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NVIDIA driver 576.57 is a Windows GPU driver associated with CUDA Toolkit 12.9 Update 1—not a CUDA Toolkit version itself. NVIDIA released it on June 3, 2025 as a WHQL-certified Windows 10 64-bit/Windows 11 driver. The CUDA 12.9 Update 1 documentation lists Windows driver version 576.57 or newer as its toolkit driver requirement, while the corresponding Linux data-center driver is 575.57.08.
You can install the driver separately. You only need the full CUDA Toolkit if you are developing or compiling CUDA software.
What is NVIDIA driver 576.57?
Version 576.57 is an NVIDIA GPU driver build for Windows. It allows Windows applications—and, in supported configurations, WSL and CUDA applications—to communicate with an NVIDIA GPU.
It is not:
- CUDA Toolkit 12.9
- A CUDA runtime or compiler version
- A version of
nvcc - A universal driver number for Windows, Linux, and every NVIDIA product category
NVIDIA’s official listing identifies 576.57 as a Data Center Driver for Windows. The listing shows WHQL certification, support for Windows 10 64-bit and Windows 11, a June 3, 2025 release date, and a listed package size of 685.62 MB.
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The exact package matters. A data-center driver should not automatically be installed on a GeForce computer simply because the version number appears in CUDA documentation.
How 576.57 relates to CUDA 12.9 Update 1
CUDA Toolkit and the NVIDIA driver are separate software layers:
- The driver provides the operating-system and GPU interface.
- The CUDA Toolkit provides development components such as
nvcc, headers, libraries, profilers, debuggers, samples, and Visual Studio integration.
CUDA Toolkit installers may offer the recommended driver, which is why 576.57 can appear as part of a CUDA installation. That does not turn the driver into the toolkit or mean that every CUDA user must install the entire toolkit.
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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11| CUDA release | Windows driver listed | Linux x86_64 driver listed |
|---|---|---|
| CUDA 12.9 GA | 576.02 or newer | 575.51.03 or newer |
| CUDA 12.9 Update 1 | 576.57 or newer | 575.57.08 or newer |
These are toolkit-associated or minimum driver requirements, not a claim that 576.57 is the best driver for every system. Newer compatible drivers may be preferable for newer GPUs, security fixes, application-specific fixes, or a vendor-validated software stack.
For the detailed compatibility table and toolkit contents, see NVIDIA’s CUDA 12.9 Update 1 release notes.
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Do you need to install 576.57?
| Your goal | What you generally need |
|---|---|
| Play games or use ordinary desktop graphics | The correct GeForce, Studio, or professional NVIDIA driver—not the full CUDA Toolkit |
| Run a precompiled CUDA application | A compatible NVIDIA driver; the toolkit is usually unnecessary |
Compile .cu source files |
The CUDA Toolkit plus a compatible driver |
Use nvcc |
The CUDA Toolkit |
| Use Nsight development tools | The relevant CUDA and Nsight components plus their driver requirements |
| Use CUDA through WSL | A suitable Windows host driver and compatible CUDA components inside WSL |
| Operate a Tesla or data-center GPU | The appropriate NVIDIA data-center driver package |
If your installed driver is newer than 576.57 and your CUDA application works, there is usually no reason to downgrade merely because CUDA 12.9 Update 1 names 576.57. Production systems should follow the driver and toolkit versions validated by the application vendor or administrator.
Driver-only installation versus the full toolkit
Install only the driver when:
- You need Windows or WSL GPU access.
- You are running software compiled on another machine.
- You want to update a supported GPU driver.
- You do not need CUDA compilers, headers, libraries, or profilers.
Choose your exact GPU, operating system, and product category through NVIDIA’s official driver selector. If a legacy or validated CUDA 12.9 Update 1 environment specifically requires 576.57, use the official package rather than a third-party mirror. NVIDIA’s download page is the authoritative source for the package’s supported products.
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- You need
nvccto compile CUDA code. - You need CUDA headers, libraries, samples, or Visual Studio integration.
- You need tools such as Nsight Compute or Nsight Systems.
NVIDIA’s developer-tools guidance describes CUDA Toolkit 12.9 Update 1 as including the recommended driver. Review the installer options carefully: an existing driver may be replaced even if your main intention is to install toolkit components.
Keep your existing driver when:
Your current driver meets the documented minimum and the target application is functioning. This is often the safest choice on production servers, validated workstations, and systems where driver deployment is centrally managed.
