Introduction to LLM Inference
A senior engineer with 11 years of distributed systems experience explains the full LLM inference pipeline, from request arrival to text output, detailing the GGUF file structure and the distinction b…
A senior engineer with 11 years of distributed systems experience explains the full LLM inference pipeline, from request arrival to text output, detailing the GGUF file structure and the distinction b…
A developer identified a recurring failure mode in local AI projects: teams assume model artifacts like .gguf and .safetensors files are self-documenting and safe to consume without inspection. To add…
Unsloth launched Unsloth Studio, a desktop application for Mac and Windows that runs AI models offline, supporting GGUF and Safetensors formats with tool-calling, web search, and an OpenAI-compatible …
The PyTorch Foundation has opened nominations for its 2026 Contributor Awards, recognizing individuals who strengthen projects like PyTorch, vLLM, DeepSpeed, Ray, Helion, and Safetensors through techn…
JAX's default_device context manager places arrays on the specified device but does not commit them, allowing JAX to move them to other devices. This caused array lookups to take over a second by trig…
JAX defaults to loading data directly onto GPU memory when a CUDA-enabled version is installed, causing out-of-memory errors for large datasets that would fit in system RAM. The framework's `jax.devic…
A developer porting PyTorch LLM code to JAX using Flax encountered difficulties when attempting to store model checkpoints with Safetensors, as the library's Flax API expects flat dictionaries but Fla…
A developer has released tiny-vllm, a high-performance LLM inference engine written in C++ and CUDA that serves as a smaller sibling to the vLLM project. The open-source repository includes both the f…