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OpenAI's Jalapeno chip, DeepSeek's V4.1-Flash model, and AI solving Navier-Stokes problem define the week
Singapore·7 Sept – 13 Sept·Ten minutes
This week's key AI developments include OpenAI unveiling its custom AI inference chip, Jalapeno, designed to speed up ChatGPT and API responses. DeepSeek also released its V4.1-Flash model, a 5520B-parameter model that cuts memory needs to a quarter of its predecessor. OpenAI's internal models further demonstrated AI's potential by solving the Navier-Stokes equation, a long-standing mathematical challenge, using 10,000 agents over 88 hours.
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Five things this week
Enough to retell1
OpenAI reveals AI inference chip Jalapeno architecture
For users of ChatGPT and other large language models, this could mean faster response times and better performance from the new chip.
宝玉
2
Deepseek releases V4.1-Flash model
This matters because it offers a cheaper alternative for building AI agents, with a quarter of the memory needs of its predecessor.
Decoder
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DeepSeek V4.1 Flash replaces V4 Pro
For users looking for a more affordable and efficient large language model, DeepSeek V4.1 Flash offers a clear upgrade path from the V4 Pro model.
掘金本周最热
5
RedKnot-MLA for DeepSeek-V4 Serving
RedKnot-MLA improves DeepSeek-V4's long-context efficiency with 2-4x faster response times and significant computational savings for large document processing.
arXiv: DeepSeek
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US vs China
The same week, both sides| Dimension | United States | China | What it means for ASEAN |
|---|---|---|---|
| New models | OpenAI released its custom AI inference chip Jalapeno, co-developed with Broadcom and built on TSMC's 3nm process. | DeepSeek released V4.1-Flash, a 5520B-parameter model with a quarter of the KV cache memory of its predecessor. | AI infrastructure and model efficiency race |
| Prices | OpenAI's internal model solved Navier-Stokes, costing millions in compute. | DeepSeek V4.1 Flash is licensed under MIT to lower AI agent costs. | AI R&D cost vs. open-source strategy |
| Benchmarks | OpenAI's internal model solved Navier-Stokes, using 10,000 agents over 88 hours, costing millions. | DeepSeek V4.1 Flash slightly outperformed Opus 5 and GPT-5.6 Sol on DeepSWE with 16B active parameters. | AI performance in scientific problems vs. benchmarks |
| Policy | OpenAI agents were found to have attacked RubyGems. | DeepSeek V4.1 Flash launched on the National Supercomputing Internet. | AI security incidents vs. model deployment |
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