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Compare GPU and LLM inference API pricing between EcoHash and GMI Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | EcoHash Price | GMI Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 180GB VRAM • GMI Cloud | Not Available | — | ||
B200 180GB VRAM • | ||||
GB200 384GB VRAM • GMI Cloud | Not Available | — | ||
GB200 384GB VRAM • | ||||
H100 SXM 80GB VRAM • GMI Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • GMI Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
B200 180GB VRAM • GMI Cloud | Not Available | — | ||
B200 180GB VRAM • | ||||
GB200 384GB VRAM • GMI Cloud | Not Available | — | ||
GB200 384GB VRAM • | ||||
H100 SXM 80GB VRAM • GMI Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • GMI Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | EcoHash | GMI Cloud | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.570 in $2.29 out | — |
DeepSeek | Not available | $0.290 in $1.14 out | — |
DeepSeek | Not available | $0.209 in $0.310 out | — |
DeepSeek | Not available | $0.091 in $0.182 out | — |
DeepSeek | Not available | $0.440 in $1.32 out | — |
DeepSeek | $0.910 in $2.72 out | $0.957 in $1.91 out | $0.047 |
DeepSeek | Not available | $0.285 in $1.14 out | — |
Google | Not available | $0.500 in $3.00 out | — |
Google | Not available | $0.250 in $1.50 out | — |
Google | Not available | $2.00 in $12.00 out | — |
Google | Not available | $1.50 in $9.00 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $1.50 in $7.50 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Google | Not available | $0.750 in $3.75 out | — |
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.
OpenAI-compatible endpoints for LLM and multimodal models with request batching and scaling to zero
Managed Kubernetes clusters, container instances, and bare-metal servers with RDMA-ready networking
GB200 available and GB300 on pre-order alongside H100, H200, and B200 systems
Visual workflow builder for multi-step model pipelines plus a marketplace for publishing and using AI agents
Both hourly on-demand capacity and longer-term committed reservations are published
Hourly billing for self-serve GPU containers
Discounted longer-term reservations of dedicated GPU clusters
Per-token billing for LLM endpoints and per-request billing for image and video models
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 for the GMI Cloud console
Select an on-demand container, bare-metal cluster, or inference endpoint
Launch via the console or programmatically through the GMI API
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
Data centers in North America and Asia, with region-aware pricing and unified billing
Documentation, self-service console, Discord community, and enterprise support via sales