Rent Cloud GPUs in India: H100, A100, A40 and RTX 4090

Rent NVIDIA H100 GPUs for training and inference

H100 rental fits large-model fine-tuning, sustained training, long-context workloads, and high-throughput vLLM or TGI serving. H100 instances include SSH access and support Docker-based AI environments.

Memory: 80GB HBM3. Best for: large LLMs, premium training, and high-throughput inference.

NVIDIA A100 GPU rental for fine-tuning and notebooks

A100 rental is a practical datacenter option for PyTorch fine-tuning, research notebooks, model serving, and workloads that need more VRAM than a consumer GPU.

Memory: 40GB or 80GB HBM2e. Best for: fine-tuning, vLLM, notebooks, and production validation.

Rent NVIDIA A40 GPUs for 48GB VRAM AI workloads

NVIDIA A40 rental fits 70B quantized LLM inference, long-context serving, PyTorch fine-tuning, and 3D rendering. A40 is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace with per-second billing and INR payments.

Memory: 48GB GDDR6. Best for: 48GB LLMs, multi-LoRA serving, vLLM, and rendering.

Rent NVIDIA RTX 4090 GPUs for ComfyUI and fast experiments

RTX 4090 rental fits ComfyUI, FLUX, SDXL, rendering, inference tests, and smaller fine-tunes where price-performance matters more than datacenter features.

Memory: 24GB GDDR6X. Best for: image generation, prototypes, rendering, and cost-sensitive AI experiments.

Live GPU rental inventory and hourly pricing

Check currently listed GPU models, INR hourly rates, VRAM, and availability before starting a rental. Inventory changes frequently, while Auto-rent can wait for the selected GPU to return.

GPU hourly rates and stock depend on the available SKU. Confirm the current GPU and storage quote in the marketplace before starting a rental.

Compare GPUs for your workload

Choose by VRAM and workload first, then check the current SKU, hourly rate and stock before renting.

Rates depend on the available SKU. Check the marketplace quote for current stock, GPU and storage charges.

Customer GPU training result

“My first model trained successfully in around 30 minutes. This GPU was 10× faster than the Tesla T4 provided by Kaggle — a huge improvement.”

Reported result from one workload; performance varies by GPU, model, and configuration.

Full cloud GPU fleet catalog

Lumino maintains a rental catalog across NVIDIA datacenter, workstation, and GeForce GPUs plus selected AMD accelerators. Supported models remain listed when runtime stock rotates; current stock and INR pricing are shown only by the marketplace.

Catalog coverage: 33 maintained GPU rental records.

Open the filtered marketplace result to confirm current stock and pricing before adding credits or starting a rental.

Open the machine-readable Lumino GPU catalog

Multi-node GPU clusters for training at scale

Need more than one GPU? Lumino offers multi-node clusters of H100, H200, B200 and A100 GPUs (2–32 nodes, 8 GPUs per node) with InfiniBand fabric for PyTorch FSDP, Megatron-LM, Ray and Slurm HPC workloads. Clusters deploy from the same marketplace with per-second INR billing.

From search to SSH without reading a buying guide

Open the marketplace, choose a live GPU, select storage and a Docker template, then connect over SSH or the browser terminal. Lumino shows GPU and storage charges before rental and bills running compute per second.

Prefer a hosted API instead of managing a GPU? Compare hosted AI models or open the API documentation.

GPU rental FAQ

Can I rent NVIDIA A40 (48GB) and L4 (24GB) in India on Lumino AI?

Yes. Lumino AI explicitly lists NVIDIA A40 (48GB VRAM) and NVIDIA L4 (24GB VRAM) with per-second INR billing and SSH access. Open the dedicated NVIDIA A40 rental page or use the live marketplace to confirm current stock and price.

Can I rent H100, A100, and RTX 4090 from the same page?

Yes. This page compares the main GPU families and links directly to filtered live inventory for each model.

Do GPU rentals include SSH and Docker access?

Yes. You can connect over SSH, use the browser terminal, and bring a public Docker image for CUDA, notebooks, training, or model serving.

Do I need a long-term contract?

No. Add credits, rent when needed, and stop or terminate the pod when the workload is complete.

Does Lumino offer multi-GPU clusters?

Yes. Multi-node H100, H200, B200 and A100 clusters (2–32 nodes) with InfiniBand are available from the marketplace for distributed training and HPC. Explore GPU clusters.