NVIDIA Aerial
…It includes a runtime for executing the pipelines on NVIDIA Aerial™ RAN computer platforms. NVIDIA Aerial CUDA-Accelerated RAN NVIDIA CUDA libraries for layer 1 (L1) and layer 2 (L2) RAN, to…
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Tuning Flash Attention for Peak Performance in NVIDIA CUDA Tile | NVIDIA Technical Blog
…The sum of exponentials seen so far (the softmax denominator) When we process a new tile with values \(x_{new}\): Update the maximum : \(m_{new} = \max(m_i, \max(x_{new}))\) Compute…
Making Softmax More Efficient with NVIDIA Blackwell Ultra | NVIDIA Technical Blog
…In the specific context of softmax, the most computationally expensive of these transcendentals is the natural exponential function that is executed on Special Function Units (SFUs). In NVIDIA assembly instructions ( SASS ), this…
CUDA Python
NVIDIA CUDA Python NVIDIA® CUDA® Python is a set of tools and libraries that enable Python developers to leverage NVIDIA’s CUDA platform for GPU-accelerated computing. It allows Python applications to…
Building the AI Grid with NVIDIA: Orchestrating Intelligence Everywhere | NVIDIA Technical Blog
…NVIDIA announced at GTC 2026 that telcos and distributed cloud providers are transforming their networks into AI grids , embedding accelerated computing across a mesh of regional POPs, central offices, metro hubs, and…
Building Token‑Metered AI Services on Telco AI Factories | NVIDIA Technical Blog
…Model sizes and reasoning workloads continue to grow, driving up tokens per request, while each new generation of accelerated computing drives down cost per token. Together, these trends make it more valuable…
Develop High-Performance GPU Kernels in C++ with NVIDIA CUDA Tile | NVIDIA Technical Blog
…Check out the documentation , the API reference manual , and CUDA Toolkit 13.3 today to start writing tile C++ kernels and experience the new standard for accelerated computing. Acknowledgements Thanks to NVIDIA…
Introducing NVIDIA BlueField-4-Powered CMX Context Memory Storage Platform for the Next Frontier of AI | NVIDIA Technical Blog
…infrastructure into compute, networking and storage racks that serve as configurable building blocks for AI factories . Within the Vera Rubin platform, the NVIDIA BlueField-4 STX rack introduces a new context memory…
Federated Learning Without the Refactoring Overhead Using NVIDIA FLARE | NVIDIA Technical Blog
…The latest version of NVIDIA FLARE addresses this reality with a federated computing runtime that moves the training logic to the data, while raw data stays put. In high-stakes environments, centrally…
Enhancing Distributed Inference Performance with the NVIDIA Inference Transfer Library | NVIDIA Technical Blog
…Seonghee holds a master’s in computer science from Stanford University and a bachelor’s in science from Cornell University, specializing in AI. Before joining NVIDIA, she worked at Microsoft Research on…