Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Selecting the appropriate GPUs and deployment strategies can be quite intricate. Whether you are leaning towards on-site installations or utilizing cloud services, Arc Compute offers specialized insights to optimize your infrastructure planning while enhancing performance. At Arc Compute, our process begins with a thorough assessment of your unique AI or HPC goals. Following this, our experts design tailored GPU infrastructure solutions, accommodating everything from temporary rentals for peak usage to permanent clusters for continuous training demands. We conduct comprehensive consultations to determine the most effective GPU configurations and deployment models, which may include cloud, on-premises, or hybrid options. Our services include prompt sourcing and delivery of NVIDIA GPU servers, along with the management of all vendor relationships. We also provide seamless installation and continuous support to maintain the optimal functioning of your GPU infrastructure. With our collaborative and consultative approach, we ensure that you achieve the ideal combination of performance, cost-effectiveness, and scalability. This commitment to understanding each client's unique needs sets us apart in the industry.
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
Model Context Protocol (MCP)
No
OpenAI
No
Integrations
Claude Code
Yes
Codex CLI
Yes
Hugging Face
Yes
Model Context Protocol (MCP)
Yes
OpenAI
Yes
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
Yes
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)
Yes
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Arc Compute
Country
United States
Website
www.arccompute.io
Vendor Details
Company Name
EcoHash Platform Technology
Founded
2025
Country
United States
Website
ecohash.com