Corendos (@TheCorendos) profile picture

Software Engineer @zml_ai

Paris, France
Joined January 2013
Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)Photo by Corendos (@TheCorendos)
Corendos retweeted
Announcing zml/llmd 20261023.0 with 2 new models: - Qwen/Qwen3.8-Flash-Next - XiaomiMiMo/MiMo-V2.6 And faster deepseek-ai/DeepSeek-V4.1-Flash zml.ai/posts/llmd-20261023.0…
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Corendos retweeted
In close collaboration with @poolsideai, we’re happy to announce the support of Laguna S 2.1, their new open-weight model for agentic coding and long-horizon work. It’s available today in ZML/LLMD with DFlash support. Most importantly (and as always with us), it’s available on all the supported platforms: NVIDIA, AMD, Intel, Google TPU and Apple Metal. It's a good model, sir. zml.ai/posts/laguna-s-2-1/
Today we're releasing Laguna S 2.1, our most capable model to date. It's a 118B total parameter Mixture-of-Experts model with 8B activated per token, a context window of up to 1M tokens, and thinking and no-thinking modes. Capable enough to hold its own against models many times its size. Small enough to run on a single @NVIDIAAI DGX Spark. Laguna S 2.1 is fully open under OpenMDW-1.1, with weights available today on @huggingface poolside.ai/blog/introducing…
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Corendos retweeted
Introducing zml-smi, a universal diagnostic and monitoring tool for GPUs, TPUs and NPUs. Real-time insights into the performance and health of your hardware. Read & Download: zml.ai/posts/zml-smi/
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Corendos retweeted
ZML/v2 is live !
Introducing ZML/v2 ZML/v2 is a complete rewrite of the framework with a focus on developer experience, performance and most importantly composability. Link in next tweet.
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Corendos retweeted
zml-smi running on TPU, Inferentia, NVIDIA and AMD same binary, because of course.
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Corendos retweeted
Gradium is out of stealth to solve voice. We raised $70M and after only 3 months we’re releasing our transcription and synthesis products to power the next generation of voice AI.
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The talk is live Towards unlimited contexts -- zml/attnd: faster-than-GPU sparse logarithmic attention on CPU Link in next tweet
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Sex is good but have you tried loading tensors from a SSD to a 4090 at 15GB/s ?
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And after 1 week of work, here is zml/llmd running transparently on TPU with full prefill/decode paged attention. No code change, single flag, as it should be.
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We've been cooking. zml/llmd will soon get another platform.
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In today’s Vatnik Soup, I’ll introduce how the Elon’s Election Interference Machine™ (EIM) works. Since Musk & his broligarch allies won the presidency for Trump, they’ve now harnessed the machine to interfere in European elections, including the ones in Germany & Romania. 1/23
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If you're at FOSDEM, come see @renerocksai and @gwenzek who will be presenting @zml_ai
Already thrilled to speak about @zml_ai at #FOSDEM 2025! Will be in Brussels from Saturday to Monday. If you want to chat, please stop by! fosdem.org/2025/schedule/eve…
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Here is a quick demo of @zml_ai running with MLX (cc @awnihannun). It's a very early demo and needs lots more work, but it's alive.
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We can finally say it publicly: @poolsideai got their models running on @awscloud’s Trainium/Inferentia thanks to @zml_ai. No code change. Promise kept.
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H200 go brrrr with @zml_ai's llmd
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So we're working on a custom async HTTP/1.1 server for the @zml_ai LLM serving stack. This is on a single thread, M3 Max. Uses stackful coroutines and @mitchellh's libxev. Not gonna lie, pretty happy about the performance.
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