What’s New in CUDA


CUDA 10 is the most powerful software development platform for building GPU-accelerated applications. It has been built for Turing GPUs and includes performance optimized libraries, a new asynchronous task-graph programming model, enhanced CUDA & graphics API interoperability, and new developer tools. CUDA 10 also provides all the components needed to build applications for NVIDIA's most powerful server platforms for AI and high performance computing (HPC) workloads, both on-prem (DGX-2) and in the cloud (HGX-2).

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See Release Notes for additional details.

Key Features


  • New GPU architecture: Build and optimize applications for the next generation of Turing GPUs
  • Tensor Cores
  • NVSwitch Fabric


  • CUDA Graphs: A new asynchronous task-graph programming model which enables more efficient kernel launch and execution
  • CUDA/Graphics Interop: New interoperability between CUDA and graphics APIs, including Vulkan and DX12
  • Warp Matrix


  • nvJPEG: New library for hybrid JPEG processing that provides >2x speedup on single and batched image decoding
  • Performance Optimized Libraries: Strong FFT performance scaling across 16-GPU systems, acceleration of dense linear algebra routines such as Eigensolver and Cholesky factorization, and Turing optimized mixed-precision GEMM performance


  • New Developer Tools: New Nsight product family of tools for tracing, profiling, and debugging of CUDA applications (Nsight Systems and Nsight Compute)

Release Highlights

cuFFT 10.0 - Upto 17TF performance on 16-GPUs 3D 1K FFT

cuBLAS 10.0 - Upto 90TF of GEMM Performance

cuSOLVER 10.0 - Upto 4x faster on symmetric eigensolver

Learn More

Inside Turing

Learn about new technologies and features introduced in the NVIDIA Turing GPU architecture.

Nsight Systems

Learn more about the performance analysis tool designed to provide software optimization insights

Nsight Compute

Learn more about the interactive CUDA API debugging and kernel profiling tool

Archived Releases

Volta Architecture Support

  • Execute AI applications faster with Tensor Cores performing 5X faster than Pascal GPUs
  • Scale multi-GPU applications with next generation NVLink delivering 2X throughput of prior generation
  • Increase GPU utilization with Volta Multi-Process Service (MPS)

Development Tools

  • Optimize and pre-fetch memory access by identifying source code causing page faults in unified memory
  • Profile NVLink efficiently by adding events to timeline and color coding connections
  • Inspect unified memory performance bottlenecks with new event filters based on virtual address, migration reason and page fault access type


  • Speed up high performance computing (HPC) and deep learning apps with new GEMM kernels in cuBLAS
  • Execute image and signal processing apps faster with performance optimizations across multiple GPU configurations in cuFFT and NVIDIA Performance Primitives
  • Solve linear and graph analytics problems common in HPC with new algorithms in cuSOLVER and nvGRAPH

Cooperative Groups

  • Express rich parallel algorithms with threads from sub-tiles to warps, blocks and grids
  • Manage and reuse threads efficiently within an application with new API and function primitives
  • Replace warp-synchronous programming with robust programming model on Kepler architecture and above

See Release Notes archive for details.

Latest News

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Major Companies in Japan Select Jetson AGX Xavier

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Yamaha Motor Selects NVIDIA Jetson AGX Xavier

Yamaha Motor just announced they selected the NVIDIA Jetson AGX Xavier platform as the development system to power their upcoming lineup of autonomous machines in agriculture, logistics, marine products, and last mile-transportation.

Blogs: Parallel ForAll

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Turing Variable Rate Shading in VRWorks

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Video Series: Shiny Pixels and Beyond: Real-Time Raytracing at SEED

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Introduction to Turing Mesh Shaders

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