HPE Private Cloud AI, in partnership with Nvidia, offers an integrated solution that combines GPUs, networking, and software with HPE’s AI memory and computing power through GreenLake cloud. This setup allows enterprises to efficiently develop and deploy generative AI applications in a sustainable manner. Nvidia’s enterprise AI software accelerates data science processes, optimizing the creation of production-ready AI applications like copilots. The inclusion of Nvidia Inference Microservices in Nvidia AI Enterprise ensures smooth deployment of AI models from prototype to secure production.
HPE also provides pre-configured database and AI tools alongside their AI Essentials software, offering customizable solutions, ongoing support, and reliable AI services such as data and model compliance. They emphasize a unified control plane to ensure AI pipelines are compatible, explainable, and reproducible throughout the AI lifecycle. HPE Private Cloud AI leverages OpsRamp AI Copilot to enhance IT workload efficiency and overall operations.
CTO and head of the Hybrid Cloud Business Unit at HPE, Fidelma Russo, stressed the simplicity and speed of deploying the solution. Users can quickly set up the device, connect to the GreenLake cloud, and with just three clicks, be ready to utilize Nvidia software. They promise an evergreen experience with the latest versions of HPE software, Nvidia AI enterprise software, and NIM software readily accessible for users.
Overall, HPE Private Cloud AI in collaboration with Nvidia offers a turnkey solution for enterprises looking to leverage AI technology efficiently. With a focus on sustainability, speed, and flexibility, this integrated platform provides a seamless path for developing and deploying generative AI applications. Through a combination of powerful hardware, advanced software, and ongoing support, HPE aims to streamline AI operations for businesses across various industries.
Article Source
https://www.networkworld.com/article/2154051/hpe-and-nvidia-unveil-private-cloud-for-ai.html