SpaceXAI Deploys NVIDIA Vera CPU to Power Agentic AI from Earth to Orbit

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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 Scales Agentic AI with NVIDIA Vera CPU

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

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. 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 calls

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. 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"

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. 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 2027

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Source: Wccftech

Source: Wccftech

NVIDIA Vera CPU Architecture Designed for AI Agents

NVIDIA Vera represents the first CPU built specifically for AI agents, engineered to accelerate the CPU-intensive tasks that surround model inference

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. The processor features 88 NVIDIA-designed Olympus cores, NVIDIA Spatial Multithreading technology, and high-bandwidth LPDDR5X memory delivering up to 1.2TB/s of bandwidth

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. This architecture enables up to 1.8x faster task completion compared with x86 CPUs across workloads including agentic AI, reinforcement learning, and data processing

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. 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"

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. The unified computing foundation for AI agents helps them act faster while keeping GPUs fed and fully utilized, maximizing performance from every watt of compute

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Source: NVIDIA

Source: NVIDIA

Vera Rubin Platform Powers Grok AI Infrastructure Expansion

SpaceXAI plans to expand its AI infrastructure for Grok with the Vera Rubin platform as it scales toward gigawatts of computing capacity

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. 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 architecture

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. This extreme codesign approach makes it the ideal choice for SpaceXAI's terrestrial and orbital computing requirements

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. 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 workloads

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. As SpaceXAI expands its capabilities, Vera Rubin provides a common architecture to efficiently scale its next generation of AI factories

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Starmind AI Satellite Extends Computing to Orbit

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

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. 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 energy

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. 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 analytics

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. NVIDIA and SpaceXAI are working to adapt this foundation to the requirements of orbital computing while preserving a common NVIDIA architecture and software ecosystem

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. This delivers one computing foundation across environments, with real-time agent orchestration capabilities extending from terrestrial data centers to space.

Implications for AI Computing Beyond Earth

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.

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