SpaceXAI and Nvidia plan to launch a space-optimized Vera Rubin NVL72 system to orbit in the fourth quarter of next year, with significant scale expected in 2028.

SpaceXAI, the artificial intelligence division of SpaceX (NASDAQ: SPCX), announced Monday that it will deploy NVIDIA Corp. (NASDAQ: NVDA) Vera CPUs to power its next generation of agentic artificial intelligence applications. The strategic partnership aims to enhance the performance of AI agents while optimizing energy efficiency across SpaceXAI’s computing infrastructure.

The collaboration extends beyond CPU deployment. SpaceXAI plans to expand its infrastructure for Grok using the NVIDIA Vera Rubin platform. This system integrates computing, networking, data processing, and software technologies to support scaling toward gigawatts of computing capacity. The platform is designed to handle AI training, reasoning, and inference workloads across large data centers.

Vera Targets Agentic AI Workloads

Agentic AI systems utilize CPUs to coordinate tools, run code, process data, and manage simulations between model requests. SpaceXAI intends to use the NVIDIA Vera CPU for these tasks, ensuring that graphics processing units remain fully utilized for other operations.

The Vera chip features 88 NVIDIA-designed Olympus cores and high-bandwidth LPDDR5X memory. It delivers up to 1.2 terabytes per second of memory bandwidth. According to NVIDIA, Vera can complete certain AI, reinforcement learning, and data-processing tasks up to 1.8 times faster than x86 CPUs.

Mike Nicolls, president of SpaceXAI, stated that the technology should improve AI agent performance while allowing the company to extract more work from each watt of computing power.

Orbital Computing Expansion

The partnership also involves bringing NVIDIA’s accelerated computing technology into orbit. Elon Musk posted on X that SpaceX, in partnership with Nvidia, has designed a space-optimized Vera Rubin NVL72 system for launch to orbit in Q4 next year, with significant scale in 2028.

SpaceXAI’s first-generation Starmind AI satellite will use an optimized Vera Rubin NVL72 rack-scale system. NVIDIA and SpaceXAI plan to adapt this architecture to meet the specific power, cooling, bandwidth, and reliability demands of orbital computing.

Market Reaction

NVIDIA shares were down 1.88% at $210.68 at the time of publication on Monday, according to Benzinga Pro data.

Nvidia Corp (NASDAQ: NVDA) shares declined 2.14% to $210.13 on Monday, reflecting broader weakness in the technology sector. The Nasdaq Composite fell 0.78%, while the S&P 500 slipped 0.19%. The tech sector dropped 1.5%, exerting downward pressure on the chipmaker ahead of its upcoming earnings report.

The sell-off contrasts with the constructive longer-term technical posture noted in previous sessions, where the stock traded above its key moving averages. Despite the intraday decline, momentum indicators such as the MACD remain above the signal line, suggesting underlying buyer control despite near-term volatility.

Analyst Outlook and Earnings Expectations

Nvidia is scheduled to report earnings on August 26. Wall Street consensus expects EPS of $2.07, up from $1.04 a year earlier, on revenue of $92.03 billion versus $46.74 billion. This represents a significant year-over-year growth trajectory consistent with the ongoing AI infrastructure buildout.

JPMorgan analyst Harlan Sur reiterated an Overweight rating with a $280 price forecast. Sur projects fiscal second-quarter revenue of $94 billion to $95 billion, exceeding the $92.1 billion Street consensus. He anticipates GB300 and remaining GB200 rack shipments will rise approximately 15% quarter over quarter to 17,000-18,000 units.

For the October quarter, Sur expects Nvidia to guide revenue to $107 billion to $108 billion, compared with the $104.5 billion consensus. He projects rack shipments will increase another 13% to 14% to 19,000-20,000 units, including the first 1,000-2,000 Vera Rubin racks. Sur estimates Vera Rubin could lift blended average selling prices by 5% to 10% and reduce per-token platform costs by about 90% versus Blackwell Ultra.

Strategic Expansion Beyond GPUs

Cantor Fitzgerald analyst C.J. Muse reiterated an Overweight rating and raised his price forecast to $350. Muse argues that investors underestimate Nvidia’s ability to sustain growth as it expands beyond GPUs into networking, rack-scale systems, software, infrastructure, and financing. While custom silicon could pressure Nvidia’s unit share at hyperscalers, he expects the company’s broader system strategy to support more resilient revenue share.

Muse outlined stretch-case EPS of $16 to $17 in calendar 2027 and $23 to $25 in 2028. Cantor expects hyperscaler capital spending to approach $1 trillion in 2026 and potentially reach $1.5 trillion in 2027. He estimates Nvidia could generate about $400 billion in calendar 2026 data center revenue with roughly 80% of a $500 billion AI accelerator and networking market.

By 2030, Cantor’s scenarios imply data center revenue of about $1.05 trillion at 60% market share, $1.23 trillion at 70%, and $1.4 trillion at 80%. Muse considers 60% share a bear case and estimates Nvidia could still produce $25-$30 in EPS by 2030.

Infrastructure and Competition

Nvidia continues to extend its AI strategy beyond chip manufacturing. The company recently partnered with SB Energy to secure land, power, and building capacity at the PORTS-Pike Technology Campus in Pike County, Ohio. OpenAI is set to utilize the site under a 20-year lease, targeting an initial deployment of 4.25 gigawatts of AI computing capacity using Nvidia GPUs, CPUs, networking, and software.

Regarding competition, Sur expects GPUs and ASIC/XPU platforms to move toward roughly equal shares of the AI compute market over the next several years, while Nvidia retains overall leadership. He expects near-term gross margins in the mid-70% range but sees rising memory costs as a longer-term risk. Nvidia trades at roughly 17 times Street calendar 2027 EPS and 13 times 2028 EPS, according to Sur.

What the Numbers Show

Nvidia’s Benzinga Edge scorecard highlights a divergence between growth expectations and valuation metrics. While the company scores 99.21 on Growth and 97.63 on Quality, it registers a Weak score of 5.71 on Value. This indicates the market is pricing in significant future growth, leaving limited room for execution errors. The Neutral Momentum score of 69.9 suggests that while the long-term trend is intact, the stock remains susceptible to sharp pullbacks when risk appetite cools.