Meta locks AMD, NVIDIA chip deals in one week for $135B AI infrastructure with 6GW deployment

Sunita Somvanshi

Meta office facility exterior showing modern corporate campus architecture with glass buildings and outdoor workspace areas

Meta Platforms has secured two major AI chip partnerships within one week, deploying billions of dollars worth of infrastructure from both AMD and NVIDIA. The social media company announced a deal with AMD on February 24, 2026, to deploy up to 6 gigawatts of Instinct GPUs using the Helios rack-scale architecture, with initial MI450 shipments beginning in the second half of 2026.

One week earlier, on February 17, 2026, Meta expanded its partnership with NVIDIA to deploy millions of Blackwell and Rubin GPUs alongside Grace and Vera CPUs. Both deals support Meta’s $115-135 billion capital expenditure budget for 2026, funding 30 planned data centers with 26 facilities in the United States. The dual-vendor strategy addresses compute constraints while Meta builds infrastructure for what CEO Mark Zuckerberg calls “personal superintelligence.”

These partnerships reflect the AI industry’s infrastructure arms race. NVIDIA maintains approximately 90% market share in AI accelerators with a $4.6 trillion valuation, while AMD at $320 billion positions itself as a second viable supplier through customized solutions. Industry analyst Ben Bajarin estimates the AMD agreement at tens of billions of dollars over four years, as deploying 6 gigawatts of capacity requires substantial time and investment. Similar deployments are happening across the tech sector, with AI development accelerating and infrastructure spending reaching unprecedented levels.

Meta’s Dual AI Chip Strategy: AMD and NVIDIA Partnerships

Meta secures massive chip deals with both AMD and NVIDIA within a week, deploying millions of GPUs for AI infrastructure expansion

Two Major AI Chip Partnerships

Advanced Micro Devices
Up to 6 Gigawatts

Custom MI450 GPUs in Helios rack-scale servers with 6th Gen EPYC CPUs starting second half 2026

Built on Open Compute Project architecture

META
NVIDIA Corporation
Millions of GPUs

Blackwell and Rubin GPUs with Grace CPUs and Vera processors

Spectrum-X Ethernet networking included

Partnership By The Numbers

$135B
Meta’s 2026 Capital Expenditure Budget
Range of $115-135 billion for AI infrastructure
30
Planned Data Centers
26 facilities planned across the United States
~90%
NVIDIA’s Market Share
Dominance in AI chip market with $4.6T valuation
67%
NVIDIA Revenue Growth
Expected Q4 growth to approximately $66 billion

Deal Timeline and Key Developments

January 28, 2026
Meta Earnings Report
Meta reports Q4 2025 results and commits to $115-135 billion capital expenditures for 2026, focused on AI infrastructure and Meta Superintelligence Labs.
October 6, 2025
OpenAI-AMD Partnership
OpenAI announces 6 gigawatt AMD GPU deployment agreement, establishing AMD as credible second supplier for AI infrastructure with warrant for up to 160 million shares.
February 17, 2026
NVIDIA Partnership Expansion
Meta announces multiyear partnership deploying millions of NVIDIA Blackwell and Rubin GPUs with Grace CPUs, Spectrum-X networking, and Confidential Computing for WhatsApp.
February 24, 2026
AMD Deal Announced
Meta announces up to 6 gigawatt deployment of custom AMD Instinct MI450 GPUs in Helios systems, with performance-based warrant for up to 160 million AMD shares.
Second Half 2026
First AMD Shipments Begin
Initial 1 gigawatt deployment of custom MI450-based Instinct GPUs with 6th Gen EPYC Venice CPUs and ROCm software scheduled to begin.
2027
Expanded Deployment Phase
Potential large-scale deployment of NVIDIA Vera CPUs alongside continued AMD Helios infrastructure expansion and additional GPU generations.

AI Chip Market Valuation Comparison

Strategic Implications

🎯
Customization Advantage
AMD’s deal features custom Instinct GPUs based on MI450 architecture optimized specifically for Meta’s workloads, differentiating it from standard NVIDIA deployments and helping AMD compete for hyperscale contracts.
Compute Constraint Reality
Meta’s dual partnerships demonstrate industry-wide compute shortage. Companies deploying AI at scale need multiple suppliers to meet infrastructure demands, as single-vendor dependency creates supply risk.
🔧
Full-Stack Control
Meta controls its technology stack and can deploy compute from any provider, offering flexibility competitors lack. This includes in-house processor development and exploration of Google TPU integration.
📊
AMD’s Competitive Position
At $320 billion valuation versus NVIDIA’s $4.6 trillion, AMD’s Helios rack-scale platform represents first large-scale alternative to NVIDIA’s Grace Blackwell systems launched in 2024.
🔐
Privacy Integration
Meta adopted NVIDIA Confidential Computing for WhatsApp private processing, enabling AI-powered features while protecting user data confidentiality and integrity during computation.
💰
Multi-Billion Dollar Scale
AMD deal estimated at tens of billions over four years minimum. Deploying 6 gigawatts requires extensive time and capital investment at unprecedented infrastructure scale.

The partnerships between Meta, AMD, and NVIDIA were discussed, covering deployment timelines, infrastructure specifications, and investment amounts. The AMD agreement involves up to 6 gigawatts of custom MI450-based GPUs in Helios systems with shipments beginning second half 2026. The NVIDIA partnership includes millions of Blackwell and Rubin GPUs with Grace CPUs and Spectrum-X networking.

Financial commitments were outlined, with Meta’s $115-135 billion 2026 capital expenditure range supporting 30 data centers. Market positions were noted, with NVIDIA holding approximately 90% AI chip market share at $4.6 trillion valuation and AMD at $320 billion. Technical details covered custom GPU architectures, rack-scale platforms, and processor generations from both vendors.

The coverage included analyst estimates placing the AMD deal at tens of billions over four years, performance-based share warrants, and strategic supply diversification. Additional context included the October 2025 OpenAI-AMD partnership and NVIDIA’s earnings expectations for February 25, 2026. Related developments in gaming industry changes, consumer hardware launches, mobile technology updates, and cloud infrastructure incidents were referenced for broader technology sector context.

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