#Inference

Quick Introduction We have all been on forums, chats, reddit, discord, youtube, or somewhere and heard “Oh! Model XYZ is AMAZEBALLZ!zomgwtfbbq” then downloaded it (or more likely, some quantized form of it) and said “eww… This sucks!” This post is going…

OpenRouter is joining forces with Stripe. Same mission, same name, same product, same roadmap, and routing that stays driven by what's best for you.

The Cerebras CS-4 delivers revolutionary AI performance, replacing hundreds of GPUs with a single wafer-scale chip. Accelerate AI workloads like never before.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

A language model on a 1975 MOS 6502 processor, using a tiny Mamba-based language model and custom 8-bit ternary inference engine, used to generate text on a BBC Micro from the 1980s.

The best candidates would be top 1% at multiple parts of the inference stack. work on PD disaggregation research Morph builds the inference infrastructure behind the fastest open models.…

Named Jalapeño, the new processor was designed specifically for the unique needs of OpenAI's inference systems.

Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOLO detectors still rely on non-maximum suppression at inference, carry heavy…

The mining protocol does not verify whether work came from real AI training or inference workloads.

You're three hours into debugging a model quantization issue. The GPU utilization is sitting at 12%....

AI placement latency is not the problem most teams think they are managing. The default framing...

Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests, per Axios.

Here's a bug that's easy to miss and harder to debug: your AI runs perfectly on one input path,...

Build cost-effective serverless endpoints for Docker-based model inference by reducing idle GPU time, cold starts, and image bloat.