Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Crusoe delivers a cloud infrastructure tailored for artificial intelligence tasks, equipped with cutting-edge GPU capabilities and top-tier data centers. This platform is engineered for AI-centric computing, showcasing high-density racks alongside innovative direct liquid-to-chip cooling to enhance overall performance. Crusoe’s infrastructure guarantees dependable and scalable AI solutions through features like automated node swapping and comprehensive monitoring, complemented by a dedicated customer success team that assists enterprises in rolling out production-level AI workloads. Furthermore, Crusoe emphasizes environmental sustainability by utilizing clean, renewable energy sources, which enables them to offer economical services at competitive pricing. With a commitment to excellence, Crusoe continuously evolves its offerings to meet the dynamic needs of the AI landscape.
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.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Claude Code
No
Codex CLI
No
Hugging Face
No
Kubernetes
Yes
Model Context Protocol (MCP)
No
NVIDIA DGX Cloud Lepton
Yes
OpenAI
No
Shadeform
Yes
Integrations
Claude Code
Yes
Codex CLI
Yes
Hugging Face
Yes
Kubernetes
No
Model Context Protocol (MCP)
Yes
NVIDIA DGX Cloud Lepton
No
OpenAI
Yes
Shadeform
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.02/1M tokens
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.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Crusoe
Founded
2018
Country
United States
Website
crusoe.ai/
Vendor Details
Company Name
EcoHash Platform Technology
Founded
2025
Country
United States
Website
ecohash.com
Product Features
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
No
Configuration Management
No
Data Migration
No
Data Security
No
Load Balancing
No
Log Access
No
Network Monitoring
No
Performance Monitoring
No
SLA Monitoring
No