| The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
| Developers: | Nvidia |
| Date of the premiere of the system: | 2021/03/09 |
| Technology: | Data Mining, ITSM - IT Service Management Systems, Network Health Monitoring - Network Monitoring or Health Performance Management of IT Infrastructure, Virtualization, Network Application Performance Management Systems |
Content |
Main articles:
- IT Service Management (ITSM)
- Virtualization. Classification and applications
- Data mining Intelligent data analysis
2021
Integration with VMware vSphere 7 Update 2
On March 19, 2021, VMware introduced an updated version of VMware vSphere 7 Update 2 with support for AI-Ready Enterprise. More details here.
Announcement of Nvidia AI Enterprise
On March 9, 2021, NVIDIA announced NVIDIA AI Enterprise, a software suite of enterprise artificial intelligence tools and frameworks optimized, certified, and supported by NVIDIA in VMware vSphere 7 Update 2.
According to the company, as part of an industry collaboration to develop the AI-Ready Enterprise platform, NVIDIA teamed up with VMware to virtualize AI-related business tasks in VMware vSphere using NVIDIA AI Enterprise. This allows enterprises to develop a wide range of AI solutions, such as advanced diagnostics in healthcare, smart manufacturing enterprises, and fraud detection in financial services.
With the NVIDIA AI Enterprise software suite, hundreds of thousands of enterprise IT professionals using vSphere for computing virtualization can now support AI with the same tools they use to manage large-scale data centers and hybrid clouds. The NVIDIA software package provides scalable, multi-site AI performance in vSphere, indistinguishable from naked servers.
 | Until now, users have started AI on dedicated physical servers (bare-metal servers). NVIDIA AI Enterprise enables customers to reduce AI development time from 80 to 8 weeks, and allows them to deploy and manage advanced AI applications in VMware vSphere with the same scalable NVIDIA accelerated computing performance that is possible on a dedicated server. narrated by Justin Boitano, vice president and director of corporate and edge computing at NVIDIA |  |
| | Each company is studying how to modernize its infrastructure in accordance with the requirements of artificial intelligence applications. With NVIDIA AI Enterprise and vSphere 7 Update 2, VMware users can now quickly track AI in their virtualized data centers and deploy a certified AI-enabled infrastructure for their current applications. | |
One of the first to adopt NVIDIA AI Enterprise for vSphere was Optum Technology, a member of the UnitedHealth Group.
| | AI plays an important role in the data-based services that Optum provides to United Healthcare. With NVIDIA AI Enterprise software and infrastructure running in our VMware vSphere environment, we can support the workloads of our applications and deploy AI across the enterprise. complemented by Justin Potuznik, Senior Chief Engineer, Optum Technology | |
NVIDIA AI Enterprise provides compatibility with a wide range of accelerated CUDA applications, AI frameworks, pre-models trained , and software development toolkits running in the hybrid cloud. Optimization allows you to scale workloads across multiple nodes and run large deep learning models with a full virtualization GPU.
To support applications in NVIDIA AI Enterprise, VMware vSphere 7 Update 2 is now certified for NVIDIA A100 tensor core graphics processors on NVIDIA-certified systems that include large servers from Dell Technologies, HPE, Lenovo and Supermicro. With this certification, vSphere customers who purchase a license for NVIDIA AI Enterprise receive direct user support from NVIDIA.
NVIDIA has also certified vSphere for software computing virtualization, providing support hypervisor for dynamic migration with NVIDIA Multi-Instance GPU technology, which allows each A100 graphics processor to be divided into a maximum of seven instances at the hardware level to optimize the efficiency of workloads of any size.
In addition, some NVIDIA ConnectX adapters are now certified for VMware vSAN via RDMA (Remote Direct Memory Access), which eliminates CPU communication challenges and optimizes application performance and ROI.
NVIDIA AI Enterprise software is available as an indefinite license at 3,595 dollars USA per CPU socket. Enterprise Business Standard support for NVIDIA AI Enterprise costs $899 per year per license. Customers can apply for early access to NVIDIA AI Enterprise when planning an upgrade to VMware vSphere 7 Update 2.
| The site content is translated by machine translation software powered by PROMT. The machine-translated articles are not always perfect and may contain errors in vocabulary, syntax or grammar. Read original article If you find inaccuracies or errors in the results of machine translation, please write to editor@tadviser.ru. We will make every effort to correct them as soon as possible. |