• 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

Tesla P100, Tesla P40, Tesla P6, Tesla P4

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

Tesla C2075, Tesla C2070, Tesla C2050

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

Tesla Driver for Windows

Tesla Driver for Windows

Version:	386.07
Release Date:	2018.1.9
Operating System:	Windows 10 64-bit
CUDA Toolkit:	9.0
Language:	English (US)
File Size:	309.81 MB

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 Tesla P100, Tesla P40, Tesla P6, Tesla P4 Tesla K80, Tesla K40c, Tesla K40m, Tesla K40s, Tesla K40st, Tesla K40t, Tesla K20Xm, Tesla K20m, Tesla K20s, Tesla K20c, Tesla K10, Tesla K8 Tesla C2075, Tesla C2070, Tesla C2050 M60, M40, M6, M4, M2090, M2075, M2070, M2070-Q, M2050 Tesla Driver for Windows Tesla Driver for Windows Version: 354.56 WHQL Release Date: 2015.12.9 Operating System: Windows Server 2008 R2 64, Windows Server 2012 R2 64 CUDA Toolkit: 7.5 Language: English (US) File Size: 240.41 MB New in Release 354.56 A critical fix for a bug that could result in silent data corruption when allocating more than 4GB as a single block of contiguous device memory. We recommend all Tesla users upgrade from previous releases of the 352 driver to this latest release. Note that the 346 and 340 driver versions are not impacted by this bug. Notifications about important updates can be received directly via email by signing up at this link: https://developer.nvidia.com/release-notifications. Recommended CUDA version(s): Tesla K80, Tesla K40c, Tesla K40m, Tesla K40s, Tesla K40st, Tesla K40t, Tesla K20Xm, Tesla K20m, Tesla K20s, Tesla K20c, Tesla K10, Tesla K8 Tesla C2075, Tesla C2070, Tesla C2050 M60, M40, M6, M2090, M2075, M2070, M2070-Q, M2050 Читайте также:  Сервер обновлений windows реестр Оцените статью Вам также может понравиться Windows или Linux: Что лучше выбрать? Есть много причин выбирать между Windows и Linux, но Файл владелец изменить linux Команда Chown в Linux Chown Command in Linux (File Установка шлюза по умолчанию linux Настройка сети вручную Содержание Краткое описание Чем разбить диск для linux ИТ База знаний Курс по Asterisk Полезно — Узнать IP — Правообладателям Политика конфиденциальности Контакты