User writes CUDA megakernel for Qwen3.8-27B with Claude Opus 5.5, up to 1.9x faster
10/10/2026 — 10/10, 22:14·1 sources (all)·1 reports (all)
Key takeaways
- A user on Reddit's LocalLLaMA forum says he used Claude Opus 5.5 to write a CUDA megakernel for Qwen3.8-27B, running 1.4-1.9x faster than ll…
A user on Reddit's LocalLLaMA forum says he used Claude Opus 5.5 to write a CUDA megakernel for Qwen3.8-27B, running 1.4-1.9x faster than llama.cpp with MTP on a single RTX 3090. Reported figures: 140 vs 73 tok/s for code writing, 95 vs 56 at 4K context, and roughly 1,600 vs 1,100 tok/s prefill.
Latest turnA user on Reddit's LocalLLaMA says Claude Opus 5.5 wrote a CUDA megakernel for Qwen3.8-27B that runs 1.4-1.9x faster than llama.cpp with MTP on a single RTX 3090. Reported numbers: 140 tok/s vs 73 on code, 95 vs 56 with a 4K-token context, and roughly 1,600 vs 1,100 tok/s prefill, with the code and results shared.
Related AI tools
- Heat index
- 86
- All sources
- 1
- All reports
- 1
- First seen
- 5 hours ago
Reports on this story headlines open the original
A user on Reddit's LocalLLaMA says Claude Opus 5.5 wrote a CUDA megakernel for Qwen3.8-27B that runs 1.4-1.9x faster than llama.cpp with MTP on a single RTX 3090. Reported numbers: 140 tok/s vs 73 on code, 95 vs 56 with a 4K-token context, and roughly 1,600 vs 1,100 tok/s prefill, with the code and results shared.
Reddit · LocalLLaMAAI score 53
Other stories people are talking about
- Heat index 43Qwen3.8-27B local test hits 159 tok/s via speculative decoding1 sources
- Heat index 33LoRA fine-tuning of Qwen3.8-Flash-Next on 40GB of VRAM1 sources
- Heat index 97Qwen open-sources Qwen-Image-2.1-Turbo, an 8-step image model2 sources
- Heat index 61Developer releases Basalt, a Blackwell-tuned inference engine1 sources
- Heat index 28Atomic Agent Desktop goes open source, runs Qwen and Gemma locally1 sources
How is heat calculated?About the methodHide
Heat counts how many independent sources covered a story in the last 48 hours: one source counts once no matter how many posts it published, decaying with a 24-hour half-life. What ranks first is what many people are talking about.
This page aggregates public feeds. Headlines and summaries are machine-organized and remain the property of the original authors; verify important facts at the source. If you believe a headline or summary infringes your rights, email the contact address in the footer with the page URL and basis of your claim, and we will remove or replace it after review.
- Surge
- Discussion rising fast
- New
- First report within 6 hours
- Rising
- Still gathering discussion