GPU as a Service

You're Ready for AI. Is Your Infrastructure Ready?

Most enterprises stall between AI pilot and production — not because the model isn't good enough, but because the infrastructure beneath it can't keep up. Cyfuture AI closes every gap.

82%

Enterprises blocked by infrastructure readiness gaps

60%

TCO reduction on managed GPU cloud vs. owned hardware

30×

Faster inference acceleration vs. CPU-only deployments

<60s

From console click to SSH-ready GPU instance

Common Infrastructure Gaps	How Cyfuture AI Closes the Gap
High upfront GPU hardware CapEx with slow ROI	Pay-per-hour GPU rental — zero CapEx, OpEx model
Fragmented, multi-vendor infra with no unified control plane	Single dashboard for all GPU instances, storage, and networking
Weeks of provisioning time killing iteration speed	Sub-60-second provisioning from console click to SSH-ready instance
Inability to scale GPU capacity on demand for burst workloads	Scale from 1 GPU to 128× H100 NVLink clusters on demand
No data residency or compliance controls for regulated workloads	MeitY-empanelled, DPDP-compliant, ISO 27001 — data stays in India

Every NVIDIA GPU You Need. One Platform. One Invoice.

From a single V100 for prototyping to a 128× H100 NVLink cluster for
frontier pre-training — all on Cyfuture AI's owned Tier III+ infrastructure in India.

NVIDIA H100

From $3.66/hr on-demand · Reserved from $2.43/hr

80 GB HBM3 · 3,958 TFLOPS FP8 · NVLink 4.0. Built for pre-training 30B–500B parameter models, 128K+ token long-context inference, and multimodal workloads. Scale to 128× nodes over InfiniBand.

Rent H100

NVIDIA A100

From $2.20/hr on-demand · Reserved from $2.08/hr

80 GB HBM2e · 624 TFLOPS FP16 · MIG partitioning (7 slices). The most-rented GPU on Cyfuture AI. Fine-tune Llama 3.3, Mistral, Qwen 2.5 with LoRA/QLoRA. 2× config gives 160 GB pooled VRAM — runs a 70B model in INT4, no offloading.

Rent A100

NVIDIA L40S

From $1.38/hr on-demand · Reserved from $0.68/hr (save 51%)

48 GB GDDR6 · 1,457 TFLOPS FP8. Pre-configured with vLLM and TensorRT-LLM. Sub-180ms P99 latency at 4,200+ tok/s on 7B–34B models — the most cost-efficient GPU for production inference.

Rent L40S

NVIDIA V100

From $0.60/hr on-demand · Reserved from $0.43/hr

32 GB HBM2 · 125 TFLOPS FP16. The lowest-cost way to rent NVIDIA GPU on cloud. Built for development, prototyping, academic research, and small model training.

Rent V100

NVIDIA B200

192 GB HBM3e • Next-gen Blackwell architecture with breakthrough memory bandwidth and efficiency. Ideal for large-scale LLM training, advanced inference, and enterprise AI workloads.

Rent B200

NVIDIA B300

Next-generation Blackwell Ultra GPU with higher compute density and memory capacity. Built for frontier AI, trillion-parameter models, and high-performance HPC at scale.

Rent B300

50%

Less Expensive

25x

Faster

50%

Reduction in Latency

03

Data Centres

Four Workloads. One Platform. Zero Compromise.

LLM Pre-Training

Scale from 8× H100 single-node to 128× H100 multi-node over InfiniBand. Megatron-LM and DeepSpeed ZeRO-3 pre-configured. DPDP-compliant — training data stays in India.

Production Inference

vLLM + TensorRT-LLM pre-installed on every L40S. 4,200+ tok/s. Sub-180ms P99. Or use Inferencing as a Service — pay per token, auto-scale to zero, no GPU management.

LLM Fine-Tuning

LoRA, QLoRA, and full fine-tuning of Llama 3.3, Mistral, Qwen 2.5 on A100. No-code option via Fine-Tuning Studio. MLflow and W&B integration included.

Fractional GPU / MIG

Partition one A100 into 7 hardware-isolated MIG slices — dedicated VRAM, compute, and cache per slice. Multi-tenant APIs or parallel dev environments from $0.37/hr.

Power Your AI with
Enterprise GPU as a Service

Access NVIDIA H100, H200, A100, L40S, and AMD MI300X GPUs on demand. Scale AI training, inference, and HPC workloads with flexible hourly pricing and enterprise-grade infrastructure.

Launch GPU

We Handle the Complexity. You Own the Outcomes.

Owned Infrastructure. No Reseller Markup.

