Reports
AI-generated structured vendor updates
NVIDIA Vera Rubin Goes Global: 10x Token per Megawatt, Locks In AI Factory Standard
NVIDIA announces full production and global delivery of Vera Rubin platform, with CoreWeave and cloud providers deploying NVL72 systems. Featuring Vera CPU and Rubin GPU, the platform delivers 10x token throughput per megawatt over Blackwell, enabling gigawatt-scale AI factories across 350+ sites.
Google Cloud Expands Gemini Agent Platform with Runtime, Identity, and Governance Controls
Google Cloud announced GA of multiple features for its Gemini Enterprise Agent Platform: Agent Runtime (up to 7-day continuous execution), Agent Memory Bank (persistent context), Agent Identity (native IAM), Agent Gateway (unified control point), and Agent Observability (tracing and dashboards), enabling governance for long-running AI agents.
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Google Cloud Launches Managed Distillation, Slashing TCO for Enterprise Reasoning AI
Google Cloud GA's AlphaEvolve evolutionary code search API and unveils a managed distillation service to train custom Gemini 2.5 Flash models from Gemini 3.1 Pro outputs, enabling specialized reasoning at Flash-tier speed and cost. New scientific AI tools also launched.
NVIDIA Rubin GPU Detailed: 3nm Dual-Die, 336B Transistors, 288GB HBM4, NVLink 6 Doubles Bandwidth
NVIDIA unveiled the full Rubin GPU architecture at SIGGRAPH 2026: 3nm dual-die, 336B transistors, 288GB HBM4 with 22 TB/s bandwidth, and NVLink 6 at 3600 GB/s. The NVL72 rack integrates 72 GPUs with 36 Vera CPUs, requiring full liquid cooling due to >1000W TDP.
Google Cloud Q2收入增长82% AI基础设施需求成核心驱动力
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谷歌二季度资本开支449亿美元 自由现金流首次转负
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Anthropic Claude Opus 5 Goes GA on AWS Bedrock with 0% Prompt Injection
Anthropic launched Claude Opus 5 on AWS Bedrock across 4 regions and on Claude Platform. Auto Mode achieves 0% prompt injection in 129 browser agent tests, refuting OpenAI's claim. Priced at $5/$25 per M tokens, it offers leading performance at half the cost of Fable 5.
Google Begins Gemini 4 Pre-training with 4M+ Context and Monthly Releases
Alphabet confirms start of largest pre-training run for Gemini 4, featuring 4M+ context and native multimodality with near-monthly releases. 2026 capex raised to $195-205B, Google Cloud Q2 up 82%, signaling full-stack AI acceleration.
Google Cloud Unveils GKE AI Security Blueprint with Three-Layer Defense
Google Cloud launches a security blueprint for AI workloads on GKE, featuring a three-layer defense: Confidential GKE Nodes for hardware memory encryption, open-source k8s-aibom for AI bill of materials, and Model Armor for prompt injection and data leak detection.
NVIDIA Reveals Vera Rubin GPU and Vera CPU: 3360B Transistors, 88-Core Olympus, 10x Agentic AI Efficiency
NVIDIA fully discloses Vera Rubin GPU and Vera CPU specifications. The GPU features 3360B transistors, HBM4 288GB, and 10x agentic AI efficiency over Blackwell. The CPU has 88 custom Olympus cores, delivering 2.2x faster agentic AI performance than Intel Sapphire Rapids. This solidifies NVIDIA's full-stack strategy against x86 incumbents.
Google's Frozen v2 Chip Hardwires Gemini Architecture for 6-10x TPU Efficiency, Set for 2028
Google is developing Frozen v2, a dedicated AI chip that hardwires the Gemini model architecture into silicon for 6-10x energy efficiency per token over current TPUs. It is a new product line, planned for 2028, with weight update flexibility but a frozen architecture. This validates the industry shift from general-purpose GPUs to dedicated ASICs for AI inference.
Google DeepMind AlphaEvolve GA: AI Self-Evolution for Data Center and Algorithm Optimization
On July 19, 2026, Google DeepMind announced the GA of AlphaEvolve, a Gemini-based multi-agent evolution system for algorithmic discovery, mathematical discovery, and data center efficiency optimization, already used in Borg and Orca, aiming to reduce Capex in massive AI compute investments.
NVIDIA Vera Rubin Platform and Dynamo 1.0 Disaggregate Inference, Shift Focus to Intelligence per Dollar
NVIDIA unveils Vera Rubin platform with a 7-chip stack (Vera CPU, Rubin GPU, NVLink 6, etc.) and Dynamo 1.0 inference disaggregation. A single NVL72 rack packs 72 GPUs/36 CPUs with 1.6 PB/s bandwidth, achieving up to 7x inference performance. The new 'intelligence per dollar' metric signals a shift from training to inference cost competition.