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What is TensorWave?

TensorWave is a dedicated cloud platform tailored for artificial intelligence and high-performance computing, exclusively leveraging AMD Instinct Series GPUs to guarantee peak performance. It boasts a robust infrastructure that is both high-bandwidth and memory-optimized, allowing it to effortlessly scale to meet the demands of even the most challenging training or inference workloads. Users can quickly access AMD’s premier GPUs within seconds, including cutting-edge models like the MI300X and MI325X, which are celebrated for their impressive memory capacity and bandwidth, featuring up to 256GB of HBM3E and speeds reaching 6.0TB/s. The architecture of TensorWave is enhanced with UEC-ready capabilities, advancing the future of Ethernet technology for AI and HPC networking, while its direct liquid cooling systems contribute to a significantly lower total cost of ownership, yielding energy savings of up to 51% in data centers. The platform also integrates high-speed network storage, delivering transformative enhancements in performance, security, and scalability essential for AI workflows. In addition, TensorWave ensures smooth compatibility with a diverse array of tools and platforms, accommodating multiple models and libraries to enrich the user experience. This platform not only excels in performance and efficiency but also adapts to the rapidly changing landscape of AI technology, solidifying its role as a leader in the industry. Overall, TensorWave is committed to empowering users with cutting-edge solutions that drive innovation and productivity in AI initiatives.

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

Media

No images available

Integrations Supported

Hugging Face
AMD Radeon ProRender
Axolotl
LLaMA-Factory
Meta AI
Mosaic
Ollama
PyTorch
Shadeform
Supermicro MicroCloud
TensorFlow

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

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

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

TensorWave

Company Location

United States

Company Website

tensorwave.com

Company Facts

Organization Name

EcoHash Platform Technology

Date Founded

2025

Company Location

United States

Company Website

ecohash.com

Categories and Features

AI Cloud Providers

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

AI/ML Model Training

Not specified

Bare Metal Server

Not specified

Cloud GPU

Not specified

Categories and Features

AI Cloud Providers

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

Cloud GPU

Not specified

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