The Serving Stack
Start hereCollectionsNewsletter
Sign in

tensor-cores

1 post

NUMBER FORMATS · 032,048WHERE THE SUM STOPSFP16 SUM OF 1.0, ADDED AGAIN AND AGAIN
formatstf32tensor-cores

TF32 and Accumulation: What Tensor Cores Really Compute In

Inputs, products, and accumulators: the precision a matrix multiplication really uses, and why FP32 accumulation still matters.

by The Serving Stack

Inference Notes

Once a week: what changed in serving AI models, and what it means if you build, run or pay for them, in about five minutes.

The Serving Stack

Inference Engineering, In Depth

Navigate

HomeStart hereCollectionsNewsletterAll articles

Collections

Inference EnginesHow an LLM Request Becomes TokensLLMs, ExplainedThe GPU for Inference EngineersQuantization in PracticeServing in Production

Links

RSS Feed

Legal

Privacy PolicyTerms of ServiceCookie Policy
© 2026 The Serving Stack. All rights reserved.