What is the difference between AceCloud and Fluidstack?

AceCloud and Fluidstack are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: AceCloud or Fluidstack?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between AceCloud and Fluidstack?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

AceCloud vs Fluidstack GPU Cloud Pricing 2026

GPU Pricing Comparison

No GPU pricing data available for comparison between AceCloud and Fluidstack.

Features Comparison

AceCloud

Fluidstack

Atlas OS
Bare-metal OS for AI infrastructure with fast provisioning, smooth orchestration, and total ownership
Lighthouse
Monitoring and optimization system that catches problems before they impact workloads
Single-Tenant by Default
Fully isolated infrastructure at hardware, network, and storage levels with no shared clusters
24/7 Engineering Support
Direct engineering support with 15-minute response SLA and secure access controls
No Hidden Fees
No egress or ingress fees, with on-node NVMe storage included
Performance Guarantee
Clusters tested to deliver 95%+ of theoretical performance from day one

Pros & Cons

AceCloud

Advantages

24/7 human support with dedicated cloud experts (no bots)
Transparent pricing with no hidden fees and pay-as-you-go model
Minute-level billing and hibernation options for cost optimization
Multi-GPU HGX configurations and specialized AI/ML hardware

Considerations

Limited data center presence outside India and USA
Newer player in the global cloud market
Primarily focused on Indian market

Fluidstack

Advantages

Purpose-built infrastructure for AI workloads with enterprise partnerships
Large-scale GPU availability with rapid deployment capabilities
Fully managed SLURM or Kubernetes orchestration
No data transfer fees and included local storage

Considerations

Enterprise-focused platform may be complex for small-scale users
Primary focus on AI and ML workloads may not suit general compute needs
Newer player compared to established hyperscale cloud providers

Compute Services

AceCloud

Fluidstack

GPU Clusters

Dedicated, high-performance GPU clusters that are fully isolated, fully managed, and always available.

Pricing Options

AceCloud

Fluidstack

Reserved Clusters

Designed for large-scale training and inference, deployed on fully managed cloud infrastructure. 256-10,000+ GPUs with monthly or annual terms and discounted rates.

On Demand

Launch GPU instances in under 5 minutes and seamlessly scale to 100s of GPUs on-demand. 8-4,000+ GPUs with hourly billing.

Private Cloud

Custom dedicated clusters for complex needs with flexible terms and region-specific deployments.

Getting Started

AceCloud

Get Started

Fluidstack

Get Started

1
Contact expert
Talk to a Fluidstack expert to discuss your specific AI infrastructure needs
2
Request pricing
Get custom pricing for your GPU cluster requirements
3
Deploy infrastructure
Launch your dedicated GPU cluster with fully managed support

Support & Global Availability

AceCloud

Fluidstack