NVIDIA AI Enterprise is a software platform that can rapidly deploy and manage AI workloads such as learning, inference and data analytics. It enables simultaneous development and review by multiple team members on a platform that is centrally managed without being aware of the environment, accelerating the use of AI in all corporate organizations.
In a company that is introducing AI for the first time and considering building an AI infrastructure, IT operators in the information system department and AI engineers involved in model development face the following issues.
Issues in corporate AI utilization
How to integrate existing IT infrastructure and AI infrastructure
At the start of the project, there is no knowledge or know-how to decide how to build a new AI infrastructure in addition to the existing IT infrastructure, and how to divide the subsequent operation between IT operators and AI engineers. There are many cases where it stops.
Difficulties in selecting hardware and software
AI frameworks are increasingly being distributed as container images, and it has become common to use containers in machine learning as well. In addition, the number of cases where container orchestration is used is increasing in anticipation of resource optimization and future resource expansion. For developers who have no experience with these technologies, I would like to take the time to acquire knowledge and consult with them about what is best when selecting products for their own AI environment from among the many hardware and software for AI. I'm going to have a voice.
I don't know how to deal with open source software
The use of open source frameworks and libraries in AI development is unavoidable in order to improve development efficiency, and development using container images containing these is the mainstream. However, containers can harbor suspicious malware as they are collections of file packages. It is extremely dangerous to use an image containing such risks by connecting it to an internal network, and we often receive inquiries from people who want to take countermeasures but do not know how to do so.
NVIDIA AI Enterprise Solves
NVIDIA AI Enterprise is a solution developed to lower the hurdles for enterprise AI utilization, providing an end-to-end platform for AI. We support the construction of the first AI infrastructure and accelerate the introduction of AI.
Managed by systems familiar to IT operators
NVIDIA AI Enterprise can run on systems that IT operators are familiar with, such as VMWare vSphere and Red Hat® OpenShift®. As a result, IT operators can focus on infrastructure management, and AI engineers can focus on development, realizing an optimal division of work. Especially in recent years, infrastructure security has become important, and it is a great advantage to be able to entrust management to skilled IT operators instead of inexperienced AI engineers.
Providing optimal hardware and software
NVIDIA AI Enterprise provides a container-based (NGC) software stack optimized and validated for each AI development cycle, from model development to inference. Furthermore, GPUs, which are hardware, are compatible with both NVIDIA-certified on-premises environments and public cloud environments such as AWS and GCP, realizing the optimal AI infrastructure for customers.
Proposing software that can be used with peace of mind
In addition to famous frameworks such as PyTorch and TensorFlow, we provide convenient software that can be used from analysis to evaluation and operation, such as NVIDIA TAO Toolkit and Triton Inference Server provided by NVIDIA. NVIDIA AI Enterprise includes enterprise support in which NVIDIA performs regular software maintenance and updates, so people who are usually worried about open source software maintenance can use it with peace of mind.
Please refer to the following for the software provided. (as of January 7, 2023)
NVIDIA AI Enterprise Software Components
https://docs.nvidia.com/ai-enterprise/latest/release-notes/index.html#software-components
Would you like to experience it first?
When introducing NVIDIA AI Enterprise, we recommend that you first experience it with "NVIDIA LaunchPad" and then purchase the NVIDIA Certified System.
What is NVIDIA LaunchPad
A free program that provides short-term access to hands-on labs provided by NVIDIA.
Since it is possible to access the cloud environment provided by NVIDIA for evaluation, there is no need to prepare a server or license, and you can try it easily and free of charge.
NVIDIA LaunchPad application page
What is NVIDIA-Certified Systems?
NVIDIA AI Enterprise is software that runs on NVIDIA-Certified Systems (certified servers). To install, you need to purchase an NVIDIA AI Enterprise validated certified server and an NVIDIA AI Enterprise license.
NVIDIA AI Enterprise license is bundled with NVIDIA H100, the latest product of Data Center GPU. Available.
NVIDIA H100 Product Page
Click here for detailed information
For more information on NVIDIA AI Enterprise, download materials are available.
Please use all means.
Contact Us
Macnica provides MLOps solutions centered on NVIDIA products, and has many achievements in building AI infrastructure for companies.
If you are interested in AI utilization issues and NVIDIA AI Enterprise to solve them, please feel free to contact us.
AI TRY NOW PROGRAM
This is a support program that allows you to test the latest AI solutions on the NVIDIA development environment before introducing them into your company.
You can deepen your understanding of software products such as NVIDIA AI Enterprise and NVIDIA Omniverse and investigate the feasibility of your implementation objectives in advance.
Related product page
