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10 Total Reports
Cisco Other 2026-07-15

Cisco, G42, AMD Deploy 1GW AI Cluster in UAE, Pushing GPU Diversification and Full-Stack Integration

Cisco, G42, and AMD partner to deploy a large-scale AI cluster in the UAE based on AMD MI350X GPUs, integrating Cisco's full-stack secure AI infrastructure (UCS servers, Nexus 9K switches, Firepower firewalls). This marks Cisco's transformation into a full-stack AI infrastructure integrator and positions AMD as a second GPU supplier for US-allied nations, locking out Chinese vendors in the UAE market.

Meta Other 2026-07-14

Meta Expands Hyperion to 5GW with $50B Investment, Pioneering Local-First AI Infrastructure

Meta expands its Louisiana Hyperion data center to 5GW capacity, raising total investment from $10B to $50B. Partnering with Entergy to build 10 power plants and 240 miles of transmission lines, and utilizing JV and financing structures, Meta pioneers a local-first model that reshapes the collaboration between AI infrastructure, energy, and capital.

Meta Other 2026-07-13

Meta Iris Chip to Mass Produce in September: 6-Month Cadence Threatens NVIDIA GPU Hegemony

Reuters confirms Meta's Iris AI chip mass production in September, targeting 2.5GW by end-2026 and 14GW by 2027. Meta's 6-month MTIA generation cadence directly challenges NVIDIA's annual GPU cycle, signaling a hyperscaler shift from GPU dependency to custom ASIC sovereignty.

Meta Other 2026-07-12

Meta Invests $9.17B in Canada AI Data Center, Iris AI Chip Mass Production Begins MTIA Roadmap

Meta announced a $9.17B AI data center in Canada with 1GW capacity, and its first in-house AI chip Iris will mass produce in September, kicking off the MTIA four-generation roadmap. Meta targets 14GW compute by 2027, using 6-month chip iterations to challenge NVIDIA's annual cadence and reduce GPU dependency.

Anthropic Other 2026-07-12

Anthropic Locks 3.5GW TPU Compute with Broadcom, Signaling Shift to Custom AI ASICs

Broadcom's Q2 FY2026 filing reveals a 3.5GW TPU compute deal with Anthropic starting 2027. This marks a strategic shift from general-purpose GPUs to custom ASICs for AI workloads, with OpenAI and Meta making similar multi-GW commitments, signaling a fundamental change in AI infrastructure.

Anthropic Other 2026-07-06

Anthropic's $15B Australia Bet: AI Infra Shifts to Energy Arbitrage

Anthropic plans to invest $15B to secure 1.4GW of data center capacity in Australia, aiming to activate 1GW by next year. This move bypasses US grid bottlenecks from local opposition and litigation, building a hybrid model of self-build, partnerships, and cloud leasing. It signals a shift in AI infra deployment toward energy and regulatory arbitrage.

Anthropic Other 2026-07-06

Anthropic Australia 1.4GW data center

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Anthropic Other High Signal 2026-04-21

Anthropic Signs $100B+ Deal with AWS to Lock in Decade of AI Compute

Anthropic signed a new agreement with Amazon AWS, committing over $100 billion over the next decade to secure up to 5GW of AI compute capacity and deeply integrate the Claude Platform into AWS. This move aims to address explosive demand for its Claude models and solidify its position as a key AI model provider on AWS.

Meta Other High Signal 2026-04-14

Meta-Broadcom Multi-Year 2nm AI Chip Partnership, Initial 1GW+ Deployment

Meta and Broadcom announced multi-year, multi-generation strategic partnership to co-develop MTIA (Meta Training and Inference Accelerator) chips through 2029. Initial deployment exceeds 1GW, with multi-gigawatt expansion planned. Industry-first 2nm AI compute accelerator, based on Broadcom XPU platform. Meta has planned MTIA 300/400/450/500 iterations for recommendation, ranking, and large-scale inference. Broadcom CEO Hock Tan to step down from Meta board, transition to strategic advisor.

Google Other Medium Signal 2026-03-19

Google Data Center Demand Response Signs 1GW, Building Grid Flexibility

Google integrates multiple utilities through long-term energy contracts to achieve 1GW data center demand response capability. The technology regulates energy consumption by limiting or shifting ML workloads to balance grid supply and demand. This transforms data centers from power consumers to grid flexibility assets.