GPU as a Service and Hybrid Cloud Colocation Jaipur Data Center

Cyfuture Cloud offers GPU as a Service (GPUaaS) combined with hybrid cloud colocation at its MeiTy-empaneled, Tier III Jaipur Data Center, enabling businesses to rent scalable NVIDIA GPU resources on-demand while hosting dedicated hardware in a secure, low-latency facility for AI, ML, and high-performance computing workloads.​

Comprehensive Overview

Cyfuture Cloud's GPU as a Service provides access to powerful NVIDIA GPUs through a flexible cloud model, allowing users to scale from single instances to multi-GPU clusters without upfront hardware costs. This service supports AI training, inference, and HPC tasks with pre-configured environments featuring optimized libraries, reducing deployment time by up to 5x compared to traditional setups. At the Jaipur Data Center, a Tier III facility operational since early phases in 2010, hybrid cloud colocation integrates these GPU resources with physical server hosting, offering redundant power, advanced cooling, VESDA fire suppression, and 24/7 monitoring for 99.99% uptime.​

The hybrid model combines colocation's control—retaining ownership of servers in Cyfuture Cloud's secure Jaipur racks—with cloud agility, enabling seamless workload mobility between private hardware and public GPUaaS. Businesses benefit from cost savings up to 60% versus on-premises infrastructure, Multi-Instance GPU (MIG) for multi-tenant isolation, and Kubernetes orchestration for efficient resource sharing. Jaipur's strategic location ensures low-latency access for India-based operations, with dual power feeds, high-density racks (up to 200 racks/10,000 sq ft), and compliance for mission-critical applications. This setup supports dynamic scaling: burst to cloud GPUs during peak AI demands while keeping sensitive data on colocated servers.​

Key Benefits and Features

- Scalability and Flexibility: Rent GPUs on-demand via Cyfuture Cloud's platform, provisioning clusters in minutes for AI/ML projects; hybrid colocation adds rack space (full racks with dual 6A power) for custom hardware integration.​

- Performance and Security: Tier III Jaipur facility delivers low-latency GPU acceleration with enterprise-grade isolation, AI-ready frameworks, and compliance standards like MeitY empanelment.​

- Cost Efficiency: Pay-per-use GPUaaS avoids CapEx; colocation optimizes OpEx with shared data center efficiencies and cloud failover for resilience.​

- AI-Optimized Workflow: One-click deployment of NVIDIA GPU clusters supports multi-tenant workloads via MIG slicing and seamless hybrid connectivity to major public clouds.​

Cyfuture Cloud's Jaipur setup empowers enterprises in e-commerce, finance, and tech to handle intensive workloads like deep learning while maintaining data sovereignty.​

Conclusion

Cyfuture Cloud's GPU as a Service and hybrid cloud colocation at the Jaipur Data Center deliver a powerful, integrated solution for modern IT—balancing GPU-powered AI innovation with reliable, controlled infrastructure for sustained business growth.​

Follow-up Questions & Answers

Q1: What NVIDIA GPUs are available in Cyfuture Cloud's GPUaaS?
A: Cyfuture Cloud provides access to high-performance NVIDIA GPUs optimized for AI/ML, including clusters for training and inference, with flexible on-demand provisioning.​

Q2: Is the Jaipur Data Center suitable for compliance-heavy industries?
A: Yes, as a MeiTy-empaneled Tier III facility, it offers robust security, redundancy, and 24/7 monitoring ideal for regulated sectors like banking and government.​

Q3: How does hybrid colocation work with GPUaaS?
A: Colocate servers in Jaipur for core apps, then dynamically connect to Cyfuture Cloud's GPUaaS for burst capacity, ensuring seamless integration via unified management.​

Q4: What are the pricing models?
A: Transparent, pay-as-you-go for GPUs and customizable colocation plans, reducing costs by up to 60% without hardware ownership.​