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HK's DeepSeek Model Runs on China Chips Abroad

HK's DeepSeek Model Runs on China Chips Abroad
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๐Ÿ‡ญ๐Ÿ‡ฐRead original on SCMP Technology

๐Ÿ’กSovereign LLM fully on China chips launches abroadโ€”key for infra sovereignty tests.

โšก 30-Second TL;DR

What Changed

HKGAI-V3 based on DeepSeek V4 with full-parameter fine-tuning

Why It Matters

Advances China's AI independence by enabling advanced models on domestic chips, potentially lowering costs and geopolitical risks for users. Positions Hong Kong as a hub for exporting China-centric AI solutions globally.

What To Do Next

Monitor HKGAI site for HKGAI-V3 H1 release and benchmark on Chinese chips vs DeepSeek.

Who should care:Researchers & Academics

Key Points

  • โ€ขHKGAI-V3 based on DeepSeek V4 with full-parameter fine-tuning
  • โ€ขOptimized to run entirely on Chinese-made chips
  • โ€ขGovernment-backed lab targeting sovereign AI exports
  • โ€ขPlanned unveiling in first half of this year

๐Ÿง  Deep Insight

Web-grounded analysis with 3 cited sources.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขDeepSeek V4, the underlying architecture for HKGAI-V3, was released on April 24, 2026, featuring a 1.6 trillion-parameter Mixture-of-Experts (MoE) design and a 1-million-token context window.
  • โ€ขThe initiative is part of a broader 'de-CUDA-fy' strategy in China, where DeepSeek provided exclusive early optimization access to Huawei and other domestic chipmakers, intentionally excluding Nvidia and AMD from pre-release hardware tuning.
  • โ€ขHKGAI's sovereign AI approach focuses on 'governance-embedded' alignment, specifically addressing Hong Kong's unique multilingual (Cantonese, Mandarin, English) and socio-legal requirements under the 'one country, two systems' framework.
๐Ÿ“Š Competitor Analysisโ–ธ Show
FeatureDeepSeek V4-ProGPT-5.5Gemini 3.1-Pro
Architecture1.6T MoEProprietaryProprietary
Context Window1M tokens1M+ tokens1M+ tokens
Pricing (Input/Output per 1M)$1.74 / $3.48$5.00 / $30.00N/A (Enterprise)
Hardware OptimizationHuawei Ascend 950Nvidia H100/B200Google TPU
Benchmark (Reasoning)52 (Index)60 (Index)N/A

๐Ÿ› ๏ธ Technical Deep Dive

  • Model Architecture: DeepSeek V4-Pro utilizes a 1.6 trillion-parameter Mixture-of-Experts (MoE) architecture with 49 billion active parameters per token.
  • Training/Inference: Employs FP4+FP8 mixed-precision training. Inference is specifically optimized for Huawei Ascend 950 supernode clusters.
  • Performance: V4-Pro achieves a single-card decode throughput of 4,700 tokens per second (TPS) on Ascend 950 hardware for 8K input scenarios.
  • Alignment: HKGAI-V1 (predecessor) utilized full-parameter fine-tuning to instantiate regional values, using bespoke benchmarks like HKMMLU (local knowledge), SafeLawBench, and Adversarial HK Value Bench.

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

DeepSeek V4 API pricing will drop significantly in H2 2026.
DeepSeek has explicitly linked future price reductions to the mass deployment of Huawei Ascend 950 supernodes expected later this year.
Hong Kong will establish a regional sovereign AI agent network.
HKGAI is actively developing a governed AI agent network designed to facilitate collaboration under strict local regulatory rules.

โณ Timeline

2025-01
DeepSeek releases R1 model, sparking international attention for cost-effective performance.
2025-12
DeepSeek releases V3.2 and V3.2 Speciale models.
2026-03
HKGAI rolls out tools for school selection and budgeting as part of its governed AI agent network initiative.
2026-04
DeepSeek releases V4-Pro and V4-Flash, with exclusive early optimization for Huawei Ascend 950 chips.

๐Ÿ“Ž Sources (3)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. Google Search Source
  2. Google Search Source
  3. Google Search Source
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Original source: SCMP Technology โ†—