• Various security issues were addressed, for additional details on the med-high severity issues please review NVIDIA Product Security for more information
• Fixed a bug in the NVIDIA GPU Boost algorithm that could cause the Tesla P100 SXM2 GPU to become unresponsive with a “GPU has fallen of the bus” error under certain workloads. In this state, the GPU is not available for any work
• Added support for Tesla V100 GPUs
• Added support for MPS on Tesla V100 GPUs
• Added nvmlClocksThrottleReasonSwThermalSlowdown as a NVML throttle reason. This is shown as SW Thermal Slowdown in nvidia-smi -q
• Added new "Memory Max Operating Temp" to nvidia-smi and SMBPBI to report the maximum memory temperature for Tesla V100
• Added new "GPU Max Operating Temp" to nvidia-smi and SMBPBI to report the maximum GPU operating temperature for Tesla V100
• Added CUDA support to allow JIT linking of binary compatible cubins
• Fixed an issue in the driver that may cause certain applications using unified memory APIs to hang

Maximus System
For Maximus systems (Quadro + Tesla in the same system), download the latest recommended Quadro driver. Quadro drivers are qualified for workstations and rendering applications, including Maximus configurations that use Quadro for visualization and Tesla GPUs for compute acceleration.

V-Series:

Tesla V100

P-Series:

Tesla P100, Tesla P40, Tesla P6, Tesla P4

K-Series:

Tesla K80, Tesla K40c, Tesla K40m, Tesla K40s, Tesla K40st, Tesla K40t, Tesla K20Xm, Tesla K20m, Tesla K20s, Tesla K20c, Tesla K10, Tesla K8

C-Class:

Tesla C2075, Tesla C2070, Tesla C2050

M-Class:

M60, M40, M6, M4, M2090, M2075, M2070, M2070-Q, M2050

X-Class:

Tesla X2070, Tesla X2090