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Showing posts older than #2548 · Back to latest

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Post #2547 603
Streamlining Resource Binding with End-to-End Support for Vulkan Descriptor Heaps

https://developer.nvidia.com/blog/streamlining-resource-binding-with-end-to-end-support-for-vulkan-descriptor-heaps/
NVIDIA Technical Blog Streamlining Resource Binding with End-to-End Support for Vulkan Descriptor Heaps Shaders are GPU programs that process visual data—such as rays, pixels, geometry, and textures—to produce specific rendering effects. Shaders find necessary data through a process called resource…
Post #2546 561
Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support

https://developer.nvidia.com/blog/scaling-ai-inference-across-multiple-gpus-using-nvidia-tensorrt-with-multi-device-inference-support/
NVIDIA Technical Blog Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the challenge is scaling across multiple…
Post #2545 472
How KRAFTON Built PUBG Ally, a Co-Playable Character Powered by NVIDIA ACE

https://developer.nvidia.com/blog/how-krafton-built-pubg-ally-a-co-playable-character-powered-by-nvidia-ace/
NVIDIA Technical Blog Q&A: How KRAFTON Built PUBG Ally, a Co-Playable Character Powered by NVIDIA ACE AI companions in games have long been constrained by fixed dialogue. PUBG Ally is a different kind of system. Built by KRAFTON for PUBG: BATTLEGROUNDS, this AI teammate is powered by NVIDIA ACE and…
Post #2543 566
Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications

https://developer.nvidia.com/blog/accelerating-bev-pooling-on-nvidia-gpus-for-physical-ai-applications/
NVIDIA Technical Blog Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird’s-eye-view (BEV) perception. BEV models project multicamera image features into a shared…
Post #2541 512
Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations

https://developer.nvidia.com/blog/maximize-ai-factory-energy-efficiency-through-full-stack-inference-and-training-optimizations/
NVIDIA Technical Blog Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations Power can account for 40% of the operating expenses (OpEx) to run an AI factory. Each watt can be spent on overhead, data ingestion, training, or generating tokens for customers. And most sites are…
Post #2540 453
Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding

https://developer.nvidia.com/blog/boost-inference-performance-up-to-15x-on-nvidia-blackwell-using-dflash-speculative-decoding/
NVIDIA Technical Blog Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs generate tokens sequentially…
Post #2539 429
Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit

https://developer.nvidia.com/blog/build-an-ai-scientist-for-life-science-discovery-with-nvidia-bionemo-agent-toolkit/
NVIDIA Technical Blog Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit AI scientists are emerging as a new interface for scientific computing. These agents can read papers, write code, generate hypotheses, call APIs, inspect files, and iterate on results. But science isn’…
Post #2538 449
How Businesses Are Building Specialized AI They Can Trust

https://blogs.nvidia.com/blog/nvidia-agent-toolkit-open-models-tools-skills-secure-runtime-ai-agents/
NVIDIA Blog How Businesses Are Building Specialized AI They Can Trust NVIDIA Agent Toolkit — comprising models, tools, skills and a secure runtime — provides an open, modular foundation for building safer, faster, lower-cost digital AI coworkers that enterprises and developers can customize, specialize, control and trust.
Post #2532 395
NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure

https://blogs.nvidia.com/blog/nairr-scientific-research-ai-infrastructure/
NVIDIA Blog NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure The U.S. National Science Foundation’s NAIRR pilot program has driven innovative research across the U.S. for over 700 projects — spanning protein prediction and infectious disease outbreak management.
Post #2529 312
Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins

https://blogs.nvidia.com/blog/eco-wave-power-ai-digital-twins/
NVIDIA Blog Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins Eco Wave Power, a member of the NVIDIA Inception startup program’s Sustainable Futures initiative, is developing technology — powered by NVIDIA AI infrastructure and digital twins — that converts energy from ocean waves into clean electricity using existing…
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