[GH-ISSUE #1326] Proposal #7: System‑wide optimization for the existing framework #871

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opened 2026-10-26 21:31:27 +00:00 by bsakaguchi · 3 comments

bsakaguchi commented

2026-10-26 21:31:27 +00:00

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Originally created by @Pavel1Shkirta on GitHub (May 17, 2026).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-V3/issues/1326

DeepSeek team,

Pavel Shkirta here — author of the 6‑solution proposal you reviewed earlier.

This is Proposal #7 — a coordination module that unifies the six solutions into a single optimized system.

Details available upon request.

Pavel Shkirta

Originally created by @Pavel1Shkirta on GitHub (May 17, 2026). Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-V3/issues/1326 DeepSeek team, Pavel Shkirta here — author of the 6‑solution proposal you reviewed earlier. This is Proposal #7 — a coordination module that unifies the six solutions into a single optimized system. Details available upon request. Pavel Shkirta

bsakaguchi

2026-10-26 21:31:27 +00:00

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bsakaguchi commented

2026-10-26 21:31:28 +00:00

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@qingkong66 commented on GitHub (May 17, 2026):

@Pavel1Shkirta

I see you've been consistently offering proposals. A few observations that might help orient your efforts.

DeepSeek's current focus appears to be:

Architectural efficiency — sparse attention, KV cache optimization, inference cost reduction (V4 dropped compute to ~27% of V3.2)
Open source ecosystem — releasing models publicly, not custom commercial solutions
Domestic hardware adaptation —昇腾 / 寒武纪 day-0 compatibility

Your proposals (multi-chip sync, thermal management, etc.) are engineering problems worth solving. But they read as system-level optimizations for specific deployments, not core research directions that DeepSeek has signaled interest in.

If you have materials aligned with their published directions — e.g., sparse attention improvements, inference efficiency breakthroughs, or novel architecture ideas — those might find a better fit.

Just a gentle nudge, not a judgment. Your persistence is noted.

@qingkong66 commented on GitHub (May 17, 2026): @Pavel1Shkirta I see you've been consistently offering proposals. A few observations that might help orient your efforts. DeepSeek's current focus appears to be: - **Architectural efficiency** — sparse attention, KV cache optimization, inference cost reduction (V4 dropped compute to ~27% of V3.2) - **Open source ecosystem** — releasing models publicly, not custom commercial solutions - **Domestic hardware adaptation** —昇腾 / 寒武纪 day-0 compatibility Your proposals (multi-chip sync, thermal management, etc.) are engineering problems worth solving. But they read as **system-level optimizations for specific deployments**, not core research directions that DeepSeek has signaled interest in. If you have materials aligned with their published directions — e.g., sparse attention improvements, inference efficiency breakthroughs, or novel architecture ideas — those might find a better fit. Just a gentle nudge, not a judgment. Your persistence is noted.

bsakaguchi commented

2026-10-26 21:31:29 +00:00

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@github-actions[bot] commented on GitHub (Jun 23, 2026):

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If you believe this issue is still relevant, please leave a comment to keep it open. Thank you for your contributions!

@github-actions[bot] commented on GitHub (Jun 23, 2026): This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If you believe this issue is still relevant, please leave a comment to keep it open. Thank you for your contributions!

bsakaguchi commented

2026-10-26 21:31:29 +00:00

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@github-actions[bot] commented on GitHub (Jul 9, 2026):

false

@github-actions[bot] commented on GitHub (Jul 9, 2026): false