans to expand its AI infrastructure for Grok with the Vera Rubin platform as it scales toward gigawatts of computing capacity
1
. The Vera Rubin platform is codesigned across compute, networking, and software to optimize the AI factory as a whole, bringing together NVIDIA accelerated computing, NVIDIA NVLink interconnect technology, NVIDIA Spectrum-X Ethernet networking, NVIDIA BlueField data processing, and NVIDIA software in an integrated architecture1
. This extreme codesign approach makes it the ideal choice for SpaceXAI's terrestrial and orbital computing requirements2
. The platform is designed to deliver high performance and energy efficiency at scale while driving down cost per token, supporting demanding training, reasoning, and inference workloads1
. As SpaceXAI expands its capabilities, Vera Rubin provides a common architecture to efficiently scale its next generation of AI factories1
.Related Stories
SpaceXAI's first-generation Starmind AI satellite will be based on an optimized NVIDIA Vera Rubin NVL72 rack-scale system, extending the same accelerated computing architecture powering next-generation AI factories on Earth into space
1
. The Space-1 Vera Rubin module is designed specifically for outer space, featuring a tightly integrated GPU-CPU design with high-bandwidth interconnect and powered completely by solar energy2
. The module offers up to 25 times the AI compute capability of the previous NVIDIA H100 GPU for orbital workloads, enabling real-time AI processing for geospatial intelligence, autonomous operations, and on-orbit analytics2
. NVIDIA and SpaceXAI are working to adapt this foundation to the requirements of orbital computing while preserving a common NVIDIA architecture and software ecosystem1
. This delivers one computing foundation across environments, with real-time agent orchestration capabilities extending from terrestrial data centers to space.The partnership positions SpaceXAI at the forefront of both terrestrial and space-based AI computing. By adopting the same architecture for both environments, SpaceXAI can accelerate AI computing development cycles and maintain consistency across deployments. The ability to process data in orbit rather than transmitting it to Earth for analysis could transform applications in satellite imagery, space exploration, and autonomous spacecraft operations. Watch for how this unified approach influences other space technology companies and whether the performance claims for orbital workloads materialize as planned. The scalability toward gigawatts of computing capacity on Earth combined with space deployment suggests SpaceXAI is positioning itself to handle exponentially growing AI demands across multiple frontiers, potentially reshaping how we think about distributed AI infrastructure in the coming years.
Summarized by
Navi
26 May 2026•Technology
22 Jun 2026•Technology

25 Feb 2026•Technology

1
Technology

2
Technology

3
Technology
