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2606.003 Silicon
H100 vs H200 vs B200: TCO for Inference Infrastructure
Beyond the spec sheet: deriving actual cost per million tokens for each generation, accounting for memory capacity, bandwidth, rack power, and cooling — the numbers that determine your infrastructure decision.
⚙⚙⚙⚙⚙ 2026.06.22
2606.002 System
Intra-node vs Inter-node Interconnects in Distributed Training
NVLink, NVSwitch, InfiniBand, and RoCE — the bandwidth and latency numbers that determine whether your distributed training job scales or stalls.
⚙⚙⚙⚙⚙ 2026.06.20
2606.001 Silicon
GPU Memory Hierarchy and Kernel Performance
Why memory bandwidth — not FLOPs — is the binding constraint for most LLM workloads, and how H100's five-level hierarchy determines what your kernels can actually achieve.
⚙⚙⚙⚙⚙ 2026.06.18