… Blog: How to Run AI-Powered CAE Simulations Guide: NVIDIA PhysicsNeMo™ Training: Accelerating Computer-Aided Engineering CAE With NVIDIA AI Physics Technology Data Science DataFrame and SQL Acceleration With cuDF cuDF is a GPU-accelerated library that optimizes fundamental DataFrame and SQL operati… …
… Hardware-Based Decoder and Encoder NVIDIA GPUs contain one or more hardware-based decoders and encoders separate from the CUDA cores which provide fully accelerated hardware-based video decoding and encoding for several popular codecs. …
… Startups get access to training through the DLI, preferred pricing on hardware, and invitations to exclusive networking events. Legacy Tools To better serve developers who are leveraging our legacy tools, this hub includes all tools that are still available but no longer in development or supported. …
… Resources Simulation Create rich 3D worlds for training, testing, and validation. Documentation Review DRIVE AGX hardware and software documentation. …
… Host and target side Docker container support enable efficient development. Resources Documentation Review DRIVE AGX hardware and software documentation. …
… The Toolkit-Ops layer is actively being integrated with leading open source packages, including TorchSim enabling native batched GPU molecular dynamics and relaxation , MatGL accelerating graph-based MLIP long-range calculations , and AIMNet Central enhancing flexible long-range interaction modelin… …
… Triton Ocean SDK Real-time visual simulation of oceans, water bodies in games, simulation, and training applications, by Triton. CUVIlib Primitives for accelerating imaging applications in medical, industrial, and defense domains. …
… Startups get access to training through NVIDIA’s Deep Learning Institute, preferred pricing on hardware through our global network of distributors, invitations to exclusive networking events, and more.
… Kernel-based programming provides a low-level abstraction that maps closely to GPU hardware, and, in contrast to tensor-based programming, provides implicit kernel fusion controlled by the user , fine-grained control over threads, native support for conditional logic, and sparse scatter and gather … …
… View all posts by Eduardo Alvarez View all posts by Eduardo Alvarez About Benjamin Klieger Benjamin Klieger is an engineering manager at NVIDIA, where he works on applied AI agent architecture research with a focus on accelerating agent performance through a co-designed software and hardware stack. …