#DeCode

The demand for high-quality video continues to accelerate across industries, powering everything from immersive streaming experiences to remote collaboration…

As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1).

mini-vllm-rs is a single-node LLM inference engine I built in Rust on top of Candle for macOS. It can...

mini-vllm-rs is a single-node LLM inference engine I built in Rust on top of Candle for macOS. It can...

mini-vllm-rs is a single-node LLM inference engine I built in Rust on top of Candle for macOS. It can...

NVIDIA Dynamo is an open-source inference framework for deploying large-scale generative AI models...

Gaining support for USB SDR devices unlocks the ability to receive all sorts of interesting radio signals on CircuitPython based hardware. One such fun signal is SSTV, which are signals that decode into images.…

A 96GB GPU couldn't run 1024x768 I2V (83.5 GiB peak). The 54 GiB wasn't the model — it was an autograd graph from consuming a lazy VAE decode iterator outside no_grad. One-line fix, peak drops to 29.5 GiB, flat up to 2048x1536.

An acoustic modem and mesh prototype with measured encode/decode timings, round-trip proof, and an honest boundary between verified core modem work and untested multi-node mesh.

From The Register: Inference is giving AI chip startups a second chance to make their mark

SSL Certificate Decoder: How to Read and Analyze Any Certificate SSL certificates are...

If you are building a streaming app or sideloading APKs on Fire TV Stick, the codec your app uses...

If you are building a streaming app or sideloading APKs on Fire TV Stick, the codec your app uses...

I wanted to answer one question: After packed-codebook TurboQuant failed, was there still a...

In vision AI systems, model throughput continues to improve. The surrounding pipeline stages must keep pace, including decode, preprocessing, and GPU scheduling.

As large language model (LLM) inference workloads grow in complexity, a single monolithic serving process starts to hit its limits. Prefill and decode stages…

From BuzzFeed Latest: Only 13% Of People Can Successfully Decrypt These Hidden Messages In Under 6 Minutes