…Despite NVIDIA providing robust solutions such as integrity mechanisms and hardware-enforced tenant isolation, such features remain underutilized because Quantum InfiniBand isn’t as widely understood as Ethernet. There is currently a…
…where he works with customers, partners, and research teams to enable real-world federated learning with NVIDIA FLARE. He has more than 30 years of experience building distributed systems. Before joining NVIDIA…
…The following code shows how the API works: # Build a graph by capturing operations gb = device.create_graph_builder() gb.begin_building() # Capture kernel launches in the graph (not executed) launch(gb…
…Understanding of PyTorch Distributed (DTensor) operations and custom autograd functions. Access to an NVIDIA H100 or B200 GPU cluster, as the framework relies heavily on its interconnect bandwidth and Transformer Engine acceleration…
…Knowledge of how to build agentic RAG systems using LangGraph. A turnkey, portable development environment. Your own customized agentic RAG system, ready to share as an NVIDIA Launchable . Video walkthrough Opening the…
…Requirements Operating System Windows, Linux and Mac OS Development Environment C++ Compiler MDL SDK 2025.0.5 The MDL SDK API is a comprehensive C++ API for integration and customization tasks, which…
…By releasing the source code, trained model checkpoints, datasets, and research papers detailing the innovations, we aim to provide a customizable foundation for researchers and developers building the next generation of protein…
…That investment paid off when community partners such as Mooncake and Alibaba brought SGLang support to life, contributing collectors, validation, and integration work covered in the following sections. From a user’s…
…an integral and universal part of the modern software industry, functioning akin to an “operating system” base layer upon which many applications are built. These applications include AI assistants , customer support agents…
…PTQ is a natural extension of the NeMo LLM building and customizing capabilities for seamless and efficient deployment paths using NVIDIA TensorRT Model Optimizer and NVIDIA TensorRT-LLM. As an example, NVIDIA…