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Compare GPU and LLM inference API pricing between EcoHash and Scaleway. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | EcoHash Price | Scaleway Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
H100 SXM 80GB VRAM • Scaleway | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
HGX B300 288GB VRAM • Scaleway | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • Not Available $8.60/hour 8x GPU configuration Updated: 9/20/2026 ★Best Price | ||||
L4 24GB VRAM • Scaleway | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Scaleway | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Scaleway | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
HGX B300 288GB VRAM • Scaleway | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • Not Available $8.60/hour 8x GPU configuration Updated: 9/20/2026 ★Best Price | ||||
L4 24GB VRAM • Scaleway | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Scaleway | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | EcoHash | Scaleway | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.910 in $2.72 out | Not available | — |
Google | Not available | $0.286 in $0.573 out | — |
Zhipu | $1.00 in $3.00 out | $2.06 in $6.30 out | $1.06 |
Z AI | $1.25 in $4.30 out | Not available | — |
OpenAI | Not available | $0.172 in $0.688 out | — |
Moonshot | $2.00 in $12.00 out | Not available | — |
Meta | $0.100 in $0.100 out | Not available | — |
Meta | Not available | $1.03 in $1.03 out | — |
MiniMax | $0.200 in $0.900 out | Not available | — |
Mistral | Not available | $1.72 in $8.60 out | — |
Alibaba | Not available | $0.229 in $0.917 out | — |
Alibaba | $0.150 in $0.500 out | Not available | — |
Alibaba | $0.090 in $0.370 out | Not available | — |
Alibaba | $1.90 in $5.70 out | Not available | — |
Alibaba | $0.400 in $0.800 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.
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.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.