HPE introduces new enterprise AI solutions with NVIDIA
By MYBRANDBOOK
Hewlett Packard Enterprise and NVIDIA have announced new enterprise AI solutions with NVIDIA from NVIDIA AI Computing by HPE that accelerates the time to value for customers deploying generative, agentic and physical AI. NVIDIA AI Computing by HPE unveils new enterprise AI solutions with enhanced performance, power efficiency, security, and new capabilities for a full-stack, turnkey private cloud for AI. These solutions support enterprises of all sizes in effectively training, tuning, or inferencing their AI models.
AI is delivering significant opportunity for enterprises, and requires a portfolio of streamlined and integrated solutions to support widespread adoption," said Antonio Neri, president and CEO, at HPE "To fully harness the power of AI, HPE and NVIDIA bring to market a comprehensive portfolio of AI solutions that accelerate the time to value for enterprises to enhance productivity and generate new revenue streams."
“AI is transforming every industry, and enterprises are racing to build AI factories to produce intelligence,” said Jensen Huang, founder and CEO, at NVIDIA. “NVIDIA and HPE are delivering the full-stack infrastructure companies need to develop, train, and deploy AI at scale—from generative and agentic AI to robotics and digital twins. This collaboration accelerates the AI-driven transformation of business and unlocks new levels of productivity and innovation.”
HPE is expanding HPE Private Cloud AI with support for the new NVIDIA AI Data Platform. Together, HPE Private Cloud AI and the NVIDIA AI Data Platform will offer enterprises the fastest path to unlock the full value of their business data to fuel AI-driven actions.
HPE Private Cloud AI offers a self-service cloud experience enabled by HPE GreenLake cloud. Building on the NVIDIA AI Data Platform, it transforms data into actionable intelligence through continuous data processing that leverages NVIDIA’s accelerated computing, networking, AI software and enterprise storage—all of which exist today in HPE Private Cloud AI.
Additional updates for HPE Private Cloud AI, include –
● New HPE Private Cloud AI developer system: A new developer system adds an instant AI development environment to the HPE Private Cloud AI portfolio. Powered by NVIDIA accelerated computing, it includes an integrated control node, end-to-end AI software and 32TB of integrated storage.
● Unified, seamless edge-to-cloud data access: HPE Data Fabric Software is the backbone of the HPE Private Cloud AI data lakehouse and a new unified data layer from HPE. HPE Data Fabric ensures AI models are consistently supplied with optimized, high-quality structured, unstructured and streaming data across hybrid cloud environments.
● Accelerated time to value with pre-validated NVIDIA Blueprints: HPE Private Cloud AI now supports rapid deployment of NVIDIA blueprints enabling instant productivity from NVIDIA's extensive library of agentic and physical AI applications. With pre-validated blueprints including the Multimodal PDF Data Extraction Blueprint and Digital Twins Blueprint, HPE Private Cloud AI simplifies complex AI workloads providing increased performance and faster time to value.
HPE OpsRamp now offers GPU optimization capabilities that include observability of AI-native software stacks to deliver full-stack observability to manage the performance of training and inference workloads running on large NVIDIA accelerated computing clusters. The new GPU optimization capability is available through HPE Private Cloud AI and standalone for extending across large clusters.
The new GPU optimization capabilities are also available as a new day 2 operational service for AI delivered by HPE. The offering combines HPE Complete Care Service with NVIDIA GPU optimization capabilities to enable IT operations to transform the way they manage, optimize and proactively troubleshoot AI workloads across hybrid deployments.
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