EcoHash Description

EcoHash is an innovative cloud platform designed for AI computation and model serving. It offers flexible access to NVIDIA RTX Pro 6000 GPU workspaces and clusters, along with persistent cloud storage and shared filesystems. Users can benefit from features such as dataset validation, managed LoRA and QLoRA fine-tuning, dedicated model endpoints, and an inference API that caters to diverse workloads including text, vision, embeddings, reranking, image processing, and speech tasks. Developers have the option to run their own containers or implement open-source models, utilizing an OpenAI-compatible API to interact with both platform and dedicated models. The ecosystem is enriched with tools like a browser console, SSH, JupyterLab, Compute API, and MCP tools to facilitate the building, training, deployment, and management of various workloads. EcoHash is tailored for AI developers and platforms, serving a wide range of users that includes startups, cloud service providers, and operators in the energy and mining sectors who are focused on developing AI compute infrastructures. This comprehensive platform ensures that users can efficiently harness AI capabilities while managing their resources effectively.

Pricing

Pricing Starts At:
$0.02/1M tokens
Pricing Information:
Inference API usage starts at $0.02 per million input tokens for Jina-Embeddings-V3; other models and modalities have separate usage rates. RTX Pro 6000 GPU instances, clusters, and dedicated inference cost $1.89 per GPU-hour, billed per second with no minimum commitment. Storage starts at $5 per month for 50 GB; reserved nodes are contract-priced. A $1 signup credit is offered.

Integrations

API:
Yes, EcoHash has an API

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Company Details

Company:
EcoHash Platform Technology
Year Founded:
2025
Headquarters:
United States
Website:
ecohash.com

Media

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

EcoHash Features and Options

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