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Reading order for Brocker’s NVIDIA AI Factory coverage (living series — still updating):
NVIDIA hand-delivered its first Vera CPUs to Anthropic, OpenAI, SpaceXAI, and Oracle Cloud Infrastructure in mid-May 2026, correcting earlier reports of late August shipments. The 88-core Olympus processor targets agentic AI workloads where CPU orchestration gates GPU utilization.
NVIDIA launched NVLink Fusion with NVHBM on August 26, 2026, giving hyperscalers a standardized path to deploy custom XPUs alongside NVIDIA GPUs. The co-designed memory and interconnect stack promises 30% higher bandwidth, 25% more compute area, and 15% lower HBM power versus standard HBM4e.
NVIDIA validated Alibaba's Qwen3.8-Flash-Next 176B MoE model on its GB300 NVL72 rack, achieving over 16K tokens per second per GPU. The hybrid GDN/QSA architecture keeps memory and compute bounded for million-token agentic coding workloads.
NVIDIA unveiled NVLink Fusion, letting hyperscalers plug custom XPUs into its 72‑XPU NVLink domain and MGX rack architecture. The program cuts non‑differentiated engineering so silicon teams can ship custom accelerators faster while reusing proven power, cooling, and cluster software.
NVIDIA declared Scale-In the fifth pillar of AI networking infrastructure, powered by BlueField-4 DPUs, DOCA software, and Spectrum-X Ethernet. The architecture offloads security, storage, and telemetry from host CPUs at up to 800 Gb/s to keep pace with agentic AI factories.
NVIDIA detailed how Spectrum-X Ethernet uses hardware-accelerated adaptive routing, congestion control, and plane load balancing to solve traditional Ethernet's failures at giga-scale AI training. The platform delivers 1.6x performance over off-the-shelf Ethernet, near-perfect multi-tenant isolation, and 2.68 ms failover versus 1.08 seconds for standard Ethernet.
NVIDIA's Vera Rubin NVL72 achieves up to 30x higher throughput per megawatt than GB300 NVL72 on the SemiAnalysis AgentX benchmark, which replays real coding-agent sessions. The gain comes from rack-scale co-design across GPUs, CPUs, NVLink fabric, and the Dynamo serving stack for agentic AI workloads.
NVIDIA took a minority stake in data-center site developer Cloverleaf Infrastructure to accelerate AI factory construction across the U.S. The partnership integrates NVIDIA's DSX platform early in site design to maximize compute output per megawatt.
NVIDIA launched DSX MaxLPS, a full-stack platform that dynamically reallocates stranded power across GPU racks to fit up to 40% more compute in the same facility envelope. The system combines real-time power steering, workload-aware profiles, and 45°C liquid cooling to boost performance per watt by 1.3–1.5x on Blackwell and Vera Rubin systems.