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Compare GPU and LLM inference API pricing between EcoHash and GPU Outlet. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.30/hour between comparable GPUs
| GPU Model ↑ | EcoHash Price | GPU Outlet Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • GPU Outlet | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • GPU Outlet | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • GPU Outlet | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • GPU Outlet | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • GPU Outlet | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • GPU Outlet | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • GPU Outlet | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • GPU Outlet | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • GPU Outlet | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • GPU Outlet | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • GPU Outlet | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • GPU Outlet | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • GPU Outlet | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • GPU Outlet | Not Available | — | ||
MI300X 192GB VRAM • | ||||
Quadro P4000 8GB VRAM • GPU Outlet | Not Available | — | ||
Quadro P4000 8GB VRAM • | ||||
A10 24GB VRAM • GPU Outlet | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • GPU Outlet | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • GPU Outlet | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • GPU Outlet | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • GPU Outlet | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • GPU Outlet | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • GPU Outlet | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • GPU Outlet | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • GPU Outlet | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • GPU Outlet | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • GPU Outlet | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • GPU Outlet | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • GPU Outlet | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • GPU Outlet | Not Available | — | ||
MI300X 192GB VRAM • | ||||
Quadro P4000 8GB VRAM • GPU Outlet | Not Available | — | ||
Quadro P4000 8GB VRAM • | ||||
| Model ↑ | EcoHash | GPU Outlet | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.910 in $2.72 out | Not available | — |
Zhipu | $1.00 in $3.00 out | Not available | — |
Moonshot | $2.00 in $12.00 out | Not available | — |
Meta | $0.100 in $0.100 out | Not available | — |
MiniMax | $0.200 in $0.900 out | Not available | — |
Alibaba | $0.150 in $0.500 out | Not available | — |
Alibaba | $0.400 in $0.400 out | Not available | — |
Alibaba | $1.90 in $5.70 out | Not available | — |
Alibaba | $0.400 in $0.400 out | Not available | — |
OpenAI | $100.00 in $0.0000 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Offers configurations with 1, 2, 4, or 8 RTX Pro 6000 GPUs.
Supports automatic selection of LoRA/QLoRA fine-tuning over 1-4 GPUs.
Provides an API compatible with OpenAI for various AI models.
Users get full root access with shared filesystems on RTX Pro environments.
Inference endpoints can be deployed across multiple regions with failover.
Users can access GPU resources as needed without long-term commitments.
Scalable infrastructure to meet varying workload demands.
Compatible with popular machine learning and data processing frameworks.
Provides an intuitive dashboard for resource management.
Infrastructure located in multiple regions for improved latency.
Create an account on the EcoHash platform.
Select the desired GPU instances for your project.
Consult the EcoHash documentation to understand available features.
Launch your GPU environment for training or inference.
Start using the API for model inference or training tasks.
Create an account on the StripeM platform.
Choose the desired GPU instance type and configuration.
Launch your GPU resources for immediate use.
Access your deployed instances via SSH or other methods.
Utilize the dashboard to track resource consumption.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
Available in multiple regions including North America and Europe.
Support is available via email and in-app chat.