当前位置:网站首页>USB Network Native Driver for ESXi更新到支持ESXi7.0 Update 2
USB Network Native Driver for ESXi更新到支持ESXi7.0 Update 2
2022-07-28 05:23:00 【yqowen】
https://flings.vmware.com/usb-network-native-driver-for-esxi#changelog 更新到1.8版本,增加了ESXi 7.0 Update2的支持。
从changelog来看,这次更新还修复了使用多个USB网卡时的PSOD紫屏问题。
边栏推荐
- 基于选择性知识提取的野外低分辨率人脸识别的论文阅读笔记
- Pytorch deep learning single card training and multi card training
- Tensorflow2.1 basic concepts and common functions
- Which enterprises are suitable for small program production and small program development?
- Overview of unconstrained low resolution face recognition II: heterogeneous low resolution face recognition methods
- 深度学习(增量学习)——ICCV2021:SS-IL: Separated Softmax for Incremental Learning
- Knowledge point 21 generic
- 无约束低分辨率人脸识别综述二:异构低分辨率人脸识别方法
- 神经网络实现鸢尾花分类
- Adaface: quality adaptive margin for face recognition image quality adaptive edge loss for face recognition
猜你喜欢

三、OpenVINO实战:图像分类

Applet development

利用辅助未标记数据增强无约束人脸识别《Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data》

The difference and relation between TCP and UDP

How much does small program development cost? Analysis of two development methods!

Neural network learning

使用神经网络实现对天气的预测

Byte Android post 4 rounds of interviews, received 50k*18 offers, and successfully broke the situation under the layoff

Distributed cluster architecture scenario optimization solution: distributed scheduling problem

Overview of unconstrained low resolution face recognition II: heterogeneous low resolution face recognition methods
随机推荐
Digital collections become a new hot spot in tourism industry
深度学习——Pay Attention to MLPs
Deep learning (self supervision: CPC V2) -- data efficient image recognition with contractual predictive coding
《Distilling the Knowledge in a Neural Network》知识蒸馏论文解读
How much does small program development cost? Analysis of two development methods!
What is the detail of the applet development process?
Improved knowledge distillation for training fast lr_fr for fast low resolution face recognition model training
Reinforcement learning -- SARS in value learning
神经网络学习
Realization of topic function
Deploy the project to GPU and run
三、OpenVINO实战:图像分类
深度学习(一):走进机器学习与深度学习理论部分
Tensorflow2.1 basic concepts and common functions
无约束低分辨率人脸识别综述三:同质低分辨率人脸识别方法
Deep learning - patches are all you need
tensorboard可视化
无约束低分辨率人脸识别综述二:异构低分辨率人脸识别方法
使用神经网络实现对天气的预测
强化学习——基础概念