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Compare GPU and LLM inference API pricing between Aquanode and EcoHash. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Aquanode Price | EcoHash Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
HGX B300 288GB VRAM • Aquanode | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
MI300X 192GB VRAM • Aquanode | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
HGX B300 288GB VRAM • Aquanode | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
MI300X 192GB VRAM • Aquanode | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Aquanode | EcoHash | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.910 in $2.72 out | — |
Zhipu | Not available | $1.00 in $3.00 out | — |
Z AI | Not available | $1.25 in $4.30 out | — |
Moonshot | Not available | $2.00 in $12.00 out | — |
Meta | Not available | $0.100 in $0.100 out | — |
MiniMax | Not available | $0.200 in $0.900 out | — |
Alibaba | Not available | $0.150 in $0.500 out | — |
Alibaba | Not available | $0.090 in $0.370 out | — |
Alibaba | Not available | $1.90 in $5.70 out | — |
Alibaba | Not available | $0.400 in $0.800 out | — |
Alibaba | Not available | $0.400 in $0.400 out | — |
Explore how these providers compare to other popular GPU cloud services
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Compare Aquanode with another leading provider
Compare Aquanode with another leading provider
Compare Aquanode with another leading provider
Compare Aquanode with another leading provider
Compare Aquanode 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.