Fluidstack vs RunPod
Compare GPU and LLM inference API pricing between Fluidstack and RunPod. Find the best rates for AI training, inference, and ML workloads.
Fluidstack
Provider 1
RunPod
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Fluidstack Price | RunPod Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • RunPod | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • RunPod | Not Available | — | ||
RTX 3080 Ti 12GB VRAM • | ||||
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • RunPod | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • RunPod | Not Available | — | ||
RTX 3080 Ti 12GB VRAM • | ||||
Features Comparison
Fluidstack
RunPod
- Secure Cloud GPUs
Access to a wide range of GPU types with enterprise-grade security
- Pay-as-you-go
Only pay for the compute time you actually use
- API Access
Programmatically manage your GPU instances via REST API
- Fast cold-starts
Pods typically ready in 20-30 s
- Hot-reload dev loop
SSH & VS Code tunnels built-in
- Spot-to-on-demand fallback
Automatic migration on pre-empt
Pros & Cons
Fluidstack
Advantages
- Highly cost-effective (30-80% lower costs compared to major cloud providers)
- Large-scale GPU availability (10,000+ NVIDIA H100 GPUs deployed)
- Rapid deployment and scaling capabilities
- Fully managed infrastructure with 24/7 support
Considerations
- Relatively newer and smaller compared to major cloud providers
- Primary focus on AI and ML workloads may not suit all use cases
- Limited global presence compared to hyperscalers
RunPod
Advantages
- Competitive pricing with pay-per-second billing
- Wide variety of GPU options
- Simple and intuitive interface
Considerations
- GPU availability can vary by region
- Some features require technical knowledge
Compute Services
Fluidstack
GPU Instances
On‑demand dedicated GPUs for AI workloads with competitive pricing.
RunPod
Pods
On‑demand single‑node GPU instances with flexible templates and storage.
Instant Clusters
Spin up multi‑node GPU clusters in minutes with auto networking.
Pricing Options
Fluidstack
RunPod
Getting Started
Fluidstack
RunPod
- 1
Create an account
Sign up for RunPod using your email or GitHub account
- 2
Add payment method
Add a credit card or cryptocurrency payment method
- 3
Launch your first pod
Select a template and GPU type to launch your first instance
Support & Global Availability
Fluidstack
RunPod
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