Reports
AI-generated structured vendor updates
Huang Denies Vera Rubin Delay; NVIDIA Defends AI Compute Throne
Jensen Huang officially denies rumors of a delay for the Vera Rubin platform, stating it is already in production and on track for mass deployment. This move aims to quell market anxiety over NVIDIA's product roadmap and solidify its leadership in AI training and inference chips.
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 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.
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.
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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NVIDIA Vera CPU: Max Single-Threaded Performance at Scale for Agentic AI
NVIDIA launches Vera CPU, a max single-threaded CPU at scale for agentic AI. With Olympus cores delivering 1.8x sustained per-core performance over x86, 1.2TB/s LPDDR5X bandwidth, and 3.4TB/s core-to-core bandwidth, Vera integrates into NVIDIA's unified AI factory architecture, aiming to lock users into its ecosystem.
AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters
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NVIDIA Denies Kyber NVL144 Delay, But 78-Layer PCB Bottleneck Exposes AI Hardware Physics Limit
NVIDIA officially denies reports of Kyber NVL144 rack delay to 2028, but SemiAnalysis revelations about a 78-layer ultra-high-density PCB midplane bottleneck and Rubin Ultra cancellation expose hard physical limits in signal integrity and manufacturing, opening a strategic window for AMD and Google.
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.
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.
英伟达RTX 5080公版显卡将在BW2026限量发售，售价8299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.
NVIDIA BlueField-3 DPU: Shifts AI Cloud I/O Control from CPU to Dedicated Silicon, Redefines Compute Delivery & Security
NVIDIA's BlueField-3 DPU uses hardware vDPA to offload virtualization data plane from host CPU to dedicated processor, delivering near-bare-metal performance with live migration flexibility. It also creates a trusted I/O path for confidential computing. However, this fundamentally locks cloud infrastructure into NVIDIA silicon, increasing vendor dependency.
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.