Is buying GPUs too expensive?
Access NVIDIA GPU compute on demand with hourly and monthly pricing options.
High-Performance GPU
Virtual Machines
Launch NVIDIA GPU VMs for AI inference, GenAI applications, CUDA development, rendering, and production GPU workloads. Choose RTX 5000, L4, or L40S instances with NVMe storage, flexible billing, and clear workload-based plans.
Why teams choose IBEE
Built for the realities of GPU workloads
From scarce capacity to expensive idle hardware, IBEE GPU VMs solve the friction AI, rendering, and CUDA teams actually hit.
Is GPU capacity hard to find?
Choose from curated GPU VM plans for AI inference, rendering, CUDA development, and GenAI workloads.
Confused about choosing the right GPU?
Clear GPU VM plans with recommended use cases help teams select the right instance faster.
Does AI inference need reliable performance?
Run production AI inference, model APIs, and GenAI workloads on dedicated NVIDIA GPU resources.
Are idle GPUs wasting money?
Use GPU VMs hourly or monthly so spend can match real workload needs.
Do storage and compute need to work together?
GPU VMs work alongside Object Storage, Block Storage, backups, and networking for complete workload delivery.
Choose the right GPU for your workload
Three GPU tiers tuned for AI inference, GenAI, rendering, and CUDA workloads. Each plan pairs a dedicated NVIDIA GPU with high-frequency CPUs and NVMe storage, plus pre-installed CUDA drivers and flexible hourly or monthly billing. Add Block Storage volumes anytime as your datasets, models, checkpoints, and outputs grow.
GPU VMs
Dedicated NVIDIA GPUs with NVMe storage and pre-installed CUDA drivers for AI and rendering workloads.
Deploy GPU Instance→gpu.1.rtx5000.c8.m32
NVIDIA Quadro RTX 5000
Rendering, design workloads, light AI/ML, CUDA development
₹35
/hr
₹22,000/mo
GPU Mem16 GB
vCPUs16
RAM32 GB
Disk250 GB NVMe
Deploy→
gpu.1.l4.c16.m64POPULAR
NVIDIA L4
AI inference, video AI, lightweight LLMs, dev/test ML
₹45
/hr
₹28,000/mo
GPU Mem24 GB
vCPUs16
RAM64 GB
Disk300 GB NVMe
Deploy→
gpu.1.l40s.c32.m128
NVIDIA L40S
GenAI inference, Stable Diffusion, rendering, production AI apps
₹90
/hr
₹49,000/mo
GPU Mem48 GB
vCPUs32
RAM128 GB
Disk500 GB NVMe
Deploy→
| Name | GPU | Memory | vCPUs | RAM | Disk | Hourly | Monthly | Best Use Case |
|---|---|---|---|---|---|---|---|---|
gpu.1.rtx5000.c8.m32 | NVIDIA Quadro RTX 5000 | 16 GB | 16 | 32 GB | 250 GB NVMe | ₹35/hr | ₹22,000/mo | Rendering, design workloads, light AI/ML, CUDA development |
gpu.1.l4.c16.m64POPULAR | NVIDIA L4 | 24 GB | 16 | 64 GB | 300 GB NVMe | ₹45/hr | ₹28,000/mo | AI inference, video AI, lightweight LLMs, dev/test ML |
gpu.1.l40s.c32.m128 | NVIDIA L40S | 48 GB | 32 | 128 GB | 500 GB NVMe | ₹90/hr | ₹49,000/mo | GenAI inference, Stable Diffusion, rendering, production AI apps |
Three purpose-built tiers
Recommended GPU tiers
To make selection simple, IBEE launches with three purpose-built GPU tiers, each tuned for a specific class of workload.
Entry GPU
Quadro RTX 5000
Affordable GPU access, rendering, light ML, and CUDA development.
Inference GPU
NVIDIA L4
Best price-performance for AI inference and video workloads.
Production AI GPU
NVIDIA L40S
Best for GenAI, image generation, rendering, and heavier inference.
