CerebrasCoder – make websites in less than a second
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
CerebrasCoder – make websites in less than a second launched on December 17, 2024 with 8 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Stop waiting on your model. Cerebras runs GLM 4.7 — the best-in-class model for code generation, at 1,000 tokens+ per second — so you can stay in flow. GLM-4.7 is one of the world’s top open coding models: #1 for tool calling on the Berkeley Function Calling Leaderboard and on par with Sonnet 4.5 in web-dev performance. Use Cerebras Code Pro with any AI-friendly editor or agent that accepts your API key. Works out of the box with Cline, OpenCode, Crush, and more. Integrate instantly and code without switching tools. GLM 4.7 access with limited tokens and requests. Great for trying out Cerebras inference or building a small demo in your favorite AI Code Editor. GLM4.7 access with fast,…from cerebrascoder.com
Does a similar job
all alternatives →
Cerebras Wafer Scale Engine (WSE-3)2024 · cerebras.ai · ▲102World’s fastest AI chip with whopping 4 trillion transistors

Speeding up LLM inference 2x times (possibly)2024 · asciinema.org · ▲419Here's a project I've been working on for the last few months. It's a new (I think) algorithm, that allows to adjust smoothly - and in real time - how many calculations you'd like to do during inference of an LLM model. It seems that it's possible to do just 20-25% of weight multiplications instead of all of them, and still get good inference results. I implemented it to run on M1/M2/M3 GPU. The mmul approximation itself can be pushed to run 2x fast before the quality of output collapses. The inference speed is just a bit faster than Llama.cpp's, because the rest of implementation…
General ComputeMay 2026 · generalcompute.com · ▲315AI models that run on an inference cloud optimized for speed

We made our own inference engine for Apple Silicon2025 · github.com · ▲186We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Show HN post ↗