GitHub Models Removes the Biggest Barrier to AI in Open Source Open source projects often struggle to adopt AI-powered features due to the friction of requiring users to bring their own paid API keys or self-host large language models. These hurdles deter both ho... AI inference API integration automation CI/CD developer tools GitHub Models LLMs open source
NVIDIA Helix Parallelism Powers Real-Time AI with Multi-Million Token Contexts AI assistants recalling months of conversation, legal bots parsing vast case law libraries, or coding copilots referencing millions of lines of code, all while delivering seamless, real-time responses... AI inference GPU optimization KV cache large language models NVIDIA Blackwell parallelism real-time AI
vLLM Is Transforming High-Performance LLM Deployment Deploying large language models at scale is no small feat, but vLLM is rapidly emerging as a solution for organizations seeking robust, efficient inference engines. Originally developed at UC Berkeley... AI inference GPU optimization Kubernetes large language models memory management model deployment vLLM
NVIDIA Blackwell and Llama 4 Maverick: Ushering in a New Era of AI Inference Speed An NVIDIA AI system accomplished a record breaking 1,000+ tokens per second, per user, from a 400-billion-parameter language model all on a single machine. NVIDIA’s Blackwell architecture, paired with... AI inference Blackwell GPU acceleration Llama 4 NVIDIA speculative decoding TensorRT-LLM