Tesla Driver for Windows 386.07 | Windows 10 64-bit

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*This download includes the NVIDIA graphics driver and an option to additionally install the NVIDIA App. Details for use of the software can be found in the NVIDIA GeForce Software license and NVIDIA App License Agreement respectively.

*This download includes the NVIDIA graphics driver and an option to additionally install the NVIDIA App. Details for use of the software can be found in the NVIDIA GeForce Software license and NVIDIA App License Agreement respectively.

By clicking the "Download" button, you are confirming that you have read and agree to be bound by the License For Customer Use of NVIDIA Software for use of the driver. The driver will begin downloading immediately after clicking on the "Download" button. NVIDIA recommends users update to the latest driver version.

Driver Version: 386.07
Release Date: Tue Jan 09, 2018
Operating System: Windows 10 64-bit
CUDA Toolkit: 9.0
Language: English (US)
File Size: 324.86 MB

By clicking the "Download" button, you are confirming that you have read and agree to be bound by the License For Customer Use of NVIDIA Software for use of the driver. The driver will begin downloading immediately after clicking on the "Download" button. NVIDIA recommends users update to the latest driver version.

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  • Various security issues were addressed, for additional details on the med-high severity issues please review NVIDIA Product Security for more information
  • Fixed an issue with power management that would result in the GPU falling off the bus (Kepler+ GPUs)
  • Fixed an issue where nvidia-smi nvlink would not report any NVLink information
  • Fixed a bug in unified memory for memory accesses between non-peer GPUs
  • Fixed a crash in unified memory when running applications under MPS (on Pascal+ systems)
  • Fixed an issue with P2P bandwidth performance under passthrough virtualization when pair of GPUs can support both PCIe and NVLink interconnects
  • Fixed an issue where cudaDeviceReset would result in a segmentation fault when using CUDA IPC APIs
  • Fixed an issue where CUDA-Z would hang AWS EC2 p3 instances in some cases
  • Fixed a bug in the JIT compiler in some cases address computations involving immediate values may be incorrect

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