Reports
AI-generated structured vendor updates
AMD与OpenAI达成6GW算力供应历史性协议 1.6亿认股权证可获10%股权 股价盘前涨35%
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NVIDIA Debuts T3000/T2000 Modules and Cosmos 3 Edge, Builds Sovereign AI Ecosystem in Japan
NVIDIA unveils T3000/T2000 compute modules (Thor architecture) and Cosmos 3 Edge world model, signs Japan Noetra alliance for 13,750 Vera CPUs + 27,500 Rubin GPUs (140MW). Sovereign AI revenue triples to $30B+ in FY2026, accelerating the physical AI ecosystem.
NVIDIA-Nokia Alliance Redefines RAN Ecosystem with GPU-Based AI Acceleration
NVIDIA and Nokia are jointly developing AI-powered RAN technology, using NVIDIA GPUs to accelerate baseband processing and AI algorithms for beamforming and spectrum optimization. Targeting commercial deployment by 2027 and 2x spectral efficiency by 2028, this partnership marks a fundamental shift from dedicated RAN hardware to GPU-based, software-defined AI networks.
测试情报-NVIDIA AI chip news
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NVIDIA Jetson Thor T3000/T2000: Blackwell GPU Crashes Edge AI Cost Barrier
NVIDIA unveils Jetson Thor T3000 and T2000 modules. The T3000 packs a Blackwell GPU and 8-core Neoverse CPU, delivering 865 FP4 TFLOPS at half the power of the T5000. New Jetson Agent Skills automate memory optimization, aiming to scale deployment of humanoid robots and edge AI.
NVIDIA CUDA 13.3 Introduces clmad for Hardware-Accelerated Carryless Multiplication on GPUs
NVIDIA CUDA 13.3 adds the clmad hardware instruction for carryless multiply-accumulate on Ampere+ GPUs. GHASH throughput reaches 6.3 TB/s on B200, up to 18.8x faster than bitsliced. Sum-check protocol accelerates 3-13x. The instruction also benefits CRC, Reed-Solomon, and post-quantum cryptography.
Intel 18A Yield Hits 85%, Secures Orders from NVIDIA, OpenAI, Reshaping Foundry Landscape
Intel reports 18A process yield improvement to 85%, from 65% last quarter, nearing TSMC N2's 90%. Secured foundry deals with NVIDIA, AMD, OpenAI, etc. EMIB advanced packaging yield reaches 98%, used in NVIDIA Feynman, Google TPU. This marks a strategic inflection in AI chip manufacturing.
NVIDIA and Nokia Launch Commercial AI-RAN: GPU-Defined RAN Replaces Purpose-Built Hardware
NVIDIA and Nokia announce the first commercial AI-RAN platform, built on Nokia's anyRAN software and NVIDIA's Aerial AI-RAN stack. It achieves over 20% spectrum efficiency gain via AI-driven radio innovations, targeting 100%+ by 2028. The platform aims to shift RAN from purpose-built hardware to a software-defined, GPU-based compute model.
New York Enacts First Statewide AI Data Center Moratorium, Signaling Regulatory Paradigm Shift
New York State has signed an executive order imposing a one-year moratorium on AI hyperscale data centers over 50MW, effective immediately. This first statewide ban in the U.S., with 11+ states considering similar laws, signals a regulatory paradigm shift from 'build fast' to 'build steady' in AI infrastructure.
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.
AMD Confirms Zen 6 EPYC Venice: First 2nm Server CPU Launching July 2026
AMD confirms Zen 6 EPYC Venice launch at Advancing AI 2026 (July 22-23). As the first 2nm server CPU, it features triple-core hybrid architecture, up to 192 cores, ~29% single-thread and ~22% multi-thread gains, targeting AI inference and tight CPU-GPU synergy via Infinity Fabric.
NVIDIA Halves Asian AI Chip Customers, Whitelist Regime Reshapes Supply Chain
NVIDIA slashes its authorized AI chip customer list in Asia by more than half, establishing a whitelist regime in Singapore, Malaysia, and Japan. Customers must submit detailed business proofs and end-use declarations. This move, aimed at preventing illegal diversions to China, will reshape the global AI chip supply chain and force enterprises to reassess procurement strategies.
NVIDIA's HVDC Power Shift Reshapes AI Data Center Energy Efficiency and Supply Chain
NVIDIA is driving a shift from AC to HVDC power systems for AI data centers, aiming to reduce conversion losses and improve efficiency. This move will reshape the entire supply chain for servers, power equipment, and cooling, but faces challenges in safety and standardization. It signals a generational change in AI infrastructure power delivery.
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.
TSMC CoWoS Capacity to Reach 200k Wafers by 2027, Diversifying from GPU to CPU and ASIC
TSMC targets 200k wpm CoWoS capacity by 2027, narrowing supply-demand gap from 20% to 10%. Customer base diversifies from NVIDIA GPU to include AI server CPUs (MediaTek, AMD) and ASICs (Broadcom). CoPoS panel-level packaging enters pilot production in 2027.
TSMC Hikes Sub-7nm Prices 8-12%, Extends Lead Times to 26 Weeks, Triggering AI Chip Cost Inflation
TSMC raises sub-7nm wafer prices by 8-12% and extends lead times to 26 weeks, effective July 2026. New v2.1 directive mandates EDA tool validation for PDK access. This directly inflates AI chip TCO, delays new product launches, and solidifies TSMC's control over the AI supply chain.
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.
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.
PrismML's 1-bit Compression: 27B Qwen Model Runs Fully on iPhone 17 Pro in 4GB
PrismML compressed a 27B-parameter dense LLM (Qwen 3.6) to 4GB, running fully on iPhone 17 Pro. Using native 1-bit quantization (weights as {-1, +1}), it achieves >92% compression, 8x faster inference, and 75-80% energy reduction. This challenges Apple's sparse architecture, potentially shifting edge AI from cloud-reliant to device-native.