NVIDIA Nsight Visual Studio Code Edition

NVIDIA Nsight™ Visual Studio Code Edition (VSCE) is an application development environment for heterogeneous platforms that brings CUDA® development for GPUs on Linux and QNX target[1] systems into Microsoft Visual Studio Code. NVIDIA Nsight™ VSCE enables you to build and debug GPU kernels and native CPU code as well as inspect the state of the GPU and memory.

[1] note that while Nsight VSCode Edition may be run on Linux, Windows, or MacOS host systems, the GPU being debugged must be on a Linux or QNX target system. Local debugging can only be done on Linux systems.

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Higher Productivity

Using smart CUDA auto- code completion features improves the overall development experience and enables users to save time and effort when writing code.


Debugging with Nsight Visual Studio Code Edition provides diverse benefits, including code formatting, easy navigation through source code, displaying and interacting with different source files, building executables, and testing.

Remote Development Support

Nsight Visual Studio Code Edition enables developers to implement CUDA code in various cluster environments such as Virtual Machines or remote Docker containers. It also supports code development for Linux systems via the Remote – WSL extension.

Key Features

CUDA Syntax Highlighting for Code Development and Debugging

Edit code productively with syntax highlighting and IntelliSense for CUDA code. Auto-completion, go to definition, find references, rename symbols, and more all seamlessly work for kernel functions the same as they do for C++ functions.

CUDA Kernel Breakpoint Support and Kernel Execution Control

Break into a debugging session in CPU or GPU device code using standard breakpoints, including support for conditional breakpoints with expression evaluation. GUI controls allow you to step over, into, or out of statements in the source code, just like normal CPU debugging. Breakpoints are evaluated for every kernel thread and will halt execution when any thread encounters them.

GPU and Kernel State Inspection

Break into the debugger to see all the detailed information at any point in the application with GPU debugging support for register, variable, and call-stack. There is watchlist support to add specific variables of interest for tracking. Additionally, there are focus controls to manually select streaming multiprocessor (SM), warp, and lane numbers to switch the debugger focus.




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