Erik

@erikkaum.bsky.social

SWE @hf.co

We have Nvidia B200s ready to go for you in Hugging Face Inference Endpoints 🔥 I tried them out myself and the performance is amazing. On top of that we just got a fresh batch of H100s as well. At $4.5/hour it's a clear winner in terms of price/perf compared to the A100.

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Hugging Face inference endpoints now support CPU deployment for llama.cpp 🚀 🚀 Why this is a huge deal? Llama.cpp is well-known for running very well on CPU. If you're running small models like Llama 1B or embedding models, this will definitely save tons of money 💰 💰

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Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs. SmolVLM can be fine-tuned on a Google collab and be run on a laptop! Or process millions of documents with a consumer GPU!

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Is it just me or does it intuitively align that chat bars are at the bottom of the page and search bars at the top? I've noticed that perplexity positions the question on the top and generates the text below. Is it because they want to position more as a search engine?

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Just wrote some golang for fun. Damn, I had almost forgotten how enjoyable it’s to program in. Just breezing through the code. If I need thousands of threads, it’s just there.

A while ago I started experimenting with compiling the Python interpreter to WASM. To build a secure, fast, and lightweight sandbox for code execution — ideal for running LLM-generated Python code. - Send code simply as a POST request - 1-2ms startup times github.com/ErikKaum/run...

GitHub - ErikKaum/runner: Experimental wasm32-unknown-wasi runtime for Python code execution

Experimental wasm32-unknown-wasi runtime for Python code execution - ErikKaum/runner

github.com