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SpaceXAI Adopts NVIDIA Vera CPU to Accelerate Agentic AI at Massive Scale

(Neutral)
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AI

NVIDIA (NASDAQ: NVDA) announced that SpaceXAI will deploy NVIDIA Vera CPUs and the Vera Rubin platform to power its next-generation agentic AI infrastructure for Grok, scaling toward gigawatts of compute capacity.

SpaceXAI plans to use Vera to accelerate CPU-intensive orchestration, code execution, data processing and simulations, keeping GPUs fully utilized. NVIDIA Vera features 88 Olympus cores, Spatial Multithreading and LPDDR5X memory delivering up to 1.2TB/s bandwidth, enabling up to 1.8x faster task completion versus x86 CPUs. SpaceXAI also plans a first-generation Starmind AI satellite based on an optimized Vera Rubin NVL72 rack-scale system, extending NVIDIA’s accelerated computing architecture from terrestrial AI factories into orbital AI infrastructure.

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Positive

  • SpaceXAI selects NVIDIA Vera CPUs for next-generation agentic AI workloads
  • Vera CPU delivers up to 1.8x faster task completion vs x86 CPUs
  • Vera memory bandwidth up to 1.2TB/s with LPDDR5X
  • Vera Rubin platform positioned as common architecture for gigawatt-scale AI factories
  • Planned Starmind AI satellite to use optimized Vera Rubin NVL72 system in orbit

Negative

  • None.

News Explained

The announcement describes planned deployment rather than a completed or binding transaction: NVIDIA states the plans are not a commitment, promise or legal obligation, and the products remain available only on a when-and-if-available basis.

Market Context

AI-tagged historical events averaged a -1.15% 24-hour reaction, adding a cautious platform-level com...
Analysis

AI-tagged historical events averaged a -1.15% 24-hour reaction, adding a cautious platform-level comparator to this Vera Rubin deployment announcement. The record included both divergence and alignment, while net insider selling and adoption execution remained relevant risks to watch.

Key Figures

Olympus cores: 88 cores Memory bandwidth: 1.2TB/s Task completion improvement: up to 1.8x faster
3 metrics
Olympus cores 88 cores NVIDIA Vera CPU
Memory bandwidth 1.2TB/s NVIDIA Vera CPU
Task completion improvement up to 1.8x faster Compared with x86 CPUs across specified workloads

Previous AI Reports

5 past events · Latest: Aug 17 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Aug 17 AI infrastructure deal Positive -0.1% Exclusive AI compute infrastructure arrangement with SB Energy and OpenAI tenant
Jul 26 AI toolkit expansion Positive -5.0% Added PhysicsNeMo and CUDA-X libraries for autonomous engineering agents
Jul 25 AI factory expansion Positive +0.0% Planned Korea infrastructure expansion from 55 megawatts to 200 megawatts
Jul 23 AI research collaboration Positive -0.9% Joint KAIST laboratory with $300 million collaboration and compute contributions
Jul 20 AI toolkit expansion Positive +0.2% Added Omniverse libraries for agent-enabled simulation-ready 3D workflows

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements produced an average 24-hour move of -1.15%, with three negative reactions, one positive reaction and one unchanged reaction.

