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ENTITY Qwen 3.5 397B

Qwen 3.5 397B

PulseAugur coverage of Qwen 3.5 397B — every cluster mentioning Qwen 3.5 397B across labs, papers, and developer communities, ranked by signal.

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  1. 2026-07-15 research_milestone Google achieved a 4.7x speedup in prefill workloads for the Qwen 3.5-397B MoE model on Ironwood TPUs through JAX/Pallas optimization. source
SENTIMENT · 30D

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_143941 ·

    Google optimizes Qwen 3.5-397B MoE on Ironwood TPUs for 4.7x speedup

    Google has optimized the Qwen 3.5-397B Mixture-of-Experts (MoE) model to run on its Ironwood Tensor Processing Units (TPUs). This optimization, achieved using JAX and Pallas, resulted in a 4.7x speedup for prefill workl…

  2. TOOL · CL_97453 ·

    Rio 3.5 397B AI project accused of fraud after delivering merged model instead of trained one

    A large language model project, Rio 3.5 397B, which received R$500K (approximately $100K USD) in funding, is facing accusations of fraud. Initially, the project claimed to have developed a significantly improved model b…

  3. COMMENTARY · CL_78285 ·

    Nex N2 Pro fine-tune uses 'few words do trick' reasoning

    A user on Reddit's r/LocalLLaMA subreddit has observed a peculiar reasoning pattern in the Nex N2 Pro model, a fine-tune of Qwen 3.5 397B. This pattern involves the frequent use of simple words like "need" and "maybe" t…

  4. TOOL · CL_61840 ·

    Windows vs. Linux: No Speed Difference for llama.cpp MoE Models

    A user tested the performance of llama.cpp on Windows 11 and Linux, finding no significant speed difference for medium to large Mixture of Experts (MoE) models. The tests involved specific hardware configurations and de…

  5. MEME · CL_50052 ·

    User seeks RAM advice for local AI inference server build

    A user is seeking advice on building a server for local inference, specifically questioning the optimal RAM configuration for their dual RTX 3090 setup. They are debating between 128 GB of 3200 MHz RAM or 256 GB of 2133…

  6. TOOL · CL_47650 ·

    Together AI partners with Adaption to streamline model fine-tuning

    Together AI has partnered with Adaption, a company co-founded by former Cohere and Google DeepMind leaders Sara Hooker and Sudip Roy. This collaboration integrates Adaption's data optimization tools with Together AI's f…