February 2026 has become the most consequential month in Nvidia’s history. The AI chipmaker delivered a record-shattering Q4 earnings report of $68.1 billion in revenue, shipped its first Vera Rubin GPU samples, announced a $10 billion investment in Anthropic, locked in a multi-year infrastructure deal with Meta, and accelerated its $200B push into India’s AI ecosystem, all within a single week.
Here’s a complete breakdown of every major Nvidia development in February 2026.
Nvidia AI News: Key Takeaways for February 2026
- Nvidia’s Q4 FY2026 results ($68.1B revenue, $78B Q1 guidance) confirm the AI infrastructure supercycle is accelerating, not plateauing
- The $10B Anthropic investment transforms Nvidia from vendor to strategic partner in the frontier model race
- Vera Rubin samples shipping marks the beginning of the platform transition, full cloud availability H2 2026
- The Meta deal and OpenAI partnership (near finalization) cement Nvidia’s dominance across every major AI lab
- India’s $200B+ AI expansion positions Nvidia at the center of sovereign AI infrastructure globally
- Physical AI crossed $6B in annual revenue — robots, autonomous vehicles, and industrial AI are now material to Nvidia’s business
Q4 FY2026 Earnings: Record $68.1 Billion Revenue (February 25, 2026)
Nvidia’s fourth-quarter fiscal 2026 results, reported on February 25, 2026, came in well above Wall Street’s already elevated expectations, confirming that AI infrastructure demand shows no signs of slowing.
Key Financial Highlights
- Revenue: $68.1 billion (+73% YoY, +20% QoQ) – a new all-time record
- Full FY2026 Revenue: $215.9 billion (+65% YoY)
- EPS (non-GAAP): $1.62 (+82% YoY)
- Gross Margin: 75.2% (non-GAAP)
- Free Cash Flow: $35 billion in Q4; $97 billion for full fiscal year
- Shareholder Returns: $41 billion returned via buybacks and dividends in FY2026
- Q1 FY2027 Guidance: $78 billion (±2%) – another record forecast
Segment Breakdown
- Data Center: Dominant revenue driver; hyperscalers accounted for just over 50% of data center revenue
- Networking: $11 billion in Q4 (up 3.5x YoY); over $31 billion for the full fiscal year, more than 10x compared to fiscal 2021
- Gaming: $3.7 billion (+47% YoY, -13% QoQ). Supply constraints expected to persist in Q1 FY2027
- Professional Visualization: $1.3 billion (+159% YoY) – first time crossing $1 billion
- Automotive & Robotics: $604 million (+6% YoY)
Nvidia Invests $10 Billion in Anthropic (February 2026)
One of the most significant announcements from Nvidia’s Q4 earnings call was a $10 billion strategic investment in Anthropic, the AI safety company behind the Claude model family.
What This Means
- Anthropic will train and run inference on Grace Blackwell and Vera Rubin systems
- Jensen Huang cited Claude Code and Claude Cowork as driving an “agentic AI ChatGPT moment” in enterprise adoption
- The partnership spans model development, infrastructure deployment, and long-term compute contracts
- Nvidia now has deep strategic partnerships across all four frontier AI labs: Anthropic, Meta, OpenAI, and xAI
This investment positions Nvidia not just as a hardware vendor but as an embedded infrastructure partner in the frontier model race — with financial skin in the game.
New Partnerships: Groq, Lilly, Siemens, DOE (February 2026)
Several new strategic partnerships were announced alongside or in proximity to earnings:
- Groq: Non-exclusive licensing agreement to accelerate AI inference at global scale, with Groq engineers joining Nvidia
- Eli Lilly: Co-innovation AI lab focused on drug discovery in the age of AI; expanded NVIDIA BioNeMo platform announced alongside
- Siemens: Expanded strategic partnership to build the industrial AI operating system
- Synopsys: Expanded partnership to revolutionize engineering and design across industries
- U.S. Department of Energy: Joined the Genesis Mission as a private industry partner to support US AI research infrastructure
Meta Partnership: Multi-Year, Multi-Generation AI Infrastructure (February 17, 2026)
Nvidia announced a strategic partnership with Meta that represents one of the largest AI infrastructure commitments in history, confirmed and celebrated again on the earnings call, where Huang said “Meta Superintelligence Labs is scaling up at lightning speed.”
