EcoHashEcoHash Platform Technology
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About
EcoHash is a cloud platform for AI compute and model serving. It provides on-demand NVIDIA RTX Pro 6000 GPU workspaces and clusters, persistent cloud drives and shared filesystems, dataset validation, managed LoRA and QLoRA fine-tuning, dedicated model endpoints, and an inference API for text, vision, embeddings, reranking, image, and speech workloads. Developers can run their own containers or deploy open models and call platform or dedicated models through an OpenAI-compatible API. A browser console, SSH, JupyterLab, Compute API, and MCP tools support building, training, deploying, and managing workloads. EcoHash serves AI developers and platforms, including startups and cloud providers, and energy and mining operators developing AI compute infrastructure.
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About
IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI developers and AI platforms—including startups, GPU marketplaces, and cloud providers—building or running AI models. The company also addresses energy and Bitcoin-mining operators interested in supplying infrastructure for AI inference.
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Audience
AI engineers, data scientists, and research teams who need GPU-accelerated cloud servers to train machine learning models and process large computational workloads
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
$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 Version
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Free Trial
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Pricing
$3,990 per month
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
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In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationEcoHash Platform Technology
Founded: 2025
United States
ecohash.com
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Company InformationIONOS
Founded: 1988
Germany
cloud.ionos.com/servers/gpu-server
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Categories |
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Integrations
Claude Code
Supported
Codex CLI
Supported
Hugging Face
Supported
IONOS
Not Supported
Intel Gaudi Software
Not Supported
Model Context Protocol (MCP)
Supported
NVIDIA virtual GPU
Not Supported
OpenAI
Supported
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Integrations
Claude Code
Not Supported
Codex CLI
Not Supported
Hugging Face
Not Supported
IONOS
Supported
Intel Gaudi Software
Supported
Model Context Protocol (MCP)
Not Supported
NVIDIA virtual GPU
Supported
OpenAI
Not Supported
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