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What is Velda?

Velda provides a comprehensive development environment that enables developers to run jobs effortlessly in the cloud or cluster, eliminating the need for extra setup. This streamlined access ensures that developers can instantly utilize computational resources, including GPUs, which are crucial for various tasks such as machine learning training, simulations, and batch processing, all while maintaining a user experience similar to local environments and offering extensive customization options. In addition, this solution enhances workflow efficiency, allowing teams to prioritize innovation over the complexities of infrastructure management. By minimizing the hurdles associated with setup and resource allocation, Velda empowers developers to be more productive and creative in their projects.

What is EcoHash?

EcoHash is a cutting-edge cloud platform engineered for artificial intelligence computation and model deployment. It provides versatile access to NVIDIA RTX Pro 6000 GPU workspaces and clusters, complemented by persistent cloud storage and shared filesystems. Users can take advantage of features like dataset validation, managed LoRA and QLoRA fine-tuning, dedicated model endpoints, and an inference API that supports a variety of workloads, including text, vision, embeddings, reranking, image processing, and speech tasks. Developers can choose to operate their own containers or deploy open-source models while leveraging an OpenAI-compatible API for interaction with both the platform and specialized models. The ecosystem is enhanced with a suite of tools such as a browser console, SSH, JupyterLab, Compute API, and MCP tools, all aimed at streamlining the processes of building, training, deploying, and managing different workloads. EcoHash is specifically designed for AI developers and platforms, catering to a broad spectrum of users, including startups, cloud service providers, and operators in the energy and mining industries who are focused on constructing AI compute infrastructures. This all-encompassing platform guarantees that users can optimize their use of AI capabilities while effectively managing their resources, making it an essential asset for any organization looking to leverage advanced AI technologies. Furthermore, EcoHash fosters collaboration among developers, enhancing innovation within the AI community.

Media

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Media

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Integrations Supported

Amazon EC2
Google Compute Engine
Kubernetes

Integrations Supported

Claude Code
Codex CLI
Hugging Face
Model Context Protocol (MCP)
OpenAI

API Availability

API Availability

Has API

Pricing Information

Open source available.
Contact for enterprise pricing.
Free Version

Pricing Information

$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.

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Velda

Date Founded

2025

Company Location

United States

Company Website

velda.io

Company Facts

Organization Name

EcoHash Platform Technology

Date Founded

2025

Company Location

United States

Company Website

ecohash.com

Categories and Features

Application Development

Access Controls/Permissions
Deployment Management
Graphical User Interface
Software Development

Categories and Features

AI Cloud Providers

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

Cloud GPU

Not specified

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