Cloud Service >> Knowledgebase >> GPU >> Can I request a proof of concept using H100 A100 or H200 GPUs?
submit query

Cut Hosting Costs! Submit Query Today!

Can I request a proof of concept using H100 A100 or H200 GPUs?

Yes, Cyfuture Cloud allows customers to request Proof of Concept (PoC) trials using NVIDIA H100, A100, or H200 GPUs. These high-performance GPUs are available in our GPU cloud infrastructure for testing AI, machine learning, and high-performance computing (HPC) workloads. Contact our sales team via the PoC request form or email [email protected] to initiate. Trials typically last 7-14 days, subject to availability and approval.

Cyfuture Cloud specializes in scalable GPU-accelerated cloud services, powering enterprises with cutting-edge NVIDIA hardware. Our platform supports seamless PoC deployments to validate performance before full-scale commitment.

What is a Proof of Concept (PoC)?

A PoC demonstrates whether a specific technology meets your needs. For GPUs like H100, A100, or H200, it involves provisioning virtual instances with these accelerators to run benchmarks, train models, or simulate production workloads. Cyfuture Cloud streamlines this: submit requirements, get approved, and launch in hours.

Availability of Requested GPUs

Cyfuture Cloud maintains a robust inventory:

- NVIDIA H100: Tensor Core GPUs with up to 80GB HBM3 memory, ideal for large language models (LLMs) and generative AI. Offers 4x faster inference than A100.

 

- NVIDIA A100: Versatile 40GB/80GB options for deep learning training and inference. Proven for frameworks like TensorFlow, PyTorch.

 

- NVIDIA H200: Latest Hopper architecture with 141GB HBM3e memory, excelling in memory-bound tasks like multi-modal AI.

All are available on-demand in single or multi-GPU configurations (up to 8x per node). Regions include India (Delhi, Mumbai) for low-latency access.

GPU Model

Memory

Key Strengths

PoC Use Cases

H100

80GB HBM3

High throughput, Transformer Engine

LLMs, diffusion models

A100

40/80GB HBM2e

Balanced training/inference

Computer vision, NLP

H200

141GB HBM3e

Massive memory capacity

Long-context models, simulations

How to Request a PoC

- Submit Form: Use our online portal, detailing workload (e.g., model size, framework, duration).

 

- Technical Review: Our engineers assess feasibility (e.g., queue times for high-demand H200).

 

- Provisioning: Deploy via Kubernetes or Terraform; access via SSH/Jupyter.

 

- Monitoring: Real-time metrics on GPU utilization, NVLink bandwidth.

 

- Debrief: Post-PoC report with costs, optimizations.

No upfront fees for qualified requests; billed only for extended use. Approval within 24-48 hours.

Benefits of Cyfuture PoCs

- Cost-Effective: Pay-per-use, no long-term lock-in.

- Scalable: Test from 1x to cluster-scale.

- Supported Software: Pre-installed CUDA 12.x, cuDNN, NCCL; containers for RAPIDS, Hugging Face.

- Enterprise Features: VPC isolation, HIPAA/GDPR compliance, 99.99% SLA.

Customers like AI startups and research labs have validated 2x speedups on H100 PoCs for fine-tuning GPT-like models.

Limitations and Best Practices

- Availability: H200 may have waitlists during peaks; A100/H100 more readily available.

- Duration: Standard 7 days; extendable.

- Quotas: Up to 4x GPUs initially; scale post-validation.

- Optimization Tips: Use FP8/FP16 precision; enable MIG for multi-tenancy.

For custom setups (e.g., InfiniBand networking), specify in request.

Why Choose Cyfuture for GPU PoCs?

As India's leading cloud provider, we offer competitive pricing (20-30% below hyperscalers), local data sovereignty, and 24/7 support. Over 500 PoCs delivered in 2025 alone, with 85% converting to production.

Conclusion

Requesting a PoC on H100, A100, or H200 GPUs is straightforward with Cyfuture Cloud, enabling risk-free evaluation of GPU power for your AI/HPC needs. Start today to accelerate your projects—our team ensures quick setup and actionable insights.

Follow-Up Questions

Q: What are the costs for a GPU PoC?
A: PoCs are free for the trial period (up to 14 days, limited hours). Post-trial usage is billed hourly: H100 ~₹150/hr, A100 ~₹100/hr, H200 ~₹200/hr (indicative; check dashboard for exacts).

Q: How long does approval take?
A: Typically 24 hours for standard requests; complex ones (e.g., 8x H200 clusters) up to 48 hours.

Q: Can I use my own AMIs or software stacks?
A: Yes, upload custom Docker images or AMIs. We provide NVIDIA NGC catalog for quick starts.

Q: What if the GPU is unavailable?
A: We'll notify and offer alternatives (e.g., L40S) or priority queuing. 95% fulfillment rate.

Cut Hosting Costs! Submit Query Today!

Grow With Us

Let’s talk about the future, and make it happen!