Reports
AI-generated structured vendor updates
WhiteFiber and DriveNets Achieve 111.2 Tbps Cross-DC AI Fabric, Breaking Power Constraints
WhiteFiber announces Project Redwood, partnering with DriveNets Ethernet AI fabric (FSE, VOQ, deep buffers), WEKA storage, and NVIDIA H200 GPUs, achieving 111.2 Tbps bandwidth and 0.9ms latency over 83km dark fiber, treating two geographically separated GPU clusters as a single logical supercluster. Commercialization planned for Q3 2026.
Intel押注3D堆叠AI芯片 18A-PT+Foveros Direct 3D+EMIB-T全栈整合
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Microsoft Takes Over OpenAI's Arctic Data Center, Seizing AI Compute Control
Microsoft leases a data center in Norway's Arctic Circle from Nscale, deploying 30,000 NVIDIA Vera Rubin GPUs, filling the gap left by OpenAI's retreat. OpenAI slashes its 2030 infrastructure budget from $140B to $60B. Microsoft surpasses OpenAI in AI compute capacity and gains geographical redundancy.
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.
SambaNova完成11亿美元融资估值110亿美元：推理芯片新格局确立
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NVIDIA Rigel Core: Single-Threaded CPU as the New Control Plane for Agentic AI
NVIDIA unveils Rosa CPU architecture with custom Rigel core (Arm v9.2), targeting single-threaded performance for Agentic AI workloads, paired with Feynman GPU (1.6nm, 50 PFLOPS) in 2028. This shifts CPU design from core-count scaling to serial-latency optimization, directly challenging AMD EPYC and Intel Xeon dominance.
NVIDIA Vera CPU获Perplexity/OpenAI/Anthropic/Oracle采用 AI Agent性能验证1.5-1.9x加速
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Cisco Locks AI Data Center Security Control Plane with Silicon One and Hypershield
Cisco launches next-gen security for AI data centers, deeply integrating Splunk SIEM with its Silicon One 51.2Tbps chip and Hypershield architecture to push security policies to the network edge. This move aims to shift the security control plane from standalone appliances to its proprietary ASIC and management platform, creating hardware lock-in.
NVIDIA Kyber NVL144 Delayed to 2028: Midplane PCB Manufacturing Becomes AI Scaling Bottleneck
SemiAnalysis reveals NVIDIA's Kyber NVL144 delayed beyond 12 months to 2028 due to 78-layer Orthogonal Backplane manufacturing challenges. The interim NVL72x2 solution is cancelled due to operational burdens, and the 4-die Rubin Ultra is also scrapped, leaving a product gap in NVIDIA's scaling roadmap.
AMD Unveils Zen 6/7 CPU and MI400/500 GPU Roadmap, Targets NVIDIA Rubin with HBM4 and 2nm
AMD unveiled its Zen 6/7 CPU and MI400/500 GPU roadmap at its 2026 Financial Analyst Day, featuring TSMC 2nm process and HBM4 memory. The MI400 series boasts 432GB memory, 19.6TB/s bandwidth, and 40 PFLOPs FP4 performance, directly targeting NVIDIA's Vera Rubin architecture with an annual cadence to disrupt the AI hardware monopoly.
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 Launches Custom AI Chip: Vertical Integration to Control Inference Cost and Supply
Anthropic launched Claude Sonnet 5 and revealed a custom AI chip initiative, using Samsung foundry. This move aims to reduce dependency on NVIDIA, control long-term inference costs, and marks Anthropic's shift from a pure software company to a vertically integrated infrastructure firm.
NVIDIA Vera Rubin AI Platform Slated for July 2026 Shipments, Iterative Compute Upgrade
NVIDIA confirms its next-gen AI compute platform, Vera Rubin, will start shipping in July 2026 to major cloud providers like Microsoft and Google. The platform uses an advanced process node to boost AI training and inference performance, representing an iterative upgrade over Hopper and Blackwell without a fundamental architectural shift.
Meta Shifts MTIA ASIC to Samsung 2nm: Ecosystem Restructuring in AI Chip Fab
Meta partners with Samsung for next-gen MTIA ASIC production, moving from TSMC to Samsung 2nm node. Targeting hundreds of thousands of units to support 5GW data center goal by 2030, with new chip every six months, restructuring the AI chip supply chain ecosystem.
英特尔确认上调部分消费级和服务器CPU价格，数据中心产品涨幅达数百美元
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NVIDIA AI Compute Partnership: Revenue Share and Credit Backstop to Lock Cloud Providers into DSX AI Factories
NVIDIA launches AI Compute Partnership with revenue sharing and credit backstop, shifting from hardware sales to recurring service revenue. Initial projects include 40K GB300 chips for Sharon AI and 170K GPUs for Firmus, totaling 200K+ high-end chips. NVIDIA is becoming the 'central bank' of AI compute, squeezing cloud brokers.
Qualcomm Enters AI Inference with Dragonfly C1000 CPU and HBC Near-Memory Compute
Qualcomm unveils Dragonfly roadmap with Oryon-based C1000 CPU and AI300 inference accelerator featuring HBC near-memory compute. Meta and Microsoft are early adopters. The strategy targets AI inference TCO reduction and memory wall breakthrough, bypassing Nvidia's training dominance.
AWS and Google Open Custom AI Chips for External Sales, ASIC Shipment Growth Surpasses GPU, TCO Inflection Point Reached
In Q2 2026, AWS Trainium and Google TPU are commercialized externally for the first time. Custom ASIC shipment growth of 44.6% surpasses GPU's 16.1%. ASIC TCO advantage reaches 40-65% for large-scale inference; Midjourney cut monthly compute cost from $2.1M to $0.7M after migrating to TPU. This marks a structural inflection point in AI compute.
Google Caps Meta's Gemini Access: AI Compute Bottleneck Reshapes Cloud Ecosystem
Google restricts Meta's access to Gemini API due to compute capacity shortage, delaying Meta's AI projects. This reveals that even with custom TPUs and massive data centers, Google cannot meet surging demand, forcing the industry to reassess AI compute allocation and supply chain resilience.
NVIDIA Space-1 targets orbital AI compute, locking ecosystem with Vera Rubin
NVIDIA hires chief software architect for Space-1, its orbital AI computing system powered by Vera Rubin chips. The system must withstand radiation and temperature extremes. This signals a shift from concept to engineering, though commercial viability remains distant.