What is the starting price for GPU as a Service at Cyfuture AI?

GPU as a Service at Cyfuture AI starts from â¹39 per hour, offering enterprise-grade NVIDIA GPUs including V100, A100, H100 and L40s.

Can I scale GPU resources as needed?

Yes, Cyfuture AI GPU as a Service allows you to scale compute resources up or down based on your workload requirements with no long-term commitments.

GPU as a Service India | Rent H100, A100 & L40S GPUs On-Demand| Cyfuture AI

Q: What is GPU as a Service?

GPU as a Service (GPUaaS) is a cloud computing model where users can rent GPU compute power on-demand without owning physical hardware, ideal for AI/ML workloads.

Full GPU Lineup

Every NVIDIA GPU. One cloud platform.

Rent NVIDIA GPU on cloud — from a fractional V100 for dev work to a 128× H100 NVLink cluster for frontier pre-training. Pick your GPU, launch in 60 seconds, pay by the hour.

Flagship · NVIDIA H100

H100

Hopper · TSMC 4N · 80B transistors · SXM5

$ 3.66 /hr

On-demand · Billed hourly · Reserved from $2.43/hr

Launch H100 →

Perfect for

Frontier LLM pre-training

30B–500B parameter models, FP8 native
Long-context inference

128K+ token windows, low TTFT
Multimodal & vision models

Diffusion, Whisper, SAM, ViT-G/H

Workhorse · NVIDIA A100

A100

Ampere · TSMC 7nm · SXM4 · MIG

Memory80 GB HBM2e
Bandwidth2.0 TB/s
FP16 Tensor624 TFLOPS
MIG SlicesUp to 7×

$ 2.20 /hr

Most rented · From $2.08/hr reserved

Launch A100 →

Inference · NVIDIA L40S

L40S

Ada Lovelace · PCIe · FP8 native

Memory48 GB GDDR6
Bandwidth864 GB/s
FP8 Tensor1,457 TFLOPS
Best forInference & ViT

$ 1.38 /hr

Best $/TFLOP · From $0.68/hr reserved

Launch L40S →

Budget · NVIDIA V100

V100

Volta · SXM2 · 32 GB HBM2

Memory32 GB HBM2
FP16 Tensor125 TFLOPS
Best forDev & Prototyping
NVLink2.0 · 300 GB/s

$ 0.60 /hr

Lowest entry · From $0.43/hr reserved

Launch V100 →

Coming Soon

Next-Gen · NVIDIA H200

H200

Hopper · HBM3e · 141 GB · 4.8 TB/s bandwidth — 2× the memory of H100

Memory141 GB HBM3e
Bandwidth4.8 TB/s
FP8 Tensor3,958 TFLOPS
Ideal forFrontier LLMs 70B+

Join Waitlist →

Built for every AI workload

What you can run today

From fine-tuning open-source LLMs to training frontier models and running HPC simulations — Cyfuture AI GPUs cover the full spectrum.

LLM Pre-Training

Train frontier models without leaving India

Scale from 8× H100 on a single node to 128× H100 clusters over InfiniBand. Cyfuture AI's NVLink-connected nodes run NCCL-optimised topology across Tier III+ data Centers — DPDP-compliant for Indian workloads, with global capacity available on request. Pair with GPU Clusters for managed multi-node orchestration.

Megatron-LM DeepSpeed ZeRO FSDP InfiniBand DPDP Compliant

Production Inference

Low-latency inference at any scale

vLLM, TensorRT-LLM, and Triton are pre-configured on every instance. The L40S GPU gives you FP8 native throughput for 7B–34B models at the best dollar-per-TFLOP ratio in our fleet. Or skip the DevOps entirely and use Inferencing as a Service — pay per token, auto-scale to zero, no GPU management required.

vLLM TensorRT-LLM Triton FP8 Native Auto-scaling

Fine-Tuning

Fine-tune any open-source LLM in hours

LoRA, QLoRA, and full fine-tuning of Llama 3, Mistral, Qwen, Falcon, and DeepSeek run natively on A100. The 2× A100 config (160 GB pooled VRAM) fits a 70B model in INT4 with no offloading. Launch a job from our dashboard, connect MLflow/W&B, or use the no-code Fine-Tuning Studio to skip the boilerplate.

Llama 3.3 Mistral Qwen 2.5 LoRA / QLoRA Axolotl

Fractional GPU / MIG

One GPU, seven isolated workloads

NVIDIA Multi-Instance GPU (MIG) lets you partition a single A100 into up to 7 hardware-isolated slices — each with its own VRAM, SM compute, and cache. Ideal for startups running multiple dev environments, Jupyter servers, or multi-tenant inference APIs. Starts at just $0.37/hr — the cheapest way to rent NVIDIA GPU capacity on cloud.

7× isolation From $0.37/hr Hardware-level Zero cross-tenant

GPU Comparison

Find your right GPU

Every NVIDIA GPU Cyfuture AI offers, side by side — so you can stop reading benchmarks and start shipping.

