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GPU as a Service, Hybrid Cloud Colocation, and Jaipur Colocation Guide

Cyfuture Cloud offers GPU as a Service (GPUaaS) for on-demand access to NVIDIA H100 and L40s GPUs, enabling scalable AI and ML workloads without hardware ownership. Hybrid Cloud Colocation combines Cyfuture Cloud's secure colocation facilities with public/private cloud resources for seamless workload mobility and cost efficiency. The Jaipur Colocation Guide highlights their MeiTy-empaneled, Tier III data center in Jaipur, providing reliable rack space, power redundancy, and high-performance connectivity for businesses seeking low-latency infrastructure.​

Comprehensive Guide to Cyfuture Cloud Services

Cyfuture Cloud delivers integrated solutions across GPU as a Service, Hybrid Cloud Colocation, and specialized Jaipur facilities, empowering enterprises with flexible, high-performance infrastructure tailored for AI-driven innovation and hybrid IT strategies.​

GPU as a Service: Powering AI Acceleration

Cyfuture Cloud's GPUaaS provides instant access to enterprise-grade NVIDIA H100 GPUs starting at $2.34/hour and L40s at $0.57/hour, supporting AI training, inference, and HPC tasks with up to 60% cost savings over on-premises hardware. Businesses can scale from single instances to multi-GPU clusters via one-click deployment, pre-configured with TensorFlow, PyTorch, and CUDA libraries for 5x faster model deployment. Models include on-demand, reserved, spot, dedicated, and serverless options, ensuring flexibility for startups to enterprises while maintaining 99.9% uptime and SOC 2 compliance.​

Key benefits encompass cost efficiency through pay-as-you-go pricing, instant scalability without CapEx, and global data center access for low-latency operations. Cyfuture Cloud's architecture uses Kubernetes for multi-tenant isolation and MIG technology for secure resource slicing, ideal for multi-tenant AI workloads.​

Hybrid Cloud Colocation: Seamless Integration

Hybrid Cloud Colocation at Cyfuture Cloud merges colocated private infrastructure with public cloud services, offering unified management consoles for workload orchestration across environments. This setup enables automated mobility, placing sensitive data in secure colocation while bursting to public clouds for scalability, reducing latency and ensuring compliance. Features include advanced security layers, cost-optimized pricing based on power, bandwidth, and consumption, plus expert migration support.​

Organizations gain improved security via physical data center protections, cost efficiency from shared facilities, and high performance through direct cloud interconnects. Use cases span financial services for low-latency transactions, healthcare for compliant data handling, and e-commerce for traffic spikes.​

Jaipur Colocation Guide: Strategic Tier III Facility

Cyfuture Cloud's Jaipur data center, operational since 2010 and MeiTy-empaneled as Tier III, spans up to 200 racks across 10,000 sq ft with dual power feeds, VESDA fire suppression, and 99.95% uptime. It supports colocation for servers and applications with 24/7 monitoring, scalable bandwidth, and proximity to key networks for reduced latency. Ideal for Delhi-NCR adjacent operations, it offers full rack power up to dual 6 Amps and robust HV substation backups.​

Businesses choose Jaipur for cost-effective expansion, regulatory compliance, and hybrid setups linking to Cyfuture Cloud's broader ecosystem, including GPU resources. The facility emphasizes energy-efficient UPS and high-spec connectivity without premium pricing.​

Feature

GPU as a Service

Hybrid Cloud Colocation

Jaipur Colocation

Scalability

Instant GPU clusters ​

Workload mobility across clouds ​

Rack/cage expansion ​

Cost Model

Pay-per-use from $0.57/hr ​

Flexible power/bandwidth ​

Shared infrastructure savings ​

Security

SOC 2, isolation ​

Multi-layer compliance ​

Tier III physical redundancy ​

Uptime

99.9% SLA ​

Geodiverse redundancy ​

99.95% with dual feeds ​

Conclusion

Cyfuture Cloud's GPU as a Service, Hybrid Cloud Colocation, and Jaipur facility create a powerful ecosystem for modern IT, delivering cost savings, scalability, and reliability for AI and hybrid workloads. Enterprises achieve optimal performance by leveraging these integrated solutions without infrastructure burdens.​

Follow-up Questions & Answers

Q: What GPU models does Cyfuture Cloud offer?
A: NVIDIA H100 for high-demand training ($2.34/hr) and L40s for efficient workloads ($0.57/hr), plus A100, V100, T4, AMD MI300X, and Intel GAUDI 2.​

Q: How does Hybrid Cloud Colocation integrate with public clouds?
A: Through unified consoles, automated mobility, and direct connectivity for seamless switching based on compliance and performance needs.​

Q: What makes Jaipur colocation suitable for hybrid setups?
A: Tier III certification, redundant power, scalable racks, and strategic location enable low-latency links to Cyfuture Cloud's GPU and cloud services.​

Q: Can workloads migrate to Cyfuture Cloud easily?
A: Yes, with specialized automation tools and minimal disruption support for existing infrastructure.​

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