Deal Components
- Millions of NVIDIA Blackwell GPUs – immediate deployment
- Millions of NVIDIA Rubin GPUs – 2026-2027 deployment
- Large-scale NVIDIA Vera CPU deployment planned for 2027
- NVIDIA Spectrum-X Ethernet across Meta’s entire infrastructure footprint
- NVIDIA Confidential Computing adopted for WhatsApp, enabling AI capabilities while protecting user privacy at Meta’s scale
Strategic Context
Meta is building hyperscale data centers optimized for both training and inference, not just LLM development, but production-scale AI for 4 billion users across Facebook, Instagram, WhatsApp, and Threads. Mark Zuckerberg’s stated goal of “personal superintelligence” demands infrastructure that can serve AI agents to billions of users simultaneously. This partnership provides that foundation.
Nvidia’s India Expansion: $200B AI Infrastructure Push
The India AI Impact Summit (February 16–20, 2026) triggered Nvidia’s most comprehensive country-specific expansion, positioning India as a critical sovereign AI hub globally.
Major India Partnerships Announced
Yotta Data Services — $2B+ Blackwell Ultra Deployment
- 20,736 liquid-cooled NVIDIA Blackwell Ultra GPUs
- Creates one of Asia’s largest AI superclusters
- Go-live: August 2026
- Additional $1B four-year agreement for NVIDIA DGX Cloud in Asia-Pacific
E2E Networks — Blackwell Ultra GPU deployment; stock surged 20%+ on announcement, +50% year-to-date
Larsen & Toubro (L&T) — India’s largest GW-scale NVIDIA AI factory under IndiaAI Mission, targeting manufacturing, energy, financial services, healthcare, and public services
Reliance New Energy, Hero MotoCorp, TCS — Access to NVIDIA GPUs, open-source AI models, and development software for industrial AI applications
Startup Ecosystem Investments
Nvidia partnered with Peak XV Partners, Z47, Elevation Capital, Nexus Venture Partners, Accel India, and Activate ($75M fund targeting 25-30 AI startups with Nvidia technical expertise). The AI Grants India partnership supports 10,000+ early-stage founders over the next 12 months.
India Deep-Tech Alliance involvement: $2.5B+ fund size, $1B committed to Indian AI startups over 3 years. The NVIDIA Inception Program currently supports 4,000+ Indian startups, including sovereign LLM builders BharatGen, CoRover, Gnani, Sarvam AI, and Soket.
Infrastructure Scale
- $200B+ in AI data center investments projected over next 2-3 years
- India ranks third globally in AI competitiveness (Stanford ranking), overtaking South Korea and Japan in 2025
- NVIDIA Nemotron open models support 22+ Indian languages for sovereign AI development
Dassault Systèmes Partnership: Industrial AI and Virtual Twins (February 3, 2026)
Nvidia and Dassault Systèmes announced a partnership to build a shared industrial AI architecture, merging virtual twins with physics-based AI.
Platforms Combined
- Nvidia: BioNeMo, CUDA-X AI physics libraries, Omniverse physical AI libraries
- Dassault: BIOVIA (science-validated world models), SIMULIA (AI-based virtual twin physics), DELMIA (virtual twins for factories), 3DEXPERIENCE ecosystem
The partnership builds on 25+ years of collaboration and positions virtual twins as “knowledge factories” — where industrial designs are validated in software before physical production begins.
Open-Source Model Economics: 4x–10x Inference Cost Reduction (February 13, 2026)
Nvidia released analysis showing dramatic reductions in cost per token for AI inferencing when Blackwell GPUs are paired with open-source models. Partners achieving these reductions: Baseten, DeepInfra, Fireworks AI, Together AI.
Additionally, new SemiAnalysis InferenceX benchmark results revealed that Blackwell Ultra delivers up to 50x better performance and 35x lower cost for agentic AI compared with the Hopper platform — a significant leap that makes AI inference economically viable at enterprise scale.