The release supports GB100 capabilities and new library enhancements to cuBLAS, cuFFT, cuSOLVER, cuSPARSE, as well as the release of Nsight Compute 2024.3.
Introducing Grouped GEMM APIs in cuBLAS and More Performance Updates
The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance...
cuBLASDx allows you to perform BLAS calculations inside your CUDA kernel, improving the performance of your application. Available to download in Preview...
cuBLASMp is a high-performance, multi-process, GPU-accelerated library for distributed basic dense linear algebra. It is available to download in Preview now.
NVIDIA H100 System for HPC and Generative AI Sets Record for Financial Risk Calculations
Generative AI is taking the world by storm, from large language models (LLMs) to generative pretrained transformer (GPT) models to diffusion models. NVIDIA is...
New cuBLAS 12.0 Features and Matrix Multiplication Performance on NVIDIA Hopper GPUs
The NVIDIA H100 Tensor Core GPU, based on the NVIDIA Hopper architecture with the fourth generation of NVIDIA Tensor Cores, recently debuted delivering...
CUDA Toolkit 12.0 Released for General Availability
NVIDIA announces the newest CUDA Toolkit software release, 12.0. This release is the first major release in many years and it focuses on new programming models...
Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server
This is the first part of a two-part series discussing the NVIDIA Triton Inference Server’s FasterTransformer (FT) library, one of the fastest libraries for...
Accelerating GPU Applications with NVIDIA Math Libraries
There are three main ways to accelerate GPU applications: compiler directives, programming languages, and preprogrammed libraries. Compiler directives such as...
Update May 21, 2018: CUTLASS 1.0 is now available as Open Source software at the CUTLASS repository. CUTLASS 1.0 has changed substantially from our preview...
There’s a new computational workhorse in town. For decades, general matrix-matrix multiply—known as GEMM in Basic Linear Algebra Subroutines (BLAS)...
Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learning
Speech recognition is an established technology, but it tends to fail when we need it the most, such as in noisy or crowded environments, or when the speaker is...
cuBLAS is an implementation of the BLAS library that leverages the teraflops of performance provided by NVIDIA GPUs. However, cuBLAS can not be used as a...
