@rohanpaul_ai
Nvidia shares rose 2.2% immediately after news came that US now allows H200 GPU export to China. This is indeed a MASSIVE news. https://t.co/pDDBaVqb50
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"text": "BREAKING: US 🇺🇸 TO ALLOW NVIDIA H200 CHIP EXPORTS TO CHINA 🇨🇳\n\nThis is a compromise that allows high-end GPUs roughly 18 months behind the most frontier while keeping tighter parts off the table.\n\nThe goal is to reopen a blocked market after China told buyers to avoid the weaker H20, which left US vendors sidelined and created space for Huawei’s homegrown accelerators.\n\nThe H200 carries larger HBM3e and higher memory bandwidth than H100, so Chinese labs can train and serve bigger models with fewer nodes, simpler parallelism, and faster checkpointing.\n\nLicenses will likely define volumes, buyers, and telemetry, so Washington keeps leverage while US products set de facto software and networking standards.\n\nSupporters of strict controls point to compute scarcity, arguing that denying top chips slowed China and helped the US assemble the first mega-clusters.\n\nSkeptics say blanket bans pushed China to accelerate domestic silicon and that controlled access with clear guardrails can shape the market without ceding standards.\n\nIf shipments proceed, expect premium pricing that bakes in compliance costs and quota risk, plus priority allocations to hyperscalers and state-linked clouds.\n\nUS supply remains tight because HBM stacks and advanced packaging are bottlenecks, so any licenses will still feel scarce on the ground.\n\n---\n\nTechnical details on how H200 is ~18months behind the most frontier GPUs from Nvidia\n\nH200 is Hopper-generation where as Blackwell B200/GB200 are a full new generation, so H200 trails on compute formats, memory bandwidth, and interconnect scale.\n\nH200 provides 141GB HBM3e, 4.8TB/s memory bandwidth, and 4 PFLOPS FP8 per GPU.\n\nB200 lifts a single GPU to 180GB HBM3e with 8TB/s memory bandwidth and roughly 4.5 PFLOPS FP8 or 9 PFLOPS with sparsity, so per-GPU memory and feed rate are both higher than H200.\n\nInterconnect is a bigger gap, Hopper/H200 uses NVLink Gen4 900GB/s per GPU, while Blackwell uses NVLink Gen5 1.8TB/s, which doubles GPU-to-GPU bandwidth and reduces parallel efficiency loss on big models.\n\nBlackwell adds a second-generation Transformer Engine with FP4/FP6 support and micro-tensor scaling, so it pushes more tokens at lower precision without giving up accuracy, H200 only has first-gen FP8.\n\nBlackwell also uses 2 reticle-limited dies fused by a 10TB/s on-package link, giving much higher on-chip bandwidth than Hopper’s monolithic H200.\n\nAt the box level, DGX B200 with 8 B200s exposes 1.4TB GPU memory, 64TB/s HBM3e bandwidth, and 14.4TB/s NVLink via 2 NVSwitch ASICs, which is a step above Hopper-class nodes.\n\nAt rack scale, GB200 NVL72 bonds 72 Blackwell GPUs into one NVLink domain with ~130TB/s of low-latency GPU fabric, something H200 systems cannot match.\n\nNet, H200 sits roughly 1 generation back, with smaller per-GPU memory, ~2x lower NVLink bandwidth, and older tensor math, so it trains and serves large models less efficiently than B200/GB200 at the same cluster size.",
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