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ESDS Rolls Out GPU-as-a-Service with Next-Gen “GPU SuperPODs”
ESDS has announced a major expansion of its services — launching a sovereign-grade GPU-as-a-Service offering. The launch was unveiled at the company’s 20th Annual Day event.
This service is aimed at supporting growing demand for AI/ML, Generative-AI, and large-language-model workloads from enterprises, research labs, government bodies, BFSI, and more.
ESDS’s offering includes high-performance GPU clusters built on latest hardware — including systems powered by NVIDIA (DGX / HGX / NVL72 architectures) and AMD (MI300X) — enabling training of large models, fast inference, simulation workloads, and large-scale data processing.
The “GPU SuperPOD” infrastructure is designed with high-bandwidth interconnect (NVLink), unified memory pools, intelligent scheduling, optimized thermal / resource management, and AI-optimized orchestration — making it suitable for heavy, mission-critical AI workloads at scale.
Along with managed GPU infrastructure, ESDS offers a “SuperPOD Configurator” — a tool that lets customers design their GPU cluster: choose GPU models, compute density, storage, memory, interconnect, get performance estimates and cost projections — making it easier for enterprises to plan their AI infrastructure.
The company claims this move transforms ESDS from being just a cloud and data-center services provider to a full-stack, sovereign-grade AI infrastructure provider — enabling organizations in India to scale AI projects without relying on overseas cloud/GPU providers.
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