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Compare GPU and LLM inference API pricing between Hyperstack and Replicate. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Hyperstack Price | Replicate Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Hyperstack | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Hyperstack | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Hyperstack | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • Hyperstack | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Hyperstack | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperstack | 2x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Hyperstack | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Hyperstack | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A4000 16GB VRAM • Hyperstack | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • Hyperstack | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Hyperstack | 2x GPU | Not Available | — | |
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Hyperstack | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Hyperstack | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Hyperstack | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • Hyperstack | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Hyperstack | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperstack | 2x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Hyperstack | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Hyperstack | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A4000 16GB VRAM • Hyperstack | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • Hyperstack | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Hyperstack | 2x GPU | Not Available | — | |
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Hyperstack | Replicate | Input Diff ↕ |
|---|---|---|---|
Anthropic | Not available | $0.0000 in $3.00 out | — |
OpenAI | $0.100 in $0.400 out | Not available | — |
Meta | $0.200 in $0.200 out | Not available | — |
Meta | $0.800 in $0.800 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
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Compare Hyperstack with another leading provider
Compare Hyperstack with another leading provider
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Compare Hyperstack with another leading provider
Compare Hyperstack with another leading provider
Automated software deployment, scaling and management
Optimized templates for GPU-accelerated workloads with custom flavor options
Purpose-built API designed specifically for GPU cloud operations
Network architecture optimized for maximum GPU efficiency
Multiple storage options including NVMe, HDD block, and HDD Shared storage
Access thousands of open-source models including LLMs, image generators, and more
Consistent REST API across all models with webhooks for async processing
Deploy your own models using Cog containerization
Automatic scaling with cold-start optimization
Range of NVIDIA GPU options for various workloads with flexible pricing
Configure per‑GPU CPU/RAM with transparent published pricing.
Charged per model run based on compute time and hardware
Limited free predictions for new users
Sign up for Hyperstack cloud services
Select from pre-configured flavors or create custom ones
Launch GPU instances with 1-click deployment
Sign up at replicate.com with GitHub or email
Copy your API token from account settings
Use the API or Python client to run any model
Data centers in Europe and North America
Human support team, documentation, and developer resources
US-based infrastructure with global CDN
Documentation, Discord community, email support