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How to Run Coding Assistants for Free on RTX AI PCs and Workstations

Coding assistants or copilots — AI-powered assistants that can suggest, explain and debug code — are fundamentally changing how software is developed for both experienced and novice developers. Experienced developers use these assistants to stay focused on complex coding tasks, reduce repetitive work and explore new ideas more quickly. Newer coders — like students and
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From Terabytes to Turnkey: AI-Powered Climate Models Go Mainstream

In the race to understand our planet’s changing climate, speed and accuracy are everything. But today’s most widely used climate simulators often struggle:…

In the race to understand our planet’s changing climate, speed and accuracy are everything. But today’s most widely used climate simulators often struggle: They can’t fully capture critical small-scale processes, like thunderstorms or towering tropical clouds, because of computational limits. To capture these features, scientists run ultra-high-resolution simulations called cloud-resolving…

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ScreenEnv: Deploy your full stack Desktop Agent

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Asynchronous Robot Inference: Decoupling Action Prediction and Execution

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Building the Hugging Face MCP Server

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Delivering the Missing Building Blocks for NVIDIA CUDA Kernel Fusion in Python

Decorative image.C++ libraries like CUB and Thrust provide high-level building blocks that enable NVIDIA CUDA application and library developers to write speed-of-light code…Decorative image.

C++ libraries like CUB and Thrust provide high-level building blocks that enable NVIDIA CUDA application and library developers to write speed-of-light code that is portable across architectures. Many widely used projects, such as PyTorch, TensorFlow, XGBoost, and RAPIDS, use these abstractions to implement core functionality. The same abstractions are missing in Python. There are high-level…

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Reinforcement Learning with NVIDIA NeMo-RL: Reproducing a DeepScaleR Recipe Using GRPO

Reinforcement learning (RL) is the backbone of interactive AI. It is fundamental for teaching agents to reason and learn from human preferences, enabling…

Reinforcement learning (RL) is the backbone of interactive AI. It is fundamental for teaching agents to reason and learn from human preferences, enabling multiturn tool use, and much more. This post introduces NVIDIA NeMo-RL, a new open source post-training library that is built to support everything from single-GPU prototypes to thousand-GPU large models and to orchestrate multicomponent RL…

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Creating custom kernels for the AMD MI300

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Reachy Mini – The Open-Source Robot for AI Builders

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Upskill your LLMs with Gradio MCP Servers