We own and operate our Tier III+ data centers in India — not leased from AWS or Azure. Direct hardware access means faster provisioning, lower latency, and pricing that reflects real costs.

MeitY-Empanelled. Fully Compliant.

Authorised for Indian government and regulated enterprise workloads. ISO 27001, SOC 2 Type II, DPDP-compliant. Data residency controls keep workloads anchored in India.

Full AI Platform — Not Just GPU Rental.

Fine-Tuning Studio, Inferencing as a Service, GPU Clusters, RAG Platform, AI Agents — one platform for the entire AI lifecycle. Start with raw GPU control, graduate to managed services as you scale.

Transparent Pricing. No Surprises.

Hourly billing, 1-hour minimum. No platform fees. No egress charges. No ML stack licence fees. Reserve for 6 or 12 months and save up to 35% with guaranteed capacity priority.

GPU as a Service Delivery Models to Match Your Organisation

On-Demand GPU Rental (Self-Service)

Provision H100, A100, L40S, or V100 instances on demand via the console, API, or CLI. Best for: AI startups, research teams, developers with variable GPU needs. Launch in under 60 seconds. Pay by the hour.

Reserved GPU Capacity (6-Month / 12-Month)

Lock in GPU capacity at up to 35% below on-demand pricing. Includes capacity priority during high-demand periods. Best for: scale-ups and enterprises with predictable, ongoing training or inference workloads.

Dedicated Managed GPU Infrastructure

Fully isolated, dedicated GPU clusters managed by Cyfuture AI's engineering team — including hardware monitoring, NCCL/network tuning, ML stack updates, and 24×7 SRE support. Best for: large enterprises, BFSI and government workloads requiring physical isolation and compliance-ready controls.

GPU Cluster as a Service (Multi-Node)

Managed multi-node GPU clusters from 8× to 128× GPUs over InfiniBand, with Kubernetes orchestration, NCCL-optimised topology, and automated job scheduling. Best for: frontier model training, scientific HPC, distributed deep learning pipelines.

Captive GPU Design Consultancy

Cyfuture AI architects will design and deploy your private on-premise GPU cluster — rack design, cooling, high-speed networking, and compliance controls. Best for: large enterprises wanting in-house GPU capability with expert guidance.

Pre-Configured AI Software Stack — Launch and Build Immediately

Every Cyfuture AI GPU instance ships with a production-ready ML environment. No manual dependency management. No CUDA version conflicts. Just GPU compute, ready from the first login.

Deep Learning Frameworks

PyTorch 2.x (stable + nightly) TensorFlow 2.x JAX + Flax MXNet

Inference Frameworks

vLLM TensorRT-LLM Triton Inference Server Ollama

Training & Optimisation

DeepSpeed ZeRO-1/2/3 Megatron-LM FSDP / PyTorch DDP Axolotl, HuggingFace PEFT

MLOps & Dev Tools

Jupyter Lab (browser-accessible) VS Code Server + SSH MLflow / Weights & Biases Docker, NGC container support

CUDA Support

CUDA 11.8, 12.1, 12.4 — all versions natively available

OS Images

Ubuntu 22.04 LTS
Ubuntu 20.04 LTS
Rocky Linux 8/9

Container Registry

BYO Docker Hub, NGC, or private registry

Simple Pricing. Powerful GPUs.
No Hidden Fees.

All instances billed hourly with a 1-hour minimum. Reserve for 6 or 12 months to save up to 35% and lock in capacity priority.

GPU	On-Demand	6-Month	12-Month	Best For
NVIDIA V100 · 32 GB	$0.60/hr	$0.48/hr	$0.43/hr	Dev & Prototyping
NVIDIA L40S · 48 GB	$1.38/hr	$0.75/hr	$0.68/hr	FP8 Inference
4× L40S · 192 GB	$5.39/hr	$2.88/hr	$2.59/hr	Inference Fleet
NVIDIA A100 · 80 GB	$2.20/hr	$2.16/hr	$2.08/hr	Fine-Tuning
2× A100 NVLink · 160 GB	$4.36/hr	$4.18/hr	$3.99/hr	70B Training
NVIDIA H100 · 80 GB	$3.66/hr	$2.92/hr	$2.43/hr	LLM Pre-Training
4× H100 NVLink · 320 GB	$14.32/hr	$11.22/hr	$9.24/hr	Multi-GPU Scale
8× H100 NVLink · 640 GB	$28.36/hr	$22.20/hr	$18.29/hr	Frontier Models

Prices in USD · 1-hour minimum · Storage: $0.05/GB/month · No platform fees · No egress charges within a region

Need High-Performance
GPUs Without the Capital Investment?

