ESDS Software Solution Limited has launched a comprehensive GPU-as-a-Service platform designed to democratize access to high-performance GPU infrastructure for enterprises, financial institutions, research organizations, and government bodies running mission-critical AI and machine learning workloads.[1] The service addresses a critical market need, as global spending on AI-optimized servers including GPUs and accelerators is projected to reach approximately $329.5 billion in 2026, with nearly 80% of projected AI investments directed toward GPU infrastructure by 2030.[1] ESDS's GPU SuperPODs are engineered with advanced features including high-bandwidth NVLink connectivity, unified memory pools, intelligent scheduling, enhanced thermal management, and AI-optimized orchestration to ensure predictable performance at scale.[1] A standout feature of this launch is the SuperPOD Configurator tool, which allows enterprises to design their AI infrastructure with precision by selecting GPU models, customizing compute density, memory profiles, storage tiers, and interconnect options, while automatically generating performance estimates, recommended configurations, and transparent cost projections.[1] The full-spectrum service portfolio encompasses advisory and design consultancy for captive GPU clusters, end-to-end supply and deployment of GPU environments, dedicated GPU infrastructure-as-a-service, hybrid CPU+GPU cloud options, and on-demand managed GPU cloud services.[1] ESDS manages the complete operational stack from rack engineering and network optimization to container orchestration, performance tuning, and 24/7 monitoring with AI/ML operations service options.[1] A real-world case study demonstrates the platform's impact: a research laboratory reduced training time for a 50-billion-parameter model from over 40 days to just 10 days, achieved 60% cost reduction, and realized 30× faster inference with 4× shorter iteration cycles using ESDS's NVL72-based GPU infrastructure.[1] This launch positions ESDS as a sovereign-grade managed GPU provider delivering high-performance AI compute at global scale while maintaining infrastructure conceived, constructed, and optimized within India.[1] The company, trusted by over 1,300 clients across enterprise, BFSI, and government sectors, offers transparent pricing, flexible consumption models, deep compliance capabilities, and a unified cloud services layer integrating managed services, security, SaaS, PaaS, and colocation.[1] By addressing the complexity, ambiguity, and prohibitive costs that have historically hindered GPU infrastructure adoption, ESDS aims to enable organizations to build, train, and scale AI systems with confidence, cost efficiency, and enterprise-grade reliability.[1]
Why it matters:
- Addresses critical infrastructure gap in AI scaling by democratizing access to expensive, complex GPU clusters for enterprises and research institutions
- Positions India as a sovereign AI infrastructure provider while capitalizing on projected $329.5 billion global GPU market growth through 2026
Key Points
- ESDS launched GPU-as-a-Service with purpose-built GPU SuperPODs featuring NVLink connectivity, unified memory, and AI-optimized orchestration
- SuperPOD Configurator tool enables enterprises to design custom AI infrastructure with instant cost projections and performance estimates
- Real-world case study shows 75% reduction in training time and 60% cost savings for large-scale model training
- Service portfolio includes advisory, managed infrastructure, hybrid cloud options, and 24/7 MLOps monitoring
- Trusted by 1,300+ clients across enterprise, BFSI, and government sectors with transparent pricing and compliance capabilities
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Summary
ESDS Software Solution Limited has launched a comprehensive GPU-as-a-Service platform designed to democratize access to high-performance GPU infrastructure for enterprises, financial institutions, research organizations, and government bodies running mission-critical AI and machine learning workloads.[1] The service addresses a critical market need, as global spending on AI-optimized servers including GPUs and accelerators is projected to reach approximately $329.5 billion in 2026, with nearly 80% of projected AI investments directed toward GPU infrastructure by 2030.[1] ESDS's GPU SuperPODs are engineered with advanced features including high-bandwidth NVLink connectivity, unified memory pools, intelligent scheduling, enhanced thermal management, and AI-optimized orchestration to ensure predictable performance at scale.[1] A standout feature of this launch is the SuperPOD Configurator tool, which allows enterprises to design their AI infrastructure with precision by selecting GPU models, customizing compute density, memory profiles, storage tiers, and interconnect options, while automatically generating performance estimates, recommended configurations, and transparent cost projections.[1] The full-spectrum service portfolio encompasses advisory and design consultancy for captive GPU clusters, end-to-end supply and deployment of GPU environments, dedicated GPU infrastructure-as-a-service, hybrid CPU+GPU cloud options, and on-demand managed GPU cloud services.[1] ESDS manages the complete operational stack from rack engineering and network optimization to container orchestration, performance tuning, and 24/7 monitoring with AI/ML operations service options.[1] A real-world case study demonstrates the platform's impact: a research laboratory reduced training time for a 50-billion-parameter model from over 40 days to just 10 days, achieved 60% cost reduction, and realized 30× faster inference with 4× shorter iteration cycles using ESDS's NVL72-based GPU infrastructure.[1] This launch positions ESDS as a sovereign-grade managed GPU provider delivering high-performance AI compute at global scale while maintaining infrastructure conceived, constructed, and optimized within India.[1] The company, trusted by over 1,300 clients across enterprise, BFSI, and government sectors, offers transparent pricing, flexible consumption models, deep compliance capabilities, and a unified cloud services layer integrating managed services, security, SaaS, PaaS, and colocation.[1] By addressing the complexity, ambiguity, and prohibitive costs that have historically hindered GPU infrastructure adoption, ESDS aims to enable organizations to build, train, and scale AI systems with confidence, cost efficiency, and enterprise-grade reliability.[1]
Why It Matters
Addresses critical infrastructure gap in AI scaling by democratizing access to expensive, complex GPU clusters for enterprises and research institutions
Positions India as a sovereign AI infrastructure provider while capitalizing on projected $329.5 billion global GPU market growth through 2026
Key Points
- ESDS launched GPU-as-a-Service with purpose-built GPU SuperPODs featuring NVLink connectivity, unified memory, and AI-optimized orchestration
- SuperPOD Configurator tool enables enterprises to design custom AI infrastructure with instant cost projections and performance estimates
- Real-world case study shows 75% reduction in training time and 60% cost savings for large-scale model training
- Service portfolio includes advisory, managed infrastructure, hybrid cloud options, and 24/7 MLOps monitoring
- Trusted by 1,300+ clients across enterprise, BFSI, and government sectors with transparent pricing and compliance capabilities
Source: analyticsindiamag.com
Original Publish Date: 28/11/2025
Entities: ESDS Software Solution Limited, Piyush Somani (Promoter, Managing Director and Chairman), UAE (mentioned as deployment region)
