The hardware component of the platform is based on a rack-scale architecture, where computing components are managed at the level of an entire rack of servers as a single entity to optimize resources. It includes HPE ProLiant Compute DL380a servers incorporating Nvidia L40S GPUs and Nvidia BlueField-3 DPUs (data processing units).
Update to learning software
HPE’s Machine Learning Development Environment Software has been updated to a managed service as a cloud-based solution for AI model training. The service, also included in its new AI tuning platform, is intended to help businesses quickly and safely start or advance their generative AI projects. It simplifies the training process of AI models, supposedly making it faster to develop them, and it’s designed to adapt to future needs, reducing the strain on management and processing resources. Additionally, the software includes new features for generative AI to enable quick testing and prototyping of models.
Ezmeral gets updated data lakehouse
The new AI platform also includes HPE Ezmeral Software, which has been updated to make it easier and quicker for businesses to handle data, analytics, and AI tasks. The software platform, which allows users to run cloud-native or non-cloud-native applications in containers, is designed to work smoothly across various cloud environments. Key updates include a more efficient hybrid data lakehouse, which is now better optimized for GPU and CPU usage, facilitating easier data management and analysis. Also, integration with HPE Machine Learning Development Environment Software is meant to improve model training and tuning. The software also features better GPU allocation management, enhancing performance across different workloads. Moreover, Ezmeral now supports more third-party tools, such as Whylogs for monitoring models and Voltron Data for faster, GPU-accelerated data queries.
Customers will be able to order the new AI platform and the various updated components in the first quarter of 2024.
New digital twin tech geared for virtual assets
HPE also announced a GreenLake Flex Solution for Digital Twin built on Nvidia OVX-certified HPE ProLiant Gen11 servers with Nvidia L40S GPUs. The solution is meant to allow users to create, simulate, and optimize virtual assets and processes. It’s a scalable, multi-GPU framework that provides the necessary infrastructure, software, and services to leverage the benefits of industrial digitalization. The digital twin features AI-accelerated infrastructure and Nvidia Omniverse Enterprise, designed to enable rapid insights from all available data. The company says the solution combines a public cloud’s flexibility with a private cloud’s security.
A digital twin is like a virtual model of a real-life object or system. This technology, which started with individual items, now covers bigger things like buildings, factories, and whole cities. Some people even think it can be used for people and the way things are done, making the idea of digital twins much broader.