Use cases
GPU VMs for AI and rendering
From local AI inference to massive 3D rendering pipelines, select compute tuned for high-intensity processing.
AI Inference & LLMs
Serve real-time inference requests, embeddings, and lightweight language models with low-latency silicon.
inference_response.json12ms
{
"model": "llama-3-8b",
"tokens_per_sec": 145.8,
"choices": [{"text": "..."}]
}Computer Vision
Power intelligent object detection, image processing, and real-time analytics workloads.
PERSON [98.4%]
VEHICLE [94.1%]
Rendering & Creative
Accelerate massive 3D rendering, design workloads, animations, and high-end video pipelines.
3D Rendering Engine58%
Frame 780/1200ETA 4m 2s
CUDA Development
Spin up dedicated environments to build, test, and compile GPU-optimized C++/Python kernels.
$ nvcc -O3 kernel.cu -o main
$ ./main
Using device 0: NVIDIA L4
Grid: [1024, 1024] Threads: 256
Compute capability: 8.9
Generative AI Apps
Run stable diffusion, custom text-to-image engines, and conversational AI APIs with dedicated pools.
RTX_READYL4_READY
AI-Ready Infrastructure
GPU infrastructure built for production workloads
Dedicated NVIDIA GPUs
Access RTX 5000, L4, or L40S compute pools directly without sharing cycles or hardware contention.
Performance-optimized storage
High-performance local NVMe paired with Object Storage connectivity to speed up your dataset loads.
Pre-configured AI stack
Optimized drivers, kernels, and CUDA ready-to-go out of the box, letting your team deploy fast.
Production cloud foundation
Surrounded by DDoS ingress, private VPCs, backups, and stateful firewalls to guard models.
Edge Defense
DDoS & Web Guard
NVIDIA Silicon
NVIDIA L40S
CUDA_READY
Dataset / AI StorageGen4 NVMe
Local NVMe Scratch
Ready to power your
next workload?
Start with RTX 5000 for entry GPU workloads, choose L4 for inference, or use L40S for heavier GenAI and rendering workloads.
Deploy GPU InstanceFrequently Asked Questions
Each GPU VM plan includes the GPU, allocated vCPUs, RAM, and the base NVMe storage listed in the table. Networking is provisioned by default. Additional block storage and bandwidth can be added separately as needed.
No. All prices shown are exclusive of GST and any other applicable taxes. Final invoice amounts will reflect taxes per Indian regulations.
Hourly billing is ideal for short-running jobs, experiments, or burst workloads. You pay only for the hours the VM is active. Monthly billing offers a discounted flat rate for sustained workloads such as production inference, rendering pipelines, or long-running training jobs.
For most AI inference workloads, including video AI and lightweight LLMs, the NVIDIA L4 (gpu.1.l4.c16.m64) offers the best price-performance. For larger models, GenAI image generation, or higher concurrency, the NVIDIA L40S (gpu.1.l40s.c32.m128) is recommended.
Yes. The Quadro RTX 5000 plan is purpose-built for rendering, design workloads, light ML, and CUDA development. The L40S also supports professional rendering and is suited for higher-end production rendering jobs.
Yes. The included NVMe disk covers the OS and base workloads, but you can attach additional block storage volumes separately at any time. Block storage is billed independently of the GPU VM plan.
No. You can spin up a GPU VM on hourly billing with zero commitment. Monthly pricing is available as a cost-saving option for users with predictable, sustained usage, but it is not mandatory.
Yes. You can resize or migrate your workload to a different GPU plan as your requirements grow. We recommend taking a snapshot before resizing to preserve your data and configuration.
Each listed GPU plan provides a dedicated GPU to your virtual machine. There is no GPU time-slicing or sharing across tenants on these SKUs.
Sign up on the IBEE console, choose your preferred GPU plan, configure your OS image, and launch. Your VM will be ready in minutes with full SSH/console access.
Have more questions?
Contact Our Technical Team→