AceCloud
Affordable cloud GPUs for AI workloads
Last reviewed Mar 14, 2026
AceCloud is a cloud infrastructure provider offering GPU, compute, Kubernetes, storage, managed databases, and networking services. Headquartered in Gurugram, India, it runs an India-first infrastructure with data centers in India (Mumbai, Noida) and the USA, providing on-demand NVIDIA GPUs for AI training, inference, HPC, rendering, and GenAI workloads with pay-as-you-go and monthly pricing, INR billing, and 24/7 human support.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: July 7, 2026
GPU Model↑ | Memory↑ | GPUs | vCPUs | RAM | Price / hr↑ | Updated↑ | Source |
|---|---|---|---|---|---|---|---|
| A100 SXM | 80GB | 1×2×4× | 16 | 128 GB | $1.81/hr | 7/7/2026 | |
| A2 | 16GB | 1×2× | 8 | 32 GB | $0.283/hr | 7/7/2026 | |
| A30 | 24GB | 1×2× | 8 | 32 GB | $0.734/hr | 7/7/2026 | |
| H100 SXM | 80GB | 1×2×4×8× | 26 | 250 GB | $3.63/hr | 7/7/2026 | |
| H200 | 141GB | 1×2×4× | 16 | 128 GB | $4.02/hr | 7/7/2026 | |
| L4 | 24GB | 1×2×4× | 8 | 32 GB | $0.662/hr | 7/7/2026 | |
| L40S | 48GB | 1×2×4× | 16 | 64 GB | $1.50/hr | 7/7/2026 | |
| RTX 6000 Ada | 48GB | 1×2× | 16 | 64 GB | $1.14/hr | 7/7/2026 | |
| RTX A6000 | 48GB | 1×2× | 16 | 64 GB | $0.927/hr | 7/7/2026 | |
| RTX PRO 6000 | 96GB | 1×2×4× | 16 | 128 GB | $2.19/hr | 7/7/2026 |
Pros & Cons
Advantages
- Broad NVIDIA GPU portfolio for AI, inference, HPC, rendering, and GenAI workloads
- India-first GPU availability with INR billing
- Transparent pricing with no hidden charges and pay-as-you-go or monthly options
- Managed Kubernetes and GPU clusters with GPU Operator support and autoscaling
- 24/7 human support with dedicated cloud experts
- ISO-certified environments with a 99.99% uptime SLA
- Free migration support
- Storage, managed databases, VPC, and networking services alongside GPU compute
Limitations
- Limited data center presence outside India and the USA
- Newer player in the global cloud market
- Primarily focused on the Indian market
Key Features
NVIDIA GPU Cloud
On-demand NVIDIA GPUs including A2, A30, L4, L40S, A100, H100, H200, RTX A6000, RTX 6000 Ada, and RTX PRO 6000 for AI training, inference, GenAI, rendering, VFX, HPC, and data analytics
Transparent GPU Pricing
Published GPU instance pricing with monthly plans, longer-term commitment savings, and pay-as-you-go options with no hidden charges
Managed Kubernetes and GPU Clusters
Managed Kubernetes with GPU node groups, autoscaling clusters, NVIDIA GPU Operator support, managed control plane, custom node pools, observability, and built-in security
Cloud Compute
Cloud compute on AMD EPYC and Intel Xeon processors with NVMe storage, one-click deployments, autoscaling, backups, and scalable VM resources
Storage, Databases, and Networking
Cloud storage, S3-compatible object storage, block storage, managed databases, VPC networking, load balancers, floating IPs, firewall/security groups, DDoS protection, and private networking
Enterprise Security and Compliance
ISO-certified environments, data sovereignty, VPC isolation, multi-zone redundancy, and a 99.99% uptime SLA
24/7 Human Support
Round-the-clock human support with cloud experts, migration assistance, and support for production workloads
Compute Services
NVIDIA GPU Instances
GPU cloud servers for AI training, inference, GenAI, HPC, rendering, VFX, and video processing
GPU Kubernetes Clusters
Managed Kubernetes GPU clusters with autoscaling, GPU Operator support, managed control plane, observability, and high availability
- Autoscaling GPU node groups
- NVIDIA GPU Operator support
- Managed control plane operations
- Custom node pools and observability
Cloud Compute Instances
CPU, RAM, standard, and GPU-powered virtual machines with AMD/Intel processors and NVMe storage
- AMD EPYC and Intel Xeon processors
- NVMe storage
- One-click deployments and autoscaling
- Scalable VM resources
Spot Instances
Lower-cost compute for flexible or fault-tolerant workloads
- Reduced cost versus on-demand
- Suited for fault-tolerant workloads
- Flexible capacity
Managed Kubernetes
Kubernetes clusters with node groups, container lifecycle management, autoscaling, and container registry support
- Container lifecycle management
- Node groups and autoscaling
- Container registry support
Cloud Storage
Block storage, object storage, backups, and snapshots
- S3-compatible object storage
- Block storage
- Backups and snapshots
Managed Databases
Managed PostgreSQL, MySQL, MariaDB, Redis, Kafka, RabbitMQ, and FerretDB-compatible services
- Relational and in-memory databases
- Message queues (Kafka, RabbitMQ)
- FerretDB-compatible services
Networking
VPC, load balancers, firewall/security groups, floating IPs, virtual routers, CDN, and DDoS protection
- VPC and private networking
- Load balancers and floating IPs
- DDoS protection and CDN
Pricing Options
| Option | Details |
|---|---|
| Pay-as-you-go | Hourly usage-based pricing for GPU and compute instances |
| Monthly Plans | Monthly pricing for GPU instances |
| Longer-term Commitments | Savings for longer-term commitments on GPU and compute resources |
| Spot Instances | Lower-cost capacity for flexible or fault-tolerant workloads |
Availability & Support
Regions
India-first infrastructure with data centers in India (Mumbai, Noida) and the USA. GPU pricing is shown in USD for the Mumbai 2 and US East (Atlanta) regions, derived from monthly rates.
Support
24/7 human support with cloud experts, migration assistance, sales and support contacts, documentation, knowledge base, and consultation options.
Getting Started
- 1
Create an account
Sign up for an AceCloud account, optionally starting with free credits
- 2
Choose a service
Select a GPU, compute, Kubernetes, storage, database, or networking service
- 3
Configure the instance
Choose region, operating system/image, instance flavor, storage, network, and security settings
- 4
Launch
Launch the instance or cluster from the AceCloud console
- 5
Manage workloads
Monitor, resize, back up, scale, or manage workloads from the dashboard
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