gpt-oss Tools

vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). It solves the problem of expensive and inefficient LLM deployment by maximizing hardware utilization with features like PagedAttention and continuous batching, drastically reducing inference costs. It's designed for developers and organizations who need to deploy a wide range of open-source LLMs easily and affordably on any hardware, offering a drop-in OpenAI-compatible API for instant integration.

TokenSpeed is a high-performance LLM inference engine built from the ground up for agentic workloads like AI coding assistants. It solves the critical efficiency problem at data-center scale by maximizing throughput per GPU through a compiler-backed parallelism model and a high-performance scheduler. It is designed for organizations deploying large-scale, token-intensive AI applications where inference speed and resource efficiency directly impact cost and capacity.

Unsloth is an open-source desktop application that allows you to run and train large language models (LLMs) and diffusion models locally on your own hardware. It solves the problem of needing expensive cloud compute or specialized infrastructure to work with advanced AI models like Qwen3.8, Gemma 4, and FLUX. It's designed for developers, researchers, and AI enthusiasts who want full control, privacy, and cost-effectiveness in their AI projects.