AceCloud

AceCloud is an Indian cloud provider delivering GPU-accelerated infrastructure, Kubernetes, compute, storage, and managed databases for AI and production workloads, with up to 60% lower costs than hyperscalers and full data sovereignty under Indian law.

What is AceCloud?

AceCloud is a sovereign cloud platform built on India-hosted data centers, offering a full stack of infrastructure services including cloud GPU (NVIDIA), virtual machines (AMD/Intel), managed Kubernetes, S3-compatible object storage, and managed databases (PostgreSQL, MySQL, MariaDB, Redis, Kafka, RabbitMQ). It takes existing applications and workloads as input and provides scalable compute, storage, and orchestration as output, running on its own infrastructure across 3 data centers in India. The service is operated by AceCloud (a brand of RTDS), with over 15 years of experience and 600 domain experts.

Key Features

• Cost Advantage — Up to 60% lower than AWS, Azure, and GCP with zero egress charges and INR billing; no hidden fees.
• Same-Day GPU Access — Provision NVIDIA GPU servers (e.g., A30) for AI training, inference, and rendering without quota approvals.
• Sovereign Cloud — All data remains in India under Indian law, ISO-27001 certified, protecting against US Cloud Act exposure.
• Managed Kubernetes — Fully managed control plane with node autoscaling and container lifecycle management for cloud-native workloads.
• Managed Databases — Automated provisioning, scaling, and maintenance for relational and NoSQL databases; supports PostgreSQL, MySQL, MariaDB, Redis, Kafka, RabbitMQ.
• Storage Services — S3-compatible object storage, block storage, snapshots, and backups for application data and archives.
• Free Migration Assistance — Expert-led migration from other cloud providers at no additional cost, including data transfer and reconfiguration.
• 24/7 Human Support — Real-time assistance from engineers (not chatbots) across all support tiers, with proactive account management.

Who is it for?

• AI/ML startups needing cost-effective, same-day GPU access for training and inference without vendor lock-in.
• Indian enterprises requiring data residency and compliance with Indian laws for critical workloads, such as financial services and government applications.
• DevOps teams seeking managed Kubernetes and database services with easy scaling, auto-maintenance, and reliable support.
• Media and rendering studios using GPU-accelerated compute for graphics rendering, video processing, and simulation workloads.

Use Cases

• Train large language models on NVIDIA GPU clusters with up to 60% cost savings compared to hyperscalers, with same-day provisioning and no egress fees.
• Run production web applications on scalable compute instances with NVMe storage, backed by a 99.99% uptime SLA and 24/7 human support.
• Deploy cloud-native microservices using managed Kubernetes with auto-scaling, integrated monitoring, and zero-downtime updates.
• Store and serve static assets via S3-compatible object storage with unlimited scalability and zero egress charges for data transfers within India.

Pros and Cons

Pros:

• Significantly lower cost than hyperscalers (up to 60% less)
• No egress fees – free data transfer out
• India-hosted with full data sovereignty under Indian law
• 24/7 human support with quick response times (testimonials confirm under-minutes response)
• Free migration assistance from other clouds

Cons:

• Limited geographic presence – only 3 data centers in India, may not suit latency-sensitive global applications
• Smaller ecosystem and fewer third-party integrations compared to AWS/Azure

Pricing

AceCloud offers a free trial to explore its services. After trial, pay-as-you-go pricing applies with no long-term contracts. All billing can be done in INR. The company claims up to 60% lower costs compared to hyperscalers for comparable workloads.

Alternatives

• AWS – Global scale but higher egress costs and US Cloud Act exposure.
• Azure – Tight integration with Microsoft stack, but similar cost and sovereignty issues.
• GCP – Strong data and AI services, but high egress charges and US jurisdiction.
• DigitalOcean – Simple, affordable cloud for developers, but limited GPU and no India-specific sovereignty.
• E2E Networks – Another Indian GPU cloud provider, similar cost savings and sovereignty.
• Yotta – Enterprise-focused sovereign cloud in India, but with more contract-based pricing and slower provisioning for GPUs.

FAQ

Is AceCloud free?

AceCloud offers a free trial to get started. After the trial, pay-as-you-go pricing applies with no upfront commitment.

What GPUs are available?

AceCloud offers NVIDIA GPUs including the A30 (confirmed in customer testimonials) and likely other models such as A100 or H100; contact sales for current availability.

Where are AceCloud's data centers?

All data centers are located in India, ensuring data sovereignty and low latency for domestic users. The company operates 3 data centers.

Does AceCloud offer an SLA?

Yes, AceCloud guarantees 99.99% uptime for its infrastructure services.

How does migration assistance work?

AceCloud provides free expert-led migration from other cloud providers, including data transfer, reconfiguration, and testing, with dedicated support throughout the process.