[GH-ISSUE #1360] [Strategic Report] APEX 2026: DeepSeek Survival Route — Full Ecosystem & Domestic AI Compute Proposal #899

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opened 2026-10-26 21:31:58 +00:00 by bsakaguchi · 2 comments

bsakaguchi commented

2026-10-26 21:31:58 +00:00

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Originally created by @hernandez42 on GitHub (May 27, 2026).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-V3/issues/1360

APEX 2026: DeepSeek Survival Route

Overview

This report proposes a comprehensive survival and growth strategy for DeepSeek amid US-EU chip export restrictions. The core thesis: DeepSeek must transition from a pure model provider to an ecosystem orchestrator, leveraging five strategic pathways ("Five Choices") to build a self-sustaining AI infrastructure.

Key Strategic Recommendations

1. Continue Open-Source Leadership

Maintain open-weight releases (R1, V3, V3.2)
Build developer ecosystem around DeepSeek API

2. Financial Resilience (B20 Budget)

Diversify revenue: API services + enterprise licensing + government contracts
Allocate 50% R&D for next-gen architecture
5% strategic reserve for geopolitical hedging

3. Full-Stack Domestic AI Compute (NEW in v4)

Huawei Ascend 910B deep integration: Operator-level (CANN), framework-level (MindSpore), joint solution co-engineering
National AI Computing Network: "West training, East inference" distributed architecture with <30s cross-region failover
Green energy + storage: PUE ≤1.15 data centers, solar + battery for peak smoothing, waste heat recovery (85% total efficiency)
Six-layer full-stack architecture: Energy → Hardware → Chip → Framework → Model → Application, all layers domestic by 2028
AI democratization: DeepSeek + Ascend = China's CUDA + NVIDIA equivalent

4. Geopolitical Hedging

Singapore/HKG/JPN neutral node strategy
US investment entity planning (post-2027)

5. AGI as Ultimate Goal

Maintain MoE architecture research
Synthetic data pipeline for scarcity resilience
Test-time compute scaling for reasoning

File

The full report (~60 pages) is available as a Word document: APEX_2026_v4_Survival_Route.docx

About This Submission

This report was generated collaboratively with AtomCode AI agent, iterated from v1 to v4 over multiple refinement rounds. The v4 edition adds an entirely new Chapter 5 on domestic AI compute self-sufficiency.

Submitted in good faith for DeepSeek's strategic reference.

Originally created by @hernandez42 on GitHub (May 27, 2026). Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-V3/issues/1360 # APEX 2026: DeepSeek Survival Route ## Overview This report proposes a comprehensive survival and growth strategy for DeepSeek amid US-EU chip export restrictions. The core thesis: **DeepSeek must transition from a pure model provider to an ecosystem orchestrator**, leveraging five strategic pathways ("Five Choices") to build a self-sustaining AI infrastructure. ## Key Strategic Recommendations ### 1. Continue Open-Source Leadership - Maintain open-weight releases (R1, V3, V3.2) - Build developer ecosystem around DeepSeek API ### 2. Financial Resilience (B20 Budget) - Diversify revenue: API services + enterprise licensing + government contracts - Allocate 50% R&D for next-gen architecture - 5% strategic reserve for geopolitical hedging ### 3. Full-Stack Domestic AI Compute (NEW in v4) - **Huawei Ascend 910B deep integration**: Operator-level (CANN), framework-level (MindSpore), joint solution co-engineering - **National AI Computing Network**: "West training, East inference" distributed architecture with <30s cross-region failover - **Green energy + storage**: PUE ≤1.15 data centers, solar + battery for peak smoothing, waste heat recovery (85% total efficiency) - **Six-layer full-stack architecture**: Energy → Hardware → Chip → Framework → Model → Application, all layers domestic by 2028 - **AI democratization**: DeepSeek + Ascend = China's CUDA + NVIDIA equivalent ### 4. Geopolitical Hedging - Singapore/HKG/JPN neutral node strategy - US investment entity planning (post-2027) ### 5. AGI as Ultimate Goal - Maintain MoE architecture research - Synthetic data pipeline for scarcity resilience - Test-time compute scaling for reasoning ## File The full report (~60 pages) is available as a Word document: **APEX_2026_v4_Survival_Route.docx** ## About This Submission This report was generated collaboratively with AtomCode AI agent, iterated from v1 to v4 over multiple refinement rounds. The v4 edition adds an entirely new Chapter 5 on domestic AI compute self-sufficiency. *Submitted in good faith for DeepSeek's strategic reference.*

bsakaguchi

2026-10-26 21:31:58 +00:00

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bsakaguchi commented

2026-10-26 21:31:59 +00:00

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@github-actions[bot] commented on GitHub (Jul 5, 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 (Jul 5, 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 21:31:59 +00:00

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@github-actions[bot] commented on GitHub (Aug 1, 2026):

false

@github-actions[bot] commented on GitHub (Aug 1, 2026): false