FluidStack vs Vast.ai Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
FluidStack
https://www.fluidstack.io
FluidStack is a cloud GPU infrastructure provider that aggregates underutilized GPU capacity from data centers worldwide to offer on-demand and reserved GPU compute at competitive prices. The platform enables AI companies, researchers, and developers to access large-scale GPU clusters for training and inference workloads, including support for high-performance interconnects like InfiniBand. FluidStack differentiates itself by sourcing capacity from a distributed network of partner data centers, providing cost-effective alternatives to hyperscale cloud providers for AI/ML workloads.
Vast.ai
https://vast.ai
Vast.ai is a decentralized cloud GPU marketplace that connects individuals and businesses who need GPU compute resources with hosts who have idle GPU hardware available for rent. The platform allows users to rent GPU instances at significantly lower prices than traditional cloud providers by aggregating consumer and data center GPUs from around the world. Vast.ai supports a wide range of use cases including machine learning training, inference, rendering, and other compute-intensive workloads.
Quick Comparison
| Detail | FluidStack | Vast.ai |
|---|---|---|
| Category | AI Cloud Infrastructure | AI Cloud Infrastructure |
| Starting Price | Contact Sales | Contact Sales |
| Plans Available | 1 | 3 |
| Features Tracked | 16 | 16 |
| Founded | 2019 | 2017 |
| Headquarters | London, United Kingdom | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| CLI & SDK | ||
| REST API | ||
| core | ||
| Clusters for Training | ||
| Dedicated GPU Clusters | ||
| Diverse GPU Support | ||
| Fully Managed Clusters | ||
| GPU Marketplace | ||
| H100/H200/B200/GB200 Support | ||
| InfiniBand Interconnects | ||
| Instance Filtering | ||
| Interruptible Instances | ||
| Kubernetes Support | ||
| Low-Latency Inference | ||
| On-Demand Instances | ||
| Per-Second Billing | ||
| Pre-Built Templates | ||
| Rapid Deployment | ||
| Real-Time Pricing | ||
| Reserved Instances | ||
| Serverless Inference | ||
| Slurm Support | ||
| Transparent Pricing | ||
| custom | ||
| Custom Data Centers | ||
| integration | ||
| Distributed Data Access | ||
| security | ||
| Direct Payload Delivery | ||
| SOC2 Certification | ||
| Secure Access Controls | ||
| Single-Tenant Isolation | ||
| support | ||
| 15-Minute Response SLA | ||
| 24/7 Expert Support | ||
| 99% Uptime SLA | ||
| Proactive Monitoring | ||
Pricing
Compare pricing plans and value for money
FluidStack
Contact Sales
Best For
AI companies and researchers needing rapid, cost-effective, fully managed large-scale dedicated GPU clusters for training without hyperscaler lock-in.
Vast.ai
Contact Sales
Price Components
- GPU Usage: $0/second
- GPU Usage: $0/second
- Reserved Capacity: $0/term
Best For
Cost-sensitive ML practitioners and researchers running batch training, inference, or rendering on flexible, preemptible GPU workloads.
Integrations
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Supported Integrations
Coming Soon
Integration comparison data for FluidStack, Vast.ai is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
FluidStack
AI companies and researchers needing rapid, cost-effective, fully managed large-scale dedicated GPU clusters for training without hyperscaler lock-in.
- Rapid deployment of multi-thousand GPU clusters in as little as 48 hours with zero-setup management.
- Single-tenant isolation at hardware, network, and storage levels eliminates noisy neighbors unlike hyperscalers.
- Supports latest NVIDIA H100/H200/B200/GB200 GPUs with InfiniBand and 99% uptime SLA.
- 24/7 engineering support via Slack with 15-minute response times and proactive monitoring.
- Enterprise-only pricing requires contacting sales, lacking transparent pay-as-you-go rates.
- Small team of 11-50 employees and seed funding may limit scalability versus larger competitors.
- Aggregated capacity from partner data centers could introduce variability in global availability.
Vast.ai
Cost-sensitive ML practitioners and researchers running batch training, inference, or rendering on flexible, preemptible GPU workloads.
- Decentralized marketplace aggregates 20,000+ GPUs worldwide, offering 3-6x savings via dynamic real-time pricing over hyperscalers.
- Per-second billing with on-demand, interruptible (50%+ cheaper), and reserved options for flexible cost control.
- Supports diverse high-end GPUs like RTX 4090, A100, H200 with pre-built AI templates and multi-GPU configs.
- Instant deployment via web, CLI, SDK, API, and native Docker for rapid ML training and inference.
- Interruptible instances risk preemption, unsuitable for production needing guaranteed uptime.
- Decentralized peer-to-peer model may yield inconsistent reliability versus managed hyperscaler infrastructure.
- Small team (11-50 employees) limits enterprise-grade support and scale compared to giants like AWS.
Company Info
Company details and background
FluidStack
Vast.ai
Comparison FAQ
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