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EcoHash
Platform for AI infrastructure and models
GPU-focused🇺🇸 USaigpuinference
Last reviewed Aug 28, 2026
Cloud provider specializing in GPU rentals for AI applications, offering various services including inference and fine-tuning.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: September 4, 2026
| RTX PRO 6000 | $1.89/hr 1× | 1× |
EcoHash pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
LLM API Pricing
Pay-per-token pricing. Prices shown per 1M tokens.
Prices last updated: September 5, 2026
| Model | Input/1M | Output/1M | |||
|---|---|---|---|---|---|
| $0.100 | $0.100 | ||||
| $0.150 | $0.500 | ||||
| $0.200 | $0.900 | ||||
| $0.400 | $0.400 | ||||
| $0.400 | $0.800 | ||||
| $0.400 | $0.400 | ||||
| $0.910 | $2.72 | ||||
| $1.00 | $3.00 | ||||
| $1.25 | $4.30 | ||||
| $1.90 | $5.70 | ||||
EcoHash pricing by model
Input, output, and batch rates, plus alternatives, for one model at a time.
Pros & Cons
Advantages
- Offers a variety of GPU configurations
- API compatibility with OpenAI SDK
- Flexible pricing models based on usage
- Robust infrastructure for AI applications
- Support for fine-tuning and model management
Limitations
- No pricing details available publicly
- Limited information on regional availability
- Setup may require technical knowledge
Key Features
Multiple GPU Options
Offers configurations with 1, 2, 4, or 8 RTX Pro 6000 GPUs.
Managed LoRA Fine-Tuning
Supports automatic selection of LoRA/QLoRA fine-tuning over 1-4 GPUs.
Inference API
Provides an API compatible with OpenAI for various AI models.
Workspace with Root Access
Users get full root access with shared filesystems on RTX Pro environments.
Multi-Region Deployment
Inference endpoints can be deployed across multiple regions with failover.
Availability & Support
Regions
Available across multiple global regions, including the Americas.
Support
Offers support via documentation and community channels.
Getting Started
- 1
Sign Up
Create an account on the EcoHash platform.
- 2
Choose a GPU Configuration
Select the desired GPU instances for your project.
- 3
Access Documentation
Consult the EcoHash documentation to understand available features.
- 4
Deploy Your Environment
Launch your GPU environment for training or inference.
- 5
Utilize APIs
Start using the API for model inference or training tasks.
Frequently Asked Questions
What GPU types does EcoHash offer?
EcoHash offers various GPU types including RTX PRO 6000. Check the pricing table above for current availability and pricing.
How do I get started with EcoHash?
Sign Up, Choose a GPU Configuration, Access Documentation, Deploy Your Environment, Utilize APIs
What are EcoHash's main advantages?
EcoHash's main advantages include: Offers a variety of GPU configurations, API compatibility with OpenAI SDK, Flexible pricing models based on usage, Robust infrastructure for AI applications, Support for fine-tuning and model management.
What are EcoHash's limitations?
EcoHash's main limitations include: No pricing details available publicly, Limited information on regional availability, Setup may require technical knowledge.
Compare Providers
Find the best prices for the same GPUs and models from other providers
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