How to verify 576.57 on Windows
Use nvidia-smi in Command Prompt:
nvidia-smiThe output should include a line similar to:
Driver Version: 576.57For a concise GPU and driver check, run:
nvidia-smi --query-gpu=name,driver_version --format=csvYou can also check the driver through NVIDIA App system information or NVIDIA Control Panel under Help → System Information. Labels can vary between application versions.
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To check whether the CUDA compiler is installed, run:
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nvcc --versionor:
nvcc -Vnvidia-smi checks the installed driver and GPU visibility. nvcc --version checks the CUDA compiler/toolkit. They are not interchangeable. A machine can show driver 576.57 with CUDA Toolkit 12.8, 12.9, or another installed toolkit version.
Windows, WSL, Linux, and product-category differences
Windows
In the CUDA 12.9 Update 1 pairing, 576.57 is the Windows driver number. Confirm that the package matches your GPU family before installing it. The official 576.57 result is a data-center package, while GeForce and RTX professional products generally use their own driver channels.
WSL
WSL uses the Windows host NVIDIA driver to expose GPU functionality to the Linux environment. CUDA toolkit components can be installed inside WSL, but installing a separate traditional Linux display driver inside WSL is not the normal solution.
Run these commands inside WSL:
nvidia-smi
nvcc --versionIf nvidia-smi works but nvcc does not, the Windows driver may be functioning while the Linux-side CUDA Toolkit or PATH configuration is missing.
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Linux data-center systems
Do not use 576.57 as a Linux driver number. The corresponding Linux data-center release is 575.57.08. See NVIDIA’s data-center release notes for that platform-specific pairing.
GeForce, professional, and data-center GPUs
NVIDIA’s supported-product list for the 576.57 data-center package includes families such as H100, H800, H200 NVL, A100, A800, A40, A30, A10, A16, A2, L40, L40S, L20, L4, L2, Tesla V100, T4, P100, P40, P4, M60, M40, and professional RTX products. The exact list belongs to that package and should be checked before download. Consumer GeForce owners should use NVIDIA’s GeForce selector instead of assuming that the data-center package is interchangeable.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Troubleshooting
The installer says a newer driver is already installed
This normally means the current driver meets or exceeds the toolkit’s requirement. Do not force a downgrade without a specific compatibility reason. If the installer allows it, install only the toolkit components, then verify the current driver with nvidia-smi.
nvidia-smi is not recognized
Possible causes include a missing or failed driver installation, an unavailable command path, a virtual machine without GPU passthrough, or incomplete GPU exposure in WSL or a container.
- Restart the computer.
- Check whether the GPU appears correctly in Windows Device Manager.
- Install the correct product-specific NVIDIA driver if necessary.
- For WSL, verify host-driver support and GPU integration.
- For containers, separately verify NVIDIA Container Toolkit and runtime configuration.
nvcc is not recognized
A driver-only installation does not include nvcc. If you installed the toolkit, check its installation and PATH:
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- 3.125-slot design with massive fin array optimized for airflow from three Axial-tech fans
- Phase-change GPU thermal pad helps ensure optimal thermal performance and longevity, outlasting traditional thermal paste for graphics cards under heavy loads
where nvccThis is a toolkit or environment configuration problem unless nvidia-smi also fails.
A CUDA application reports an insufficient driver
Record the application’s required CUDA version and compare it with:
nvidia-smiThe problem may be an older driver, an application built for a newer CUDA major release, an incorrect GPU package, or incomplete GPU exposure through WSL, a container, or a virtual machine. For production software, follow the application vendor’s validated compatibility matrix rather than relying only on the toolkit version.
Nsight or Visual Studio has problems
NVIDIA’s page for Nsight Visual Studio Edition 2025.2.1 identifies CUDA 12.9 Update 1 support and recommends display driver 576.57 or newer. Matching those versions does not guarantee compatibility with every Visual Studio release, GPU, project, or debugging configuration. Check the Nsight release notes, test a minimal CUDA sample, and retain the previous driver installer before changing a production workstation.
The wrong driver class was installed
Identify the GPU with Device Manager or nvidia-smi, document the current driver, and return to NVIDIA’s product-specific selector. Replace the incorrect package only after confirming the correct driver family, then reboot and verify again.
Should you use 576.57 today?
Use 576.57 when you are maintaining a CUDA Toolkit 12.9 Update 1 environment that specifically requires or was validated with that Windows driver. Otherwise, use the current compatible driver recommended for your exact GPU, operating system, and application. NVIDIA’s current CUDA documentation says that beginning with CUDA 13.1, Windows display drivers are no longer bundled with the CUDA Toolkit package, so CUDA 12.9-era installer advice should not be applied automatically to newer releases.
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