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10月22日
10月21日
IndustryUS vs ChinaMulti-sourceSelected79°13:09
DeepSeek V4.1F shows 5x-7.4x decode edge on Ascend 950DT vs GB200

The cost crossover at 6.8K tokens/s/chip reframes the Ascend-versus-Blackwell debate from raw benchmark losses to workload-dependent economics, suggesting DeepSeek could run its API on a sub-US$1B Blackwell cluster while pivoting post-training to Ascend. Practitioners tracking inference infrastructure or Huawei's CANN ecosystem get a rare concrete per-chip price and throughput comparison. The proposed 128-chip Ascend supernode topology has no Nvidia equivalent, which matters for anyone planning large-scale decode deployments.

#DeepSeek#Ascend 950DT#GB200#DeepEP-Ascend
Event
Teortaxes@teortaxesTex11 sourcesSource
ModelsUS vs ChinaMulti-sourceSelected77°09:43
DeepSeek Open-Sources DeepInfer Inference Framework for V4.1 Flash

Open-sourcing the framework that runs DeepSeek's own production fleet gives operators a rare look at inference internals optimised for both NVIDIA and Huawei Ascend hardware, a dual-platform angle few comparable stacks like vLLM or SGLang emphasise. Teams running DeepSeek models on Ascend 950 in Southeast Asia gain a first-party option instead of community ports. Deterministic sampling is currently NVIDIA-only, so check hardware fit before adopting.

#DeepSeek#DeepInfer#open-source models#inference
Event
SuperTechFans11 sourcesSource
ProductsBuildersMulti-sourceSelected08:37
vLLM Matches DeepInfer Decode Performance on DeepSeek-V4.1-Flash

Open-source inference stacks closing the gap with a lab's proprietary serving setup changes the economics of self-hosting large MoE models. Teams weighing DeepSeek's API against running their own GPUs can use these Wide-EP and EPLB results to estimate revenue per GPU at off-peak prices. The GB200 and GB300 benchmarks also give infrastructure planners concrete throughput targets for the latest NVIDIA hardware.

#vLLM#DeepSeek#DeepInfer#inference
Event
官方账号vLLM@vllm_project7 sourcesSource
10月20日
IndustryUS vs ChinaSelected20:10
DeepSeek V4.1 Would Need Thousands More Blackwell GPUs

The back-of-envelope math suggests DeepSeek's RL training pipeline is compute-bound at the GPU level, not CPU-bound, which changes how analysts should read its published infrastructure claims. Investors and policy watchers tracking US export-control impact on Chinese labs can use the 3,000-GPU figure as a yardstick for scaling bottlenecks. Compare it with NVIDIA Blackwell allocation tiers announced for US hyperscalers.

#DeepSeek#DeepSeek V4.1#NVIDIA Blackwell#reinforcement learning
Teortaxes@teortaxesTexSource
PapersBuildersSelected11:47
Addressed-Memory Writes Fail at Reasoning in Qwen3 and DeepSeek Beds

Memory write-injection looks like a cheap way to add knowledge to a deployed model, but these results show the added facts cannot be chained into multi-hop reasoning by the model itself — orchestration must live in the application layer. Builders wiring RAG-style memory into agents should chain written atoms explicitly in prompts or system logic, and benchmark vendors should adopt coverage, synergy and distortion reporting. The tested beds include Chinese frontier models Qwen3 and DeepSeek, making the findings broadly relevant across model families.

#memory#DeepSeek#Qwen#RAG
arXiv: DeepSeek@Wei Gao et al. (4)Source
9月17日
AITOP16:09
Anthropic拟10月在新加坡设亚太第五个办事处 开...

Anthropic拟10月在新加坡设亚太第五个办事处 开放本地招聘 数据显示，按人口比例计算，新加坡的Claude.ai使用水平在121个国家中排名第二。 我们观察到，人工智能公司Anthropic计划于10月在新加坡设立其亚太地区的第五…

AITOPRead
8月13日
8月7日
AITOP17:04
出口结构剧变：中国卖给世界的，不再是产品而是解法

中国出口"新新三样"：从打火机到爬墙机器人，世界不再只是买便宜货 我们观察到一组清晰的数据信号：中国出口的"新新三样"已经从过去的服装、家具、家电，换成机器人、AI模型和创新药物。这不是产业升级的修辞游戏，而是发生在澳大利亚和巴西的实证样…

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8月2日