…View all posts by Wenwen Gao View all posts by Wenwen Gao About Selvaraj Anandaraj Selvaraj Anandaraj is a Deep Learning Performance Engineer working on accelerating Deep Learning workloads using NVIDIA hardware…
…It includes Halos Core, the base safety operating system for developing and deploying safety applications and a collection of Blueprints including NVIDIA Halos Outside-In Safety Blueprint to extend robot perception with…
…NVPL TENSOR Tensor contraction, reduction, and elementwise operations for deep learning and inference on Grace CPUs. NVPL RAND High-performance random number generation (RNG) for fast and high-quality random numbers. NVPL…
…speedups for triangle operations performance For more information on the performance noted above, please view the Performance section below. Expansive MLIPs Support and Accelerations Leading equivariant machine-learning interatomic potential models including…
…The model author can inject custom kernels into the model graph by decorating relevant operations as PyTorch custom operators . The AutoDeploy compiler will not modify the relevant operators (Figure 3). Sharding, fusion…
…and Red Team operator at NVIDIA, bringing over a decade of experience in penetration testing, vulnerability research, and red teaming. His research interests include adversary simulation, adversarial machine learning, agentic AI systems…
…Holoscan Reference Applications Check out and share reference applications, operators, tutorials, and benchmarks on the HoloHub. Learn About the Latest Release Jump into the latest features and improvements for the Holoscan SDK…
…Native Kubernetes and GPU operator integration : Manage this stack using standard Kubernetes primitives and the NVIDIA GPU Operator, for a “lift-and-shift” deployment without rewriting the deployment manifests or the AI…
…Deep learning inference parameters First, we selected inference parameters that struck a good balance between accuracy and speed. Protein inference setup for all deep learning inference pipelines (ColabFold and OpenFold), thus utilized…
…With CUDA Tile, developers describe operations on tiles of data, and the compiler handles the mapping to hardware. Consider vector addition. In the traditional GPU programming model, using CUDA.jl, the programmer…