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About AceCloud
What is AceCloud?
AceCloud is an Indian cloud infrastructure provider designed for AI and production workloads. It offers GPU servers for model training and inference, cloud compute on AMD and Intel instances, managed Kubernetes, S3-compatible object storage, and fully managed databases like PostgreSQL and Redis. With data centers in Noida, Mumbai, and Atlanta, AceCloud focuses on data sovereignty and low-latency performance for Indian businesses.
Problem it solves
AceCloud addresses the high cost and vendor lock-in of hyperscalers like AWS and Azure, especially for Indian teams needing local data residency. It claims up to 60% lower costs, zero egress charges, and free migration assistance. The platform is designed for organizations that want the flexibility of public cloud without the unpredictable pricing or US-based data jurisdiction.
Who is it for?
AceCloud is ideal for startups, enterprises, and AI teams running India-first workloads that require compliance with local data laws or have latency-sensitive applications. It is also a good fit for developers who want to avoid the complexity of hyperscaler quota approvals and prefer same-day GPU provisioning. However, it may not be the best choice for companies needing global edge presence outside India unless they use the Atlanta region.
Real use cases
Typical use cases include training and fine-tuning LLMs on NVIDIA H100 or A100 GPUs, running production web tiers on AMD EPYC instances, scaling containerized microservices with Kubernetes, and storing large datasets in S3-compatible object storage. Managed databases like PostgreSQL and Kafka are also used for SaaS control planes and real-time analytics.
Key features
- GPU Servers — Accelerate model training, inference, and rendering with NVIDIA H100, A100, and RTX GPUs.
- Cloud Compute — Launch AMD EPYC and Intel Xeon instances with NVMe-backed storage for production workloads.
- Managed Databases — Use fully managed PostgreSQL, MySQL, Redis, Kafka, and RabbitMQ with automated provisioning and scaling.
- Kubernetes — Deploy containerized apps with managed Kubernetes, including node autoscaling and lifecycle management.
- Cloud Storage — Store data in S3-compatible object storage, block storage, snapshots, and backups.
- Zero Egress Charges — Enjoy unmetered bandwidth with no additional data transfer fees.
- Free Migration — Get hands-on assistance to move your workloads to AceCloud at no extra cost.
AceCloud Pricing
AceCloud pricing: from ₹2.31/hr (~$0.03/hr).
Standard Instances
Balanced vCPU-to-RAM (1:4) for general-purpose apps. Starts at ₹2.31/hr (₹1,349/month) for S3a.medium (1 vCPU, 4GB RAM). Includes Linux/Windows OS, one public IP, and unmetered bandwidth. Longer commitments offer discounts: 6-month saves 10%, 12-month saves 20%.
GPU Instances
NVIDIA GPU servers (H100, A100, A30, RTX A6000, L4, L40S) for AI workloads. Pricing varies by GPU type; available on-demand or spot. Contact sales for exact quotes.
Free Trial
AceCloud offers a free start with demo booking and a pricing calculator. No setup fees or migration fees are charged.
