Trusted by 20,000+ Businesses
Rent GPU Cloud Servers in India
On-demand NVIDIA A30, L4, L40S, A100, H100 and H200 deployed in minutes, no quota limits.
Pay-as-You-Go
Flexible Billing
AI Frameworks
Pre-built
Up to 60%
Lower Cost*
24/7
Human Support
Start With ₹20,000 Free Credits
Transparent pricing for NVIDIA GPUs
| GPU Machine | VRAM | Best For |
Configuration (Starting plan) |
Monthly Price (Starting at) |
Action |
|---|---|---|---|---|---|
|
NVIDIA L40s GPU
(Most Popular) |
48GB GDDR6 |
GenAI, 3D, VFX |
1× GPU · 16 vCPU · 64GB RAM |
₹60,000/mo Save ₹72,000 annually |
→ Deploy NowView Details |
|
NVIDIA L4 GPU
|
24GB GDDR6 |
Inference, video AI |
1× GPU · 8 vCPU · 32GB RAM |
₹25,500/mo Save ₹30,600 annually |
→ Deploy NowView Details |
|
NVIDIA A2 GPU
|
16GB GDDR6 |
Edge inference |
1× GPU · 8 vCPU · 32GB RAM |
₹12,000/mo Save ₹14,400 annually |
→ Deploy NowView Details |
|
NVIDIA A30 GPU
|
24GB HBM2 |
AI and HPC |
1× GPU · 8 vCPU · 32GB RAM |
₹35,000/mo Save ₹42,000 annually |
→ Deploy NowView Details |
|
NVIDIA RTX A6000
|
48GB GDDR6 |
AI and design |
1× GPU · 16 vCPU · 64GB RAM |
₹37,500/mo Save ₹45,000 annually |
→ Deploy NowView Details |
|
NVIDIA RTX A6000 Ada
|
48GB GDDR6 |
Rendering and AI |
1× GPU · 16 vCPU · 64GB RAM |
₹53,500/mo Save ₹64,200 annually |
→ Deploy NowView Details |
|
NVIDIA A100 (80GB)
|
80GB HBM2 |
AI supercomputing |
1× GPU · 16 vCPU · 128GB RAM |
₹90,000/mo Save ₹108,000 annually |
→ Deploy NowView Details |
|
NVIDIA H100 (HGX)
|
80GB |
LLM training |
1× GPU · 26 vCPU · 250GB RAM |
₹180,000/mo Save ₹216,000 annually |
→ Deploy NowView Details |
|
NVIDIA H200 (NVL)
|
141GB HBM3e |
GenAI at scale |
1× GPU · 24 vCPU · 282GB RAM |
₹220,000/mo Save ₹264,000 annually |
→ Deploy NowView Details |
|
RTX PRO 6000 (96GB)
|
96GB GDDR7 (ECC) |
AI factories |
1× GPU · 16 vCPU · 128GB RAM |
₹95,636/mo Save ₹114,760 annually |
→ Deploy NowView Details |
Tap into fast, flexible GPU power for AI, ML, inference, and rendering.
Launch Open-Source Models on GPUs in a Few Clicks
Run DeepSeek, LLaMA, Mistral, Stable Diffusion and 40+ more models, and bring them live on AceCloud GPUs with minimal setup.
High-Performance Cloud GPU Solutions
Scale up effortlessly with 2, 4, or 8 GPUs on a single VM, perfect for high-performance computing, deep learning, and demanding workloads that need serious power.
Power your workloads with enterprise-grade NVIDIA GPUs, featuring CUDA, Tensor and RT cores for superior parallel processing, deep learning and real-time rendering.
Get ultra-fast, PCIe Gen5 NVMe storage directly attached to your instance delivering up to 12,00,000 IOPS for low-latency, high-throughput performance.
Leverage GPU passthrough to access dedicated GPU resources directly attached to your VM ensuring better performance, improved efficiency, and full control over your workloads.
Utilize popular deep learning frameworks and libraries such as TensorFlow, Scikit Learn, PyTorch to eliminate dependencies and simplify complex use cases at high speed.
We offer Tesla cards per instance and the required potency that helps businesses deliver 2X performance and simplify multiplex use cases of deep learning and graphic computing.
Why AceCloud Beats Hyperscalers for GPUs
| What Matters |  |
Hyperscalers |
|---|---|---|
|
GPU pricing
Cost structure
|
Monthly plans with up to 60% savings. |
Higher long-run cost for steady use. |
|
Billing & Egress
Transparency
|
Simple bill with predictable egress. |
Many line items and surprise charges. |
|
Data Location
Regional presence
|
India-first GPU regions, low latency. |
Fewer India GPU options, higher latency/cost. |
|
GPU Availability
Access to capacity
|
Capacity planned around AI clusters. |
Popular GPUs often quota-limited. |
|
Support
Help when you need it
|
24/7 human GPU specialists. |
Tiered, ticket-driven support; faster help extra. |
|
Commitment & Flexibility
Scaling options
|
Start with one GPU, scale up. |
Best deals need big upfront commits. |
|
Open-source & Tools
Ready-to-use models
|
Ready-to-run open-source models, standard stack. |
More DIY setup around base GPUs. |
|
Migration & Onboarding
Getting started
|
Guided migration and DR planning. |
Mostly self-serve or paid consulting. |
See how much you could save with AceCloud.
