NVIDIA Developer Blog

Volta: Advanced Data Center GPU

Numba: High-Performance Python with CUDA Acceleration

Numba is an open-source Python compiler from Anaconda that can compile Python code for high-performance execution on CUDA-capable GPUs or multicore CPUs.

CUDA on Windows Subsystem for Linux 2

In response to popular demand, Microsoft announced a new feature of the Windows Subsystem for Linux 2 (WSL 2)—GPU acceleration—at the Build conference in May 2020. This feature opens the gate for many…

Real-Time Noise Suppression Using Deep Learning

Imagine waiting for your flight at the airport. Suddenly, an important business call with a high profile customer lights up your phone. Tons of background noise clutters up the soundscape around you…

An Even Easier Introduction to CUDA

A quick and easy introduction to CUDA programming for GPUs. This post dives into CUDA C++ with a simple, step-by-step parallel programming example.

How Jet Built a GPU-Powered Fulfillment Engine with F# and CUDA

Have you ever looked at your shopping list and tried to optimize your trip based on things like distance to store, price, and number of items you can buy at each store? The quest for a smarter…

Hybridizer: High-Performance C# on GPUs

Hybridizer is a compiler from Altimesh that lets you program GPUs and other accelerators from C# code or .NET Assembly. Using decorated symbols to express parallelism, Hybridizer generates source code…

Accelerated “Ray Tracing in One Weekend” in CUDA

Recent announcements of NVIDIA’s new Turing GPUs, RTX technology, and Microsoft’s DirectX Ray Tracing have spurred a renewed interest in ray tracing. Using these technologies vastly simplifies the…

Using Deep Learning to model personal visual aesthetics

Visual aesthetics are very personal, often subconscious, and hard to express. In a world with an overload of photographic content, a lot of time and effort is spent manually curating photographs…

High-Performance GPU Computing in the Julia Programming Language

Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C. The language has been created with performance in mind…

High-Performance GPU Computing in the Julia Programming Language (2017)

Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C. The language has been created with performance in mind…

Inside Pascal: Nvidia 's Newest Computing Platform

At the 2016 GPU Technology Conference in San Jose, NVIDIA CEO Jen-Hsun Huang announced the new NVIDIA Tesla P100, the most advanced accelerator ever built. Based on the new NVIDIA Pascal GP100 GPU and…