NIXL is an open source library for accelerating point-to-point data transfers in AI inference frameworks. NIXL provides a single, easy-to-use API that can be used to address a variety of data transfer challenges within these frameworks while maintaining maximum performance. This API supports multiple technologies such as RDMA, GPU-initiated networking, GPU-Direct storage, block and file storage, and advanced cloud storage options including S3 over RDMA and Azure Blob Storage. It is vendor-agnostic and can run across diverse environments. For example, it supports Amazon Web Services (AWS) with
Enhancing Distributed Inference Performance with the NVIDIA Inference Transfer Library | NVIDIA Technical Blog…Discuss (0) Discuss (0) Tags Developer Tools & Techniques | Robotics | Simulation / Modeling / Design | General | Isaac Lab | Isaac Sim | Intermediate Technical | Tutorial | featured | GTC 2026 About the Authors About Philipp Reist Philipp Reist is…
…Traditional CPU-based simulation workloads only partially utilize the full performance of MLIPs and incur significant communication penalties in CPU-GPU data movement. Moreover, MLIPs typically underutilize the GPU, as they only…
…Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | Agent toolkit | Announcement | Blueprint | featured | General | GTC 2026 | Intermediate Technical | LLMs | NeMo | Nemotron | Retrieval Augmented Generation (RAG) | Tutorial 작성자 소개 Sean Lopp 프로필…
…Linux] Improve performance of destroying graphics pipeline libraries January 30th, 2026 - Windows 582.32, Linux 580.94.17 Fixes: VK_EXT_descriptor_heap fixes and improvements Fix vkCmdResolveImage when targetting the non…
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