Cuda
NVIDIA CUDA Optimizations: Practical Guide to Faster GPU Code
Learn how NVIDIA's CUDA toolbox boosts GPU performance by 300x, crucial for AI and HPC applications driving NVIDIA's $5.4T market cap.
NVIDIA Launches nvmath-python v1.0, Boosting GPU Math in Python
NVIDIA releases nvmath-python v1.0, bridging Python and CUDA-X for high-performance math operations across CPUs, GPUs, and distributed systems.
NVIDIA CUDA 13.3 Brings Hardware-Accelerated Cryptography
CUDA 13.3 introduces carryless multiplication on NVIDIA GPUs, boosting cryptographic performance by up to 18x on Ampere and newer hardware.
NVIDIA CUDA Kernel Fusion Boosts GPU Efficiency in AI Workloads
NVIDIA's CUDA kernel fusion cuts memory traffic, kernel launch overhead, and speeds up AI and HPC tasks by up to 3x. Key for MoE and LLM training.
ParallelKernelBench Exposes LLM Weakness in Multi-GPU Kernels
ParallelKernelBench shows GPT-5.5 and peers struggle with multi-GPU CUDA kernels, solving less than 31% of tasks. Here's why it matters.
NVIDIA Introduces CCCL Runtime to Modernize CUDA Development
NVIDIA's CCCL Runtime brings modern C++ abstractions to CUDA, enabling safer, more efficient GPU programming for developers.
Nvidia's New MoE Kernels Promise 93% Speedup for AI Training
Nvidia unveils advanced MoE training kernels, boosting AI model throughput by up to 93% in GPT pre-training and redefining large-scale efficiency.
NVIDIA CUDA 13.3 Brings Tile Programming to C++
NVIDIA CUDA 13.3 introduces tile-based GPU programming in C++, optimizing Tensor Core use and simplifying kernel development.
NVIDIA Unveils CompileIQ to Maximize GPU Kernel Performance
NVIDIA's AI-powered CompileIQ optimizes GPU kernel performance using evolutionary algorithms, enabling up to 15% gains in critical AI workloads.
NVIDIA CUDA 13.3 Boosts GPU Programming with Tile C++ and Python
NVIDIA CUDA 13.3 introduces Tile C++ programming, Python updates, and CompileIQ, delivering up to 15% kernel speedups and enhancing GPU development.