New Adobe Premiere Color Grading Mode Accelerated on NVIDIA GPUs
… Visual scopes are context-aware, dynamically adapting based on the selected tool. …
… Visual scopes are context-aware, dynamically adapting based on the selected tool. …
… Whether for a local AI enthusiast exploring the frontier of personal agents or a developer building local tooling for their workflows, Hermes on NVIDIA hardware offers a uniquely capable and reliable foundation. …
… As new body models, datasets or hardware show up, developers can plug into the same shared SOMA-X representation without breaking existing tools or long-running agents like OpenClaw that are constantly training, evaluating and deploying new behaviors. …
… Agents: Native support for structured tool use function calling . …
… OpenShell defines how agents access data, use tools and operate within policy boundaries, providing the architectural foundation for secure, always-on AI systems. Self-evolving agents need dedicated computing to build tools and software as they complete tasks autonomously. …
… This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. …
… The acceleration in training time reduces costs, saves energy and speeds time-to-market. It’s heavy lifting that makes large language models widely available so every business can adopt them with tools like NVIDIA NeMo , a framework for customizing LLMs . …
… Humanoid’s simulation-first development compressed what typically takes up to two years of hardware development down to just seven months. …
… Maximizing ROI: AI Inference Hardware Innovation for Lower TCO Improving the efficiency of AI inference workloads is a multifaceted challenge that demands innovative technologies across hardware and software. …
… The model is a strong fit for building action-taking conversational personas in games and apps that run on resource-constrained hardware. It’s available across any NVIDIA GPU-enabled system and combines state-of-the-art instruction-following and exceptional tool use with minimal VRAM footprint. …