Tag: #accelerator
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 3 posts
Systolic Arrays and Dataflow Architecture — The Heart of the TPU
A deep dive into the systolic array, the structure that lets AI accelerators run matrix multiplication efficiently, complete with ASCII diagrams. We walk through dataflow strategies like weight-stationary and output-stat
2026-06-16 · 20 min read #gpu-cuda#systolic-array#dataflow#tpu#ai-hardwareThe 2026 AI Accelerator Landscape — From Blackwell to Vera Rubin
A developer-oriented map of the 2026 AI accelerator market. We cover NVIDIA Blackwell and the next-generation Vera Rubin, AMD MI350X, the moment inference capex first overtook training, and how to choose a chip per workl
2026-06-16 · 21 min read #ai-hardware#nvidia-blackwell#vera-rubin#inference#gpuAI Hardware Accelerators 2026 — NVIDIA Blackwell / AMD Instinct MI400 / Google TPU Trillium / Cerebras WSE-3 / Groq LPU / Tenstorrent / Etched Sohu / Furiosa / Rebellions Deep Dive
In 2026 AI hardware is no longer an NVIDIA-only story. Blackwell (B100/B200/GB200 NVL72/B300) landed at GTC 2024, Rubin is queued for September 2026, AMD Instinct has marched from MI300X through MI355X to MI400 Helios, I
2026-05-16 · 20 min read #ai-hardware#gpu#accelerator#nvidia-blackwell#b100