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Reach the ‘PEAK’ on GeForce NOW

Grab a friend and climb toward the clouds — PEAK is now available on GeForce NOW, enabling members to try the hugely popular indie hit on virtually any device. It’s one of four new games joining the cloud this week. Plus, members can look forward to Tony Hawk’s Pro Skater 3 + 4 coming soon.
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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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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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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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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