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How can I get pricing for GPU as a Service?

Here's a straightforward guide to obtaining accurate, customized pricing for Cyfuture Cloud's GPU as a Service (GPUaaS), designed for AI, machine learning, rendering, and high-performance computing workloads.

To get GPUaaS pricing from Cyfuture Cloud:

1. Visit the Official Pricing Page: Head to Cyfuture Cloud Pricing for on-demand rates starting at ₹X/hour for entry-level GPUs like NVIDIA A10, scaling to enterprise options like H100 at higher tiers.

2. Request a Custom Quote: Use the Quote Request Form or email [email protected]

3. with your specs (e.g., GPU model, duration, storage needs).

4. Live Chat or Call: Access 24/7 support via website chat or call +91-120-485-1234 for instant quotes.

5. Calculator Tool: Try the GPU Pricing Calculator for instant estimates based on configuration.

Pricing is flexible with pay-as-you-go, reserved instances (up to 40% savings), and volume discounts. Expect responses within 24 hours for quotes.

Understanding GPU as a Service at Cyfuture Cloud

Cyfuture Cloud offers scalable GPUaaS powered by NVIDIA GPUs, ideal for training large language models, video rendering, simulations, and data analytics. Unlike traditional cloud providers, Cyfuture focuses on India-based data centers in Noida and Mumbai, ensuring low latency for APAC users, compliance with local data sovereignty laws (e.g., DPDP Act), and competitive pricing in INR without forex fluctuations.

GPUaaS eliminates upfront hardware costs, letting you spin up instances in minutes. Options include:

- Spot Instances: Cheapest for interruptible workloads (up to 70% off on-demand).

- On-Demand: Flexible hourly billing.

- Reserved: 1-3 year commitments for predictable savings.

Key GPU models available:

GPU Model

VRAM

Use Case

Starting Price (₹/hour)

NVIDIA A10

24GB

Inference, Rendering

50

NVIDIA A100

40/80GB

ML Training

150

NVIDIA H100

80GB

Large-Scale AI

500+

NVIDIA L40S

48GB

VFX, Gaming

120

Prices exclude taxes/VAT; subject to change. Always verify via official channels.

Step-by-Step Guide to Requesting Pricing

Getting precise pricing is quick and tailored to your needs. Follow these steps:

1. Assess Your Requirements: Determine GPU type (e.g., A100 for deep learning), vCPU/RAM needs, storage (NVMe SSD up to 10TB), and duration. Tools like NVIDIA's NGC catalog help benchmark.

 

2. Use the Self-Service Pricing Calculator:

- Navigate to Cyfuture's dashboard after free sign-up.

- Input parameters: Select region (India DC), GPU count (1-100+), add-ons like InfiniBand networking.

- Get real-time estimates, including bandwidth (up to 400Gbps) and egress costs (₹1/GB).

 

3. Submit a Quote Request:

- Fill the form with workload details, expected usage (hours/month), and team size.

- Attach RFP if enterprise-scale.

- Sales team responds with a personalized proposal, often including PoC credits (free trial up to 100 GPU-hours).

 

4. Engage Support Channels:

- Live Chat: Instant quotes for standard configs.

- Phone/Email: For complex needs like multi-region failover or HIPAA/GDPR compliance.

- Partner Portal: Resellers get volume tiers (10%+ discounts for 100+ GPUs).

 

5. Review and Negotiate:

- Quotes include SLAs (99.99% uptime), support tiers (24/7 enterprise), and migration assistance.

- Negotiate for bundles (GPU + Kubernetes orchestration via Cyfuture's OpenShift).

Pro Tip: Mention if you're migrating from AWS/GCP—Cyfuture offers matching credits for the first 3 months.

Factors Influencing GPUaaS Pricing

Pricing varies based on:

- GPU Model and Quantity: Premium H100 clusters cost more but deliver 5x faster training.

 

- Commitment Length: Reserved saves 30-60%; spot for dev/test.

 

- Add-Ons: High-speed networking (₹10k/month), auto-scaling, or managed Ray/Kubeflow.

 

- Region/Usage: India DCs are 20-40% cheaper than US/EU equivalents.

 

- Promotions: Check for festive deals or startup programs (up to 50% off for first year).

 

Example: A 4x A100 cluster for 100 hours/month might quote at ₹60,000 on-demand vs. ₹36,000 reserved.

Benefits of Cyfuture GPUaaS Pricing Model

Cyfuture stands out with transparent, no-hidden-fee pricing:

- Cost Efficiency: 30% lower than hyperscalers due to local ops.

 

- Scalability: From single GPU to 1000+ node clusters.

 

- Security: ISO 27001 certified, with GPU passthrough for encrypted workloads.

 

- Support: India-based team for <15min response times.

 

Users report 2-3x faster ROI on AI projects compared to legacy setups.

Conclusion

Securing GPUaaS pricing from Cyfuture Cloud is simple—leverage their calculator for quick estimates or contact sales for bespoke quotes tailored to your workload. With competitive rates, India-centric infrastructure, and robust support, it's an optimal choice for cost-effective GPU acceleration. Start today to unlock high-performance computing without capital expense. For the latest details, visit 

cyfuture.cloud/gpu .

Follow-Up Questions with Answers

Q: What are the minimum commitment periods for reserved instances?
A: Reserved instances start at 1 month for spot-like savings, up to 3 years for maximum discounts (40-60%). No long-term lock-in for on-demand.

Q: Is there a free trial for GPUaaS?
A: Yes, new users get 20-100 free GPU-hours via PoC program. Sign up and request via support.

Q: How does pricing compare to AWS or GCP?
A: Cyfuture is 25-50% cheaper for equivalent NVIDIA GPUs, with no data transfer fees within India.

Q: Can I get pricing for custom GPU clusters?
A: Absolutely—email sales with specs for a quote within 24 hours, including bare-metal server options.

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