[PR #11863] perf: build graph for next batch async to keep GPU busy #13638

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GiteaMirror · 2026-04-13T00:31:44-05:00

GiteaMirror commented

2026-04-13 00:31:44 -05:00

Original Pull Request: https://github.com/ollama/ollama/pull/11863

State: closed
Merged: Yes

This refactors the main run loop of the ollama runner to perform the main GPU intensive tasks (Compute+Floats) in a go routine so we can prepare the next batch in parallel to reduce the amount of time the GPU stalls waiting for the
next batch of work.

On metal, I see a 2-3% speedup in token rate. On a single RTX 4090 I see a ~7% speedup.

**Original Pull Request:** https://github.com/ollama/ollama/pull/11863 **State:** closed **Merged:** Yes --- This refactors the main run loop of the ollama runner to perform the main GPU intensive tasks (Compute+Floats) in a go routine so we can prepare the next batch in parallel to reduce the amount of time the GPU stalls waiting for the next batch of work. On metal, I see a 2-3% speedup in token rate. On a single RTX 4090 I see a ~7% speedup.

GiteaMirror added the pull-request label 2026-04-13 00:31:45 -05:00

GiteaMirror closed this issue

2026-04-13 00:31:45 -05:00

GiteaMirror referenced this issue

2026-04-22 18:33:26 -05:00

[GH-ISSUE #13638] Logprobs not returned from Ollama Cloud API (ollama.com) #34731

GiteaMirror referenced this issue

2026-04-29 09:17:18 -05:00

[GH-ISSUE #13638] Logprobs not returned from Ollama Cloud API (ollama.com) #55484

GiteaMirror referenced this issue

2026-05-04 23:48:59 -05:00

[GH-ISSUE #13638] Logprobs not returned from Ollama Cloud API (ollama.com) #71030

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Reference: github-starred/ollama#13638