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Compare GPU and LLM inference API pricing between Atlas Cloud and EcoHash. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Atlas Cloud Price | EcoHash Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
H100 SXM 80GB VRAM • Atlas Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Atlas Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Atlas Cloud | 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 | $1.90 in $5.70 out | — |
Alibaba | Not available | $0.400 in $0.800 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, MiniMax, and more
Drop-in replacement for OpenAI SDK - just change the base URL and API key
Text, image, video, and audio generation through consistent API patterns
Use Atlas Cloud AI models directly in Cursor, Claude Desktop, VS Code, and more
Deploy custom models with Serverless GPU or rent DevPods for development
Run chat, model discovery, and image or video generation from the terminal
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.
Access to 400+ AI models through unified API
Deploy custom models and development environments
Transparent pricing with volume discounts available for API usage
Flexible pricing for serverless GPU deployments and development pods
Sign up for an account at console.atlascloud.ai
Generate API keys for authentication
Start using 400+ AI models through the unified API
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.
Managed inference infrastructure; specific regions are not published
Comprehensive API documentation, SDK support, FAQ, and contact support
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.