The introduction of advanced GPU as a service (GPUaaS) by ESDS Software Solution is a massive advancement in the domain of AI services in India. This offering is anchored by cutting-edge Nvidia and AMD GPUs.
ESDS innovatively created a new specialized sovereign GPU cloud that empowers commercial enterprises, BFSI sector institutions, research organizations, and government agencies within the data-residency rules in India the ability to manage ultra-computing capabilities in order to facilitate large-scale deployment of AI, ML, and Generative AI.
ESDS has a vision to make enterprise-level GPU computing more widely available and is committed to accelerating AI development by implementing a unique strategy of deploying integrated systems in the DGX and HGX classes and combining them with various systems.
ESDS Launches High-Power NVIDIA & AMD GPU Services for AI
Accelerating the advancement of technologies associated with Artificial Intelligence (AI), Machine Learning (ML), Generative Artificial Intelligence (GAI), and Large Language Models (LLM), ESDS Software Solution (ESDS) has launched a state-of-the-art Graphics Processing Unit (GPU) as a Service (GPUaaS).
All these are powered by the technology of Nvidia and AMD.
The advancement of the service reinforces ESDS’s capabilities and reputation as a certifiable cloud, data center infrastructure, and managed services provider.
What’s Inside the advanced GPU infrastructre
- ESDS will provide access to NVIDIA’s DGX and HGX systems (B200, B300, GB200, NVL72 architecture) and AMD’s MI300X platforms.
- The architecture features GPU SuperPODs integrated to provide NVLink, shared memory, multi-level schedulers, thermal systems, and orchestration for AI.
This combination of features allows for the training of enormous models, fast inference, simulation, and the handling of large volumes of clustered data while maintaining performativity consistency.
Comprehensive GPU Services Designed for Enterprise Needs
The GPU as a Service offering from ESDS goes beyond hardware to a range of services that include:
- Advisory functioning as design consultants for proprietary GPU clusters.
- Complete supply chains, including deployment and operational management, for GPU ecosystems.
- Specific infrastructure offered as GPU IaaS, hybrid CPU plus GPU cloud, as well as managed GPU cloud services.
- All management services for the racks, including but not limited to network optimization, container orchestration, fine-tuning for performance, and round-the-clock AI and ML supervised operational management.
In addition, ESDS has launched a SuperPOD Configurator, a design tool for self-service GPU clusters, enabling users to choose among various GPU models and memory/storage options and compute density and interconnect options, to receive immediate performance and monetary estimates.
Target Users: Enterprises, Research Institutions, BFSI & Government
This innovation is advantageous for:
- Businesses Creating AI and ML or GenAI Applications
- Research Institutions Engaged in Major ML and AI Initiatives
- Banking & Financial Services Companies in Need of High-Performance Computing for Analytic or Fraud Detection
- Government Agencies Desiring Sovereign and hack-proof AI Infrastructure
According to EDS, the initiative responds to the growing need for wide-ranging sovereign GPU technologies.
What This Means for India’s AI Ecosystem and Cloud Infrastructure
This innovation is advantageous for:
Research Institutions EngDemocratizing high-performance AI infrastructure:
With flexible GPU as a service, ESDS allows smaller companies, research labs, and smaller institutions to gain access to powerful AI computing that was previously unattainable without massive capital or long commitments.
For BFSI and Government Sectors Sovereign compliance and data security: For BFSI and Government Sectors:
Offering localised GPU infrastructure enables data residency and security compliance required by sensitive workloads in BFSI and Government sectors.
Scaling Accelerated AI Adoption:
With SuperPODs and managed services, clients can get going with their AI, ML, and Generative AI projects in a seamless manner without having to deal with complicated infrastructure.
Lower barrier for experimentation:
With much sought-after configurable tools and a GPU cloud, the lowering of infrastructure costs and upfront investment along with reduced risk, enables organizations to experiment with a plethora of capabilities involving large models, AI training, and data-rich, complex workloads.
ESDS’s launch timing appears to be well aligned with the rising global expenditure on AI-optimized servers and accelerators and the growing demand for scalable AI infrastructure.aged in Major ML and AI Initiatives
Banking and Financial Services Companies in Need of High-Performance Computing for Analytic or Fraud Detection
Government Agencies Desiring Sovereign and hack-proof AI Infrastructure
According to EDS, the initiative responds to the growing need for wide-ranging sovereign GPU technologies.
Why This Update Matters for Tech Sector Watchers and Investors
Signals the expansion of AI infrastructure capabilities in India
This move by ESDS demonstrates the growing maturity and readiness of local tech infrastructure providers to support large-scale AI and cloud workloads.
Potential for increased demand in the GPU as a service market
As enterprises and governments are adopting AI strategies, demand for GPU infrastructure may rise potentially, influencing valuations and growth prospects of firms like ESDS.
Driving Innovation Across India’s Business and Research Landscape
Having access to enterprise-grade GPU clusters without the need to export data or depend on foreign clouds now enables firms to utilize on-site servers. This accelerates compliance benefits for Indian organizations compared to their global counterparts.
