ESDS Launches GPU Cloud Service for AI Enterprise Scaling

The announcement comes as global spending on AI-optimised servers, including GPUs and accelerators, is expected to touch $329.5 billion by 2026, driven by increasing need for deterministic, high-throughput computing environments. ESDS said its new platform enables organisations to run mission-critical AI workloads on purpose-built GPU SuperPODs designed for secure operations, consistent performance and low-latency distributed training. The company has evolved its expertise into a fully managed GPU infrastructure stack intended to help organisations scale AI on a reliable architectural foundation.

Piyush Somani, promoter, managing director and chairman of ESDS, in a statement said the move addresses surging demand for large-scale AI infrastructure. "With this launch, we are democratising access to large-scale GPU clusters and SuperPODs, making them straightforward, transparent and purpose-built for enterprises that have AI ambitions," Somani said. He added that ESDS's GPU SuperPODs "fundamentally change that narrative by delivering predictable performance, stability and scale." "To empower customers even further, we created the SuperPOD Configurator tool that lets businesses choose their GPU model, design their cluster and instantly gain visibility into the architecture and cost." At the core of the offering is a lineup of high-performance GPU systems, including NVIDIA DGX and HGX B200, B300, GB200 and the NVL72 architecture, along with AMD's MI300X platforms.