Why Businesses Trust AceCloud
Enterprise-Grade Security and Compliance
Trusted by Industry Leaders
See how businesses across industries use AceCloud to scale their infrastructure and accelerate growth.
Tagbin
“We moved a big chunk of our ML training to AceCloud’s A30 GPUs and immediately saw the difference. Training cycles dropped dramatically, and our team stopped dealing with unpredictable slowdowns. The support experience has been just as impressive.”
60% faster training speeds
“We have thousands of students using our platform every day, so we need everything to run smoothly. After moving to AceCloud’s L40S machines, our system has stayed stable even during our busiest hours. Their support team checks in early and fixes things before they turn into real problems.”
99.99*% uptime during peak hours
“We work on tight client deadlines, so slow environment setup used to hold us back. After switching to AceCloud’s H200 GPUs, we went from waiting hours to getting new environments ready in minutes. It’s made our project delivery much smoother.”
Provisioning time reduced 8×
You’ve seen their stories now start yours. Let AceCloud handle the infrastructure while you build what matters.
Strategic Technology Partners
Frequently Asked Questions
A GPU cloud server is a virtual machine with one or more GPUs that you rent over the internet instead of buying and managing physical hardware yourself. You pick the GPU type, pay by the hour or month, and only use what you need.
It’s the same NVIDIA hardware used in on-premise data centres, but you can spin one up in minutes, scale to multiple GPUs when a workload demands it, and shut it down when you’re done. AceCloud runs GPU cloud servers from datacentres in India, so you get low-latency access with billing in INR and no quota waits.
AceCloud offers a range of NVIDIA GPUs for different workloads and budgets:
For AI training & LLMs: A100 (80GB), H100 (HGX), H200 (NVL) best for training large models, fine-tuning, and high-throughput inference.
For inference & GenAI: L40S (48GB), L4 (24GB) cost-effective for serving models, image generation, and video AI.
For rendering & design: RTX A6000 (48GB), RTX A6000 Ada, RTX 8000, RTX Pro 6000 built for 3D, VFX, and creative AI workloads.
For edge & budget workloads: A30 (24GB), A2 (16GB) good starting points for smaller models and experimentation.
All GPUs support PyTorch, TensorFlow, CUDA, and popular LLM frameworks out of the box. NVIDIA B200 is on the waitlist.
Dedicated. Every GPU is attached directly to your virtual machine using passthrough and is not shared with other customers.
This matters because shared GPUs can cause unpredictable slowdowns during training runs or latency spikes in production inference. With dedicated GPU passthrough, the performance you benchmark is the performance you get, every time. There are no “noisy neighbour” effects.
AceCloud GPU pricing in India starts at ₹12,000/month for an NVIDIA A2, up to ₹2,20,000/month for an H200. All prices are in INR, no surprise charges at the end of the month.
Hourly billing is available if you only need a GPU for a short job. You can also lock in lower rates with 6 or 12-month plans. New customers get ₹20,000 in free credits to test any GPU type before paying anything.
Yes, in two ways.
Scale up: Choose instances with 2, 4, or 8 GPUs on a single VM useful for training models that don’t fit on one GPU’s VRAM.
Scale out: Add more GPU nodes and connect them into a cluster using Kubernetes or your own orchestration. AceCloud’s managed Kubernetes service supports GPU worker nodes with autoscaling, so the cluster grows and shrinks based on your workload automatically.
Most teams start with a single GPU, benchmark their pipeline, then scale once they know what they need.
Yes. AceCloud is certified to ISO/IEC 27001:2022 (information security), ISO/IEC 27017 (cloud security), and ISO/IEC 27018 (cloud privacy). Our data centre partners in India and the US hold Tier 4/5 ratings and SSAE compliance. US-region instances are also HIPAA-compliant.
Each GPU instance runs in an isolated virtual network. You control firewall rules, access permissions, and encryption. Your workloads and data are not visible to or accessible by other customers.
Yes. New AceCloud customers get ₹20,000 in free GPU cloud credits no credit card required, no approval process.
Credits work on any GPU type including A30, L4, L40S, and A100. You can use them to run a real training job, test inference latency, or benchmark your pipeline before committing to a paid plan. Credits are valid for 30 days from the date you sign up. If you’re migrating from another cloud provider, our team can also help with the transition at no extra cost.
Start With ₹20,000 Free Credits