	H100 Hopper · HBM3	A100 Ampere · HBM2e	L40S Ada · GDDR6	V100 Volta · HBM2
Memory	80 GB HBM3	80 GB HBM2e	48 GB GDDR6	32 GB HBM2
Mem Bandwidth	3.35 TB/s	2.0 TB/s	864 GB/s	900 GB/s
FP16 Tensor	1,979 TFLOPS	624 TFLOPS	733 TFLOPS	125 TFLOPS
FP8 Tensor	3,958 TFLOPS	—	1,457 TFLOPS	—
NVLink	4.0 · 900 GB/s	3.0 · 600 GB/s	—	2.0 · 300 GB/s
MIG Partitioning	7× slices	7× slices	—	—
On-Demand Price	$3.66/hr	$2.20/hr	$1.38/hr	$0.60/hr
Best for	Pre-training 30B+	Fine-tuning ≤13B	FP8 Inference	Dev / Prototyping

Platform stats

Why teams trust Cyfuture AI

The numbers behind a world-class GPU cloud — not marketing fluff.

<60seconds

From console click to SSH-ready GPU instance, every time, guaranteed.

99.95% SLA

Uptime SLA with capacity priority for reserved customers during peak windows.

4,800+ teams

Active AI teams running workloads on Cyfuture AI infrastructure this week.

Global regions

Tier III+ certified data Centers across multiple continents — pick the region closest to your users.

4 GPU types

H100, A100, L40S, and V100 — all NVIDIA. H200 launching Q3 2026.

CUDA 11 & 12

Both CUDA generations supported natively with PyTorch, TF, JAX, vLLM pre-built.

MeitY Empanelled

Government-approved cloud with DPDP, ISO 27001, SOC 2 Type II, and GDPR-ready controls.

Hourly billing

Pay only for what you use — billed by the hour with no platform fees, no egress charges, and no hidden surprises.

Trusted by Industry leaders

FAQs: GPU Clusters

The power of AI, backed by human support

At Cyfuture AI, we combine advanced technology with genuine care. Our expert team is always ready to guide you through setup, resolve your queries, and ensure your experience with Cyfuture AI remains seamless. Reach out through our live chat or drop us an email at [email protected] - help is only a click away.

What is GPU as a Service and how does Cyfuture AI offer it?

GPU as a Service (GPUaaS) means you rent GPU compute on cloud on-demand — no hardware purchase, no colocation, no long-term commitment. Cyfuture AI lets you rent NVIDIA GPU instances powered by H100, A100, L40S, and V100, accessible via cloud dashboard, CLI, or API. You pay by the hour from $0.60/hr (V100) to $3.66/hr (H100). Instances are provisioned in under 60 seconds with your chosen OS image (Ubuntu, Rocky Linux) and ML stack pre-installed. Reserved capacity (6-month or 12-month) drops H100 to as low as $2.43/hr.

Which GPU should I choose for my workload?

Quick guide: V100 — dev, prototyping, small models (≤7B). L40S — production FP8 inference on 7B–34B models; best $/TFLOP ratio. A100 — fine-tuning (LoRA/QLoRA) on 7B–70B models; production inference ≤30B; HPC/scientific. H100 — pre-training 30B+ models; long-context (128K+) workloads; frontier-scale inference. If you're unsure, start with A100 — it handles 80% of AI team needs at a comfortable price point.

How is billing calculated? Are there hidden fees?

Billing is hourly with a 1-hour minimum. No platform fees, no egress fees inside a region, no licence fees for pre-built ML stacks. Storage is billed separately ($0.05/GB/month). Reserved instances (1-month, 6-month, or 12-month) get up to ~35% off on-demand pricing plus capacity priority. Pay in USD via credit card, wire transfer, or invoice. Taxes are added per jurisdiction as a separate line item.

Can I run multi-node distributed training?

Yes. Single-node configurations go up to 8× H100 or 8× A100 with full NVLink mesh. Multi-node training across 2–128 GPUs is available over 100/200 Gbps Ethernet (standard) or 200/400 Gbps InfiniBand (Enterprise tier). NCCL and MPI are pre-configured for our network topology. For clusters above 32 GPUs, contact our enterprise team for dedicated fabric and capacity reservation.

What ML frameworks and software stacks are available?

Pre-built Docker images for: PyTorch 2.x, TensorFlow 2.x, JAX, vLLM, TensorRT-LLM, NeMo, RAPIDS, DeepSpeed, Axolotl, and Triton Inference Server. CUDA 11.8, 12.1, 12.4 all available. BYO container images via Docker Hub or NGC. Jupyter Lab accessible via browser. VS Code Server and SSH both supported.

What other AI products does Cyfuture AI offer beyond GPU on cloud?

Beyond raw GPU rental, Cyfuture AI runs a full-stack AI platform: Inferencing as a Service (pay-per-token model serving), Fine-Tuning Studio (no-code LoRA/QLoRA on Llama, Mistral, Qwen), GPU Clusters (managed multi-node InfiniBand clusters), AI Notebooks (Jupyter on rented NVIDIA GPUs), Model Library (curated open-source models), and AI Agents for production agentic workflows. Mix-and-match — rent GPUs directly when you need control, use the managed services when you don't.

Is Cyfuture AI suitable for enterprise and regulated workloads?

Yes. Cyfuture AI is ISO 27001 certified, SOC 2 Type II audited, and GDPR-ready. Data residency controls let you pin workloads to a specific region. NDA and MSA available for enterprise customers. Dedicated private tenancy and bare-metal nodes available on request. For Indian government and regulated workloads, Cyfuture AI is also MeitY-empanelled and DPDP-compliant.

What support is available if something goes wrong?

Standard plans include email and ticketing support with 8-hour SLA. Business plans include priority support with 2-hour SLA. Enterprise includes 24×7 phone and dedicated Slack channel with a named account engineer. Follow-the-sun coverage with on-call SREs across IST, EST, and GMT time zones. Average first response time on Business tier: 34 minutes.

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What you can run today