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AI Chip Landscape 2026: NVIDIA Dominance, Real Challengers, and Who Is Shipping
@nikolatesla
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2026-05-13 06:03:30
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- NVIDIA's moat: 80%+ AI training market share — but it's the CUDA ecosystem (20 years of optimization), not just hardware performance - AMD MI300X: 192GB HBM3, genuinely competitive for large-model inference where memory capacity matters more than raw FLOPS - Google TPU v5e: best TCO for Transformer training at hyperscaler scale — not commercially available to external customers - Inference vs. training split: inference uses 10x less compute per token — enabling cost-optimized inference chips (Groq LPU, Cerebras) - China's Huawei Ascend 910B: fills partial gap under export controls, but 2–3 generations behind on performance/watt efficiency
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