Key Terms

agentic ai, model inference, spatial multithreading, lpddr5x
4 terms
agentic ai technical
"accelerate the work behind its next generation of agentic AI workloads"
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
model inference technical
"CPU-intensive work that surrounds model inference"
Model inference is the process of applying a trained machine‑learning model to new data to produce predictions, classifications, probabilities, or other outputs. It matters to investors because those outputs feed automated trading signals, risk scores, valuations, or consumer-facing features, so the speed, accuracy, and reliability of inference affect how timely and dependable decisions and disclosures based on the model will be—like using a completed recipe to cook a meal for guests.
spatial multithreading technical
"NVIDIA Spatial Multithreading technology"
A hardware and software design approach that runs many concurrent instruction streams by assigning them to separate physical execution resources or lanes so threads execute in parallel rather than time‑sharing the same unit. It aims to improve throughput and reduce stalls by keeping different workstreams active on different parts of the chip, like giving each worker a separate station instead of forcing them to wait to use one shared tool. Investors watch it because it directly affects a product’s performance, power efficiency and ability to handle parallel workloads, which influence competitiveness in markets for processors, accelerators and cloud services.
lpddr5x technical
"high-bandwidth LPDDR5X memory"
LPDDR5X is a modern, low-power type of volatile memory used mostly in smartphones, tablets and other energy-sensitive devices to store working data temporarily while apps run. Think of it as a faster, more efficient short-term memory for a device — its speed and lower power use can improve performance and battery life, so adoption trends affect makers of chips and devices and can signal competitiveness in hardware design.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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SpaceXAI Scales NVIDIA Vera Rubin From Terrestrial AI Factories to First-Generation Starmind Satellite

News Summary:

  • 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.

SANTA CLARA, Calif., Aug. 24, 2026 (GLOBE NEWSWIRE) -- 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 NVLink™ interconnect technology, NVIDIA Spectrum-X™ 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.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Kacie Thomas
Corporate Communications
NVIDIA Corporation
press@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: SpaceXAI deploying Vera for these new application workloads while building its AI infrastructure on Vera Rubin — from AI factories on Earth to computing in orbit; expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to third parties’ business plans and third parties’ adoption of NVIDIA technology; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on NVIDIA’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

© 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, NVIDIA Spectrum-X and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at:
https://www.globenewswire.com/NewsRoom/AttachmentNg/2079839a-77f3-49ac-967c-f182a497cd7e


FAQ

What did NVIDIA (NVDA) announce about SpaceXAI and the Vera CPU on August 24, 2026?

NVIDIA announced that SpaceXAI will deploy NVIDIA Vera CPUs and the Vera Rubin platform to power its next-generation agentic AI workloads. According to NVIDIA, this includes scaling Grok’s AI infrastructure and planning a first-generation Starmind AI satellite based on an optimized Vera Rubin NVL72 system.

What is the NVIDIA Vera CPU and how is SpaceXAI using it for agentic AI?

NVIDIA Vera is a CPU designed for AI agents, handling orchestration, code execution, data processing and simulation around model inference. According to NVIDIA, SpaceXAI will use Vera so AI agents act faster while keeping GPUs fully utilized across its expanding Grok infrastructure.

What is the NVIDIA Vera Rubin platform mentioned in the SpaceXAI announcement for NVDA?

NVIDIA Vera Rubin is an AI infrastructure platform codesigned across compute, networking and software to optimize large-scale AI factories. According to NVIDIA, it combines accelerated computing, NVLink, Spectrum-X Ethernet, BlueField data processing and software to improve performance, energy efficiency and cost per token for SpaceXAI.

How powerful is NVIDIA Vera in terms of cores and memory bandwidth for SpaceXAI workloads?

NVIDIA Vera features 88 Olympus cores and high-bandwidth LPDDR5X memory delivering up to 1.2TB/s of bandwidth. According to NVIDIA, Vera can enable up to 1.8x faster task completion versus x86 CPUs for agentic AI, reinforcement learning and data processing workloads.

What is the planned Starmind AI satellite using NVIDIA Vera Rubin NVL72?

Starmind is SpaceXAI’s planned first-generation AI satellite based on an optimized NVIDIA Vera Rubin NVL72 rack-scale system. According to NVIDIA, this extends the same accelerated computing architecture used in next-generation AI factories on Earth into orbital AI infrastructure with shared architecture and software.

How does the SpaceXAI collaboration affect NVIDIA’s presence in space-based AI computing?

The collaboration extends NVIDIA’s accelerated computing architecture from terrestrial AI factories into orbital AI systems via the planned Starmind satellite. According to NVIDIA, adapting Vera Rubin NVL72 for orbit preserves a common NVIDIA architecture and software ecosystem across Earth-based and space-based AI infrastructure.