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Compare GPU and LLM inference API pricing between EcoHash and Oblivus. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | EcoHash Price | Oblivus Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Oblivus | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Oblivus | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Oblivus | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX 4090 24GB VRAM • Oblivus | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Oblivus | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Oblivus | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Oblivus | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Oblivus | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Oblivus | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX 4090 24GB VRAM • Oblivus | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Oblivus | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | EcoHash | Oblivus | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.910 in $2.72 out | Not available | — |
Zhipu | $1.00 in $3.00 out | Not available | — |
Z AI | $1.25 in $4.30 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 | $0.090 in $0.370 out | Not available | — |
Alibaba | $1.90 in $5.70 out | Not available | — |
Alibaba | $0.400 in $0.800 out | Not available | — |
Alibaba | $0.400 in $0.400 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.
Per-GPU rates published for each instance type, with multi-GPU pricing scaling linearly
H100 SXM5, NVLink and PCIe SKUs published separately for tradeoffs in interconnect
Significant savings versus on-demand for longer-term commitments
Hourly billing with multi-GPU pricing scaling linearly from per-GPU rates
Discounted longer-term commitments, with savings around 25–50% versus on-demand depending on GPU
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.
Sign up at the Oblivus console
Choose an on-demand instance or request a reservation
Provision via console or API and connect over SSH
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
Data centers across multiple regions
Documentation and ticket-based support