Way Ahead: What to Watch
- The Acceptance of ESDS GPUaaS within Enterprises, BFSI, Research Institutions, and Public Sector
- The Rise of Multi-Cloud AI Workloads within the Indian domain, from Training, Inference to Generative AI.
- The Growth of GPU Infrastructure Services (Including Newer Generations of GPU Microarchitectures) over time.
- The rise of GPUaaS within BFSI, Research Institutions, & Public Sector
- Evolution of the Domestic Cloud and AI Infrastructure Competitors
Conclusion
The introduction of ESDS’s Nvidia and AMD-powered GPU as a service platform is a landmark achievement for the growing AI infrastructure ecosystem in India.
ESDS has positioned itself to become one of the most important facilitators of large scale AI, ML, and generative AI development across a multitude of industries by providing sovereign-grade GPU cloud capabilities, diverse deployment options, and enterprise managed services.
ESDS’s introduction of GPU SuperPODs, new orchestration tools, and the innovative self-service configurator enable these organizations to engage in and self-fund the acceleration of innovation.
FAQs
Q1-What is ESDS’s New GPU-as-a-Service Platform?
ESDS’s GPU-as-a-Service is a one-of-a-kind virtual GPU service with a focus on Nvidia and AMD. This service assists with the processing and workload management for various AI, Machine Learning, Generative AI, and other high-performance computing tasks.
The service includes the provision and supervision of complete SuperPODs, full sets of GPX and hybrid GPX computing systems, and other equipment for the Banking, Financial Services, and Insurance, as well as for the research and governmental agencies.
Q2-How will ESDS’s GPU cloud benefit AI and ML developers?
ESDS’s GPU-as-a-Service is a one-of-a-kind virtual GPU service with a focus on Nvidia and AMD. This service assists with the processing and workload management for various AI, Machine Learning, Generative AI, and other high-performance computing tasks.
This service includes the provision of and management of entire SuperPODs, complete sets of GPX and hybrid GPX computer systems, and other devices for the Banking, Financial Services, and Insurance sector, as well as for research and governmental institutions.
Q3-Which hardware powers the ESDS GPU cloud?
ESDS GPU cloud employs the systems and hardware for Nvidia’s DGX and hybrid GPU Groover with the B200/B300, and GB200, NVL72, and AMD MI300X, to ensure adequate performance for large-scale AI and Generative AI workloads.
These systems provide a high level of consistent memory, speedy communications, and expandable clusters of GPUs, which are critical resources for the performance of AI systems.
Q4-What industries can make use of ESDS’s GPU services?
A variety of industries can make use of ESDS’s GPU services, including BFSI, healthcare, educational and research institutions, manufacturing, and government.
Organizations that conduct the following activities are eligible for the use of on-demand, GPU computing, AI analytics, predictive analytics, training images, model simulations, LLM training, and other forms of workload simulations.
Q5-Why does it matter that ESDS provides a GPU cloud that is Sovereign?
A GPU cloud that is Sovereign means data is kept within the Indian borders, and so regulatory and data-residency obligations are satisfied. This is especially true for sectors such as BFSI, government, and healthcare, as sensitive data must not be processed on overseas servers.
Sovereign infrastructure also further improves security and provides reassurance to organizations that the AI technology being adopted is safe.
Q6-What benefits does the ESDS SuperPOD Configurator provide to users?
SuperPOD Configurator empowers users to create tailored GPU configurations, allowing them to select their preferred GPU models, memory sizes, interconnect choices, and compute density.
This helps users from enterprises get better infrastructure planning as SuperPOD Configurator provides real-time estimates for cost and performance. This, in turn, helps decrease gambles and refine overall AI investments.
Q7-What kind of help and support does ESDS give companies to help them set up AI workloads?
ESDS is ready to help with all of the building blocks, such as designing the architecture, deploying the clusters, orchestrating the containers, tuning the performance, and 24×7 monitoring.
Enterprises can choose from fully managed GPU cloud services, dedicated GPU infra, or hybrid deployments, as each has something to offer based on their workloads.
Q8-What is the connection of Polymatech to the Semiconductor and AI ecosystem of India?
Being the biggest semiconductor player in India, Polymatech has great importance in bolstering the supply chain of Electronics and AI Hardware in India.
While ESDS is concentrating on AI computing and cloud infrastructure, Polymatech is developing specialized semiconductor components and focusing on the upstream part of the ecosystem.
These kinds of things show India is getting serious about designing and building their own technology ecosystem.
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The service includes the provision and supervision of complete SuperPODs, full sets of GPX and hybrid GPX computing systems, and other equipment for the Banking, Financial Services, and Insurance, as well as for the research and governmental agencies.
Disclaimer:
This article is for informational purposes only and should not be considered investment advice. Prices and data of unlisted shares are based on publicly available sources and may vary. Investors are advised to conduct independent research or consult financial professionals before making investment decisions.
