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Showing posts older than #2428 · Back to latest

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Post #2427 613
Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer

https://developer.nvidia.com/blog/model-quantization-post-training-quantization-using-nvidia-model-optimizer/
NVIDIA Technical Blog Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer This post is the second of a three-part series. See also Model Quantization: Concepts, Methods, and Why It Matters and Model Quantization: Turn FP8 Checkpoints into High-Performance Inference Engines…
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Post #2426 608
Powering the Next American Century: US Energy Secretary Chris Wright and NVIDIA’s Ian Buck on the Genesis Mission

https://blogs.nvidia.com/blog/energy-secretary-chris-wright-ian-buck/
NVIDIA Blog Powering the Next American Century: US Energy Secretary Chris Wright and NVIDIA’s Ian Buck on the Genesis Mission AI will help build the energy it needs. That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo. The 30-minute fireside chat, moderated by…
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Post #2425 584
Linked and Loaded: Gaijin Single Sign-On Now Available on GeForce NOW

https://blogs.nvidia.com/blog/geforce-now-thursday-gaijin-sso/
NVIDIA Blog Linked and Loaded: Gaijin Single Sign-On Now Available on GeForce NOW Less typing, more tanking. Faster logins mean more time in the gaming action — and this week provides GeForce NOW members with a smoother path straight into the battlefield. Cloud gaming is all about instant access to titles across devices, and the latest…
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Post #2424 621
Real-Time Performance Monitoring and Faster Debugging with NCCL Inspector and Prometheus

https://developer.nvidia.com/blog/real-time-performance-monitoring-and-faster-debugging-with-nccl-inspector-and-prometheus/
NVIDIA Technical Blog Real-Time Performance Monitoring and Faster Debugging with NCCL Inspector and Prometheus Distributed deep learning depends on fast, reliable GPU-to-GPU communication using the NVIDIA Collective Communication Library (NCCL). When training slows down, it becomes challenging to determine why…
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Post #2421 691
Building for the Rising Complexity of Agentic Systems with Extreme Co-Design

https://developer.nvidia.com/blog/building-for-the-rising-complexity-of-agentic-systems-with-extreme-co-design/
NVIDIA Technical Blog Building for the Rising Complexity of Agentic Systems with Extreme Co-Design Generative AI’s explosive first chapter was defined by humans sending requests and models responding. The agentic chapter is different. Agents don’t follow a pre-determined sequence of actions.
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Post #2416 704
Build AI-Powered Games with NVIDIA DLSS 4.5, RTX, and Unreal Engine 5

https://developer.nvidia.com/blog/build-ai-powered-games-with-nvidia-dlss-4-5-rtx-and-unreal-engine-5/
NVIDIA Technical Blog Build AI-Powered Games with NVIDIA DLSS 4.5, RTX, and Unreal Engine 5 Today, game developers can begin integrating NVIDIA DLSS 4.5 with Dynamic Multi Frame Generation, Multi Frame Generation 6X, and the second-generation transformer model for NVIDIA Super Resolution.
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Post #2415 627
Speed Up Unreal Engine NNE Inference with NVIDIA TensorRT for RTX Runtime

https://developer.nvidia.com/blog/speed-up-unreal-engine-nne-inference-with-nvidia-tensorrt-for-rtx-runtime/
NVIDIA Technical Blog Speed Up Unreal Engine NNE Inference with NVIDIA TensorRT for RTX Runtime Neural network techniques are increasingly used in computer graphics to boost image quality, improve performance, and streamline content creation. Approaches like super resolution, denoising…
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Post #2414 580
How to Build, Run, and Scale High-Quality Creator Workflows in ComfyUI

https://developer.nvidia.com/blog/how-to-build-run-and-scale-high-quality-creator-workflows-in-comfyui/
NVIDIA Technical Blog How to Build, Run, and Scale High-Quality Creator Workflows in ComfyUI Creative and visualization teams today produce more assets, in more formats, with leaner teams. Generative AI can accelerate that work – compressing tasks that once took hours of manual effort into…
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Post #2413 607
Automating GPU Kernel Translation with AI Agents: cuTile Python to cuTile.jl

https://developer.nvidia.com/blog/automating-gpu-kernel-translation-with-ai-agents-cutile-python-to-cutile-jl/
NVIDIA Technical Blog Automating GPU Kernel Translation with AI Agents: cuTile Python to cuTile.jl NVIDIA CUDA Tile (cuTile) is a tile-based programming model that enables developers to write GPU kernels in terms of tile-level operations—loads, stores, and matrix multiply-accumulate—rather than…
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Post #2411 719
NVIDIA Launches Nemotron 3 Nano Omni Model, Unifying Vision, Audio and Language for up to 9x More Efficient AI Agents

https://blogs.nvidia.com/blog/nemotron-3-nano-omni-multimodal-ai-agents/
NVIDIA Blog NVIDIA Launches Nemotron 3 Nano Omni Model, Unifying Vision, Audio and Language for up to 9x More Efficient AI Agents Best-in-class open omni-modal reasoning model delivers the highest efficiency and accuracy to power agentic workflows such as computer use, document intelligence and audio-video reasoning.
Post #2409 627
Scaling Biomolecular Modeling Using Context Parallelism in NVIDIA BioNeMo

https://developer.nvidia.com/blog/scaling-biomolecular-modeling-using-context-parallelism-in-nvidia-bionemo/
NVIDIA Technical Blog Scaling Biomolecular Modeling Using Context Parallelism in NVIDIA BioNeMo For decades, computational biology has operated under a reductionist compromise. To fit complex biological systems into the limited memory of a single GPU, researchers have had to deconstruct them…
Post #2408 680
NVIDIA Nemotron 3 Nano Omni Powers Multimodal Agent Reasoning in a Single Efficient Open Model

https://developer.nvidia.com/blog/nvidia-nemotron-3-nano-omni-powers-multimodal-agent-reasoning-in-a-single-efficient-open-model/
NVIDIA Technical Blog NVIDIA Nemotron 3 Nano Omni Powers Multimodal Agent Reasoning in a Single Efficient Open Model Agentic systems often reason across screens, documents, audio, video, and text within a single perception‑to‑action loop. However, they still rely on fragmented model chains—separate stacks for vision…
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