Deploy enterprise GPU infrastructure in minutes. Pay only for what you use with on-demand GPU instances, dedicated clusters, 99.9% uptime, and 24×7 expert support.

Get Started

Voices of Innovation: How We're Shaping AI Together

We're not just delivering AI infrastructure-we're your trusted AI solutions provider, empowering enterprises to lead the AI revolution and build the future with breakthrough generative AI models.

KPMG optimized workflows, automating tasks and boosting efficiency across teams.

H&R Block unlocked organizational knowledge, empowering faster, more accurate client responses.

TomTom AI has introduced an AI assistant for in-car digital cockpits while simplifying its mapmaking with AI.

Trusted by Industry leaders

FAQs - GPU as a Service

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.

Which GPU should I start with?

V100 for dev and prototyping. L40S for production FP8 inference — best $/TFLOP in our fleet. A100 for fine-tuning 7B–70B models — handles 80% of AI team needs. H100 for pre-training 30B+ models and long-context inference. If unsure, start with A100.

How exactly does billing work?

Hourly billing, 1-hour minimum. No platform fees, no egress fees within a region, no ML stack licence fees. Storage billed separately at $0.05/GB/month. Reserved instances (6 or 12 months) save up to 35% and include capacity priority during peak demand.

Can I run multi-node distributed training?

Yes. Single-node goes up to 8× H100 or 8× A100 with full NVLink mesh. Multi-node clusters of 2–128 GPUs run over 200/400 Gbps InfiniBand (Enterprise tier). NCCL and MPI are pre-configured for our network topology.

Is Cyfuture AI approved for government and regulated workloads?

Yes. Cyfuture AI is MeitY-empanelled — one of the few GPU clouds authorised for Indian government workloads. Certified ISO 27001, SOC 2 Type II, and DPDP-compliant. Dedicated private tenancy and bare-metal nodes available on request.

What software is pre-installed on every instance?

PyTorch 2.x, TensorFlow, JAX, vLLM, TensorRT-LLM, Triton Inference Server, DeepSpeed, Axolotl, Megatron-LM. CUDA 11.8 / 12.1 / 12.4. Ubuntu 22.04 LTS. BYO Docker or NGC containers fully supported.

Ready to Accelerate Your AI Projects?

Whether you're training foundation models, running large-scale AI inference, or building enterprise AI applications, our GPU as a Service platform provides the performance, flexibility, and scalability you need.

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Book your meeting with our Sales team

You're Ready for AI. Is Your Infrastructure Ready?

Enterprises blocked by infrastructure readiness gaps

TCO reduction on managed GPU cloud vs. owned hardware

Faster inference acceleration vs. CPU-only deployments

From console click to SSH-ready GPU instance

Every NVIDIA GPU You Need. One Platform. One Invoice.

NVIDIA H100

NVIDIA A100

NVIDIA L40S

NVIDIA V100

NVIDIA B200

NVIDIA B300

50%

25x

50%

03

Four Workloads. One Platform. Zero Compromise.

LLM Pre-Training

Production Inference

LLM Fine-Tuning

Fractional GPU / MIG

Power Your AI with Enterprise GPU as a Service

We Handle the Complexity. You Own the Outcomes.

Owned Infrastructure. No Reseller Markup.

MeitY-Empanelled. Fully Compliant.

Full AI Platform — Not Just GPU Rental.

Transparent Pricing. No Surprises.

GPU as a Service Delivery Models to Match Your Organisation

On-Demand GPU Rental (Self-Service)

Reserved GPU Capacity (6-Month / 12-Month)

Dedicated Managed GPU Infrastructure

GPU Cluster as a Service (Multi-Node)

Captive GPU Design Consultancy

Pre-Configured AI Software Stack — Launch and Build Immediately

Deep Learning Frameworks

Inference Frameworks

Training & Optimisation

MLOps & Dev Tools

CUDA Support

OS Images

Container Registry

Simple Pricing. Powerful GPUs. No Hidden Fees.

Need High-Performance GPUs Without the Capital Investment?

Voices of Innovation: How We're Shaping AI Together

Trusted by Industry leaders

FAQs - GPU as a Service

The power of AI, backed by human support

Ready to Accelerate Your AI Projects?

Products & Solutions

GPUs

Company

Resources

Book your meeting with our
Sales team

Power Your AI with
Enterprise GPU as a Service

Simple Pricing. Powerful GPUs.
No Hidden Fees.

Need High-Performance
GPUs Without the Capital Investment?