1. DeepSeek open-sources DeepInfer
DeepSeek released DeepInfer, the in-house engine that serves its models in production, under the Apache 2.0 license. It currently supports only DeepSeek-V4.1-Flash and runs on Nvidia SM100 GPUs and Huawei Ascend 950 chips, with speculative decoding and multi-chip parallelism. It omits KV-cache infrastructure and load balancing. Hosts running DeepSeek models can now adopt the lab’s own serving methods, though its speed claims are not yet independently verified.
Source: The Next Web
2. US orders DeepSeek out of civilian agencies
The Department of Homeland Security made public an order, effective since late July, that bars DeepSeek products from federal civilian procurement and requires agencies such as Treasury, State, and Justice to remove them. The order also covers third-party products built on DeepSeek. Defense and intelligence systems fall outside it. Vendors selling to government will likely need to audit whether any of their tools rely on DeepSeek models.
Source: BBC News
3. Inception launches Mercury 3
Inception released Mercury 3, a diffusion-based language model that generates text in parallel rather than one token at a time. The company says it matches or beats GPT-6 Luna and Claude Haiku 5.5 while running at about 1,068 tokens per second, with a 1M-token context and launch pricing of $0.10 per million input tokens. If the benchmarks hold up, it is the strongest case yet that diffusion models can compete on latency-sensitive work.
Source: Inception
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