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Tarides 227 Anil Madhavapeddy's Blog 220 Watch OCaml 204 Caml Weekly News 188 OCamlPro 170 Marc Elvers 147 Jane Street Tech Blog 124 MirageOS 79 Coq 78 Frama-C 76 Robur Cooperative 70 Caml INRIA 53 Jon Ludlam's Blog at recoil.org 53 Daniel Bünzli 42 David Allsopp's Blog 31

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opam 281 compiler 200 mirageos 195 dune 185 functional programming 162 ppx 132 unikernel 132 async 125 multicore 123 functor 115 eio 114 parser 114 odoc 112 domain 104 effect 103 merlin 103 lwt 102 monad 99 js_of_ocaml 89 concurrency 88 bfloat16 0

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Anil Madhavapeddy 234 Tarides 226 Unknown 213 Caml Weekly News 181 Mark Elvers 147 Jane Street Tech Blog 112 Coq 78 Frama-C 74 Jane Street 70 Robur Cooperative 70 Jon Ludlam 54 Caml INRIA 53 Daniel Bünzli 42 Bozhidar Batsov 28 Mathématiques et informatique - Collège de France 28

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Filtering by: Source: Marc Elvers (remove) Keyword: bfloat16 (remove) Clear all
Can a CPU with Intel AMX Match a GPU for ML Inference?

GPU acceleration is the default assumption for machine learning inference. But Intel’s AMX (Advanced Matrix Extensions) may close the gap. AMX is built into recent Xeon processors, which are available from Azure. Can they compete with similarly priced GPU-based machines for the Tessera pipeline?

amx batch bfloat16 cpu float32 gpu onnx pixel tile torch

08 Apr 2026

Marc Elvers

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