Hewlett Packard Enterprise (HPE) has launched its HPE Personal Cloud AI answer in India, aiming to assist enterprises deploy generative and agentic AI purposes swiftly and at scale.
The built-in, self-service AI cloud platform permits fast growth and deployment of AI workloads, considerably lowering the time from experimentation to real-world implementation.
HPE Personal Cloud AI integrates NVIDIA’s AI computing, networking, and software program stack with HPE’s AI storage, compute capabilities, and the HPE GreenLake cloud.
The platform simplifies AI deployment, monitoring, and optimisation, providing enterprises a unified interface with full lifecycle administration and deep observability insights throughout hybrid environments. It contains useful resource administration and AIOps options and is on the market in versatile configurations to help many AI use circumstances.
Som Satsangi, SVP and managing director at HPE India, mentioned, “As a part of the NVIDIA AI Computing by HPE portfolio, this turnkey answer simplifies AI deployment and operations, rushing up innovation whereas guaranteeing reliability and safety.”
The answer has additionally been enhanced with help for the brand new NVIDIA AI Information Platform, permitting organisations to rework enterprise knowledge into actionable intelligence. By combining NVIDIA’s accelerated computing and AI software program with HPE’s infrastructure, the platform facilitates steady knowledge processing to gasoline AI-driven actions.
Among the many newest updates to HPE Personal Cloud AI is a brand new developer system powered by NVIDIA accelerated computing. This atmosphere contains an built-in management node, end-to-end AI software program stack, and 32TB of built-in storage, providing immediate AI growth capabilities throughout the platform.
Moreover, HPE Information Material Software program now powers seamless edge-to-cloud knowledge entry throughout the HPE Personal Cloud AI knowledge lakehouse. This ensures AI fashions are constantly fed with high-quality, optimised structured, unstructured, and streaming knowledge throughout hybrid cloud environments.
To additional speed up AI deployment, the platform now contains pre-validated NVIDIA blueprints, together with the Multimodal PDF Information Extraction Blueprint and Digital Twins Blueprint.
These blueprints, developed in collaboration with NVIDIA, present fast-track implementations of advanced AI workloads, enhancing efficiency and lowering time to worth for enterprise clients.
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