ML helps computers to work without being explicitly programmed in a user-friendly way so anyone can learn and utilize it in their daily life such as health, research, science, finance, and intelligent system:
Assigning a GPU in NVIDIA GRID vGPU
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: VMware Approach with ML Technology
- Machine Learning Capabilities with vSphere 6.7
- Proactive Measures with vSAN Advanced Analytics
- Security with Workspace ONE Intelligence
- Technical requirements
- Workspace ONE Intelligence
- Business objectives of Workspace ONE Intelligence
- Top ten use cases of Workspace ONE Intelligence
- Identifying and mitigating mobile OS vulnerabilities
- Insights into Windows 10 OS updates and patches
- Predicting Windows 10 Dell battery failures and automating replacement
- Identifying unsupported OS versions and platforms
- Tracking OS upgrade progress
- Monitoring device utilization or usage
- Increasing compliance across Windows 10 devices
- Comprehensive mobile app deployment visibility
- Tracking migration and adoption of productivity applications
- Adopting internal mobile applications
- Workspace ONE Trust Network
- Summary
- Proactive Operations with VMware vRealize Suite
- Intent-Based Manifest with AppDefense
- Section 2: ML Use Cases with VMware Solutions
- ML-Based Intelligent Log Management
- ML as a Service in the Cloud
- ML-Based Rule Engine with Skyline
- DevOps with vRealize Code Stream
- Transforming VMware IT Operations Using ML
- Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML
- Network Transformation with IoT
- Virtualizing Big Data on vSphere
- Cloud Application Scaling
- High-Performance Computing
- Other Books You May Enjoy
ML with NVIDIA GPUs
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.