What is the difference between EcoHash and GMI Cloud?

EcoHash and GMI Cloud are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: EcoHash or GMI Cloud?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between EcoHash and GMI Cloud?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 5 different GPU models across both EcoHash and GMI Cloud, with 0 models available from both providers.

EcoHash vs GMI Cloud

Compare GPU and LLM inference API pricing between EcoHash and GMI Cloud. Find the best rates for AI training, inference, and ML workloads.

EcoHash

Provider 1

GPUs Available

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GMI Cloud

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

EcoHash GPUs

GMI Cloud GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 5Both available: 0EcoHash: 1GMI Cloud: 4

Showing 5 of 5 GPUs

Last updated: 10/6/2026, 7:57:26 AM

GPU Model ↑	EcoHash Price	GMI Cloud Price	Price Diff ↕	Sources
B200 180GB VRAM • GMI Cloud	Not Available	$4.00/hr★ Best	—	GMI Cloud
B200 180GB VRAM • Not Available GMI Cloud $4.00/hour Updated: 10/2/2026 ★Best Price GMI Cloud
GB200 384GB VRAM • GMI Cloud	Not Available	$8.00/hr★ Best	—	GMI Cloud
GB200 384GB VRAM • Not Available GMI Cloud $8.00/hour Updated: 10/2/2026 ★Best Price GMI Cloud
H100 SXM 80GB VRAM • GMI Cloud	Not Available	$2.00/hr★ Best	—	GMI Cloud
H100 SXM 80GB VRAM • Not Available GMI Cloud $2.00/hour Updated: 10/2/2026 ★Best Price GMI Cloud
H200 141GB VRAM • GMI Cloud	Not Available	$2.60/hr★ Best	—	GMI Cloud
H200 141GB VRAM • Not Available GMI Cloud $2.60/hour Updated: 10/2/2026 ★Best Price GMI Cloud
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/6/2026 ★Best Price Not Available EcoHash

B200 180GB VRAM • GMI Cloud	Not Available	$4.00/hr★ Best	—	GMI Cloud
B200 180GB VRAM • Not Available GMI Cloud $4.00/hour Updated: 10/2/2026 ★Best Price GMI Cloud
GB200 384GB VRAM • GMI Cloud	Not Available	$8.00/hr★ Best	—	GMI Cloud
GB200 384GB VRAM • Not Available GMI Cloud $8.00/hour Updated: 10/2/2026 ★Best Price GMI Cloud
H100 SXM 80GB VRAM • GMI Cloud	Not Available	$2.00/hr★ Best	—	GMI Cloud
H100 SXM 80GB VRAM • Not Available GMI Cloud $2.00/hour Updated: 10/2/2026 ★Best Price GMI Cloud
H200 141GB VRAM • GMI Cloud	Not Available	$2.60/hr★ Best	—	GMI Cloud
H200 141GB VRAM • Not Available GMI Cloud $2.60/hour Updated: 10/2/2026 ★Best Price GMI Cloud
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/6/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 72Both available: 8EcoHash: 13GMI Cloud: 67

Showing 15 of 72 models

Prices per 1M tokens · Last updated: 10/6/2026, 7:57:26 AM

Model ↑	EcoHash	GMI Cloud	Input Diff ↕
DeepSeek R1 DeepSeek	Not available	$0.570 in $2.29 out	—
DeepSeek V3 DeepSeek	Not available	$0.290 in $1.14 out	—
DeepSeek V3.2 DeepSeek	Not available	$0.209 in $0.310 out	—
DeepSeek V4 Flash DeepSeek	Not available	$0.091 in $0.182 out	—
DeepSeek V4 Flash Vision DeepSeek	Not available	$0.440 in $1.32 out	—
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	$0.957 in $1.91 out	$0.047
DeepSeek V4.1 Flash DeepSeek	Not available	$0.180 in $0.720 out	—
Gemini 3 Flash Google	Not available	$0.500 in $3.00 out	—
Gemini 3.1 Flash Lite Google	Not available	$0.250 in $1.50 out	—
Gemini 3.1 Pro Google	Not available	$2.00 in $12.00 out	—
Gemini 3.5 Flash Google	Not available	$1.50 in $9.00 out	—
Gemini 3.5 Flash-Lite Google	Not available	$0.300 in $2.50 out	—
Gemini 3.6 Flash Google	Not available	$1.50 in $7.50 out	—
Gemini 3.7 Flash Google	Not available	$0.750 in $3.75 out	—
Gemini 3.8 Flash Google	Not available	$0.750 in $3.75 out	—

Features Comparison

EcoHash

RTX PRO 6000 GPU Instances
Containerized Linux instances with 1, 2, 4 or 8 RTX PRO 6000 GPUs, with root access, SSH, a browser terminal and Jupyter.
GPU Clusters
Clusters of 2–8 identical replicas launched as one unit.
Per-Second Billing
GPU instances are billed per second of running time at one per-GPU rate across instance, dedicated-inference and cluster workloads.
OpenAI-Compatible Inference API
Pay-per-token access to platform models for chat, embeddings, reranking, image generation, speech-to-text, text-to-speech, voice cloning and video generation at api.ecohash.com.
Dedicated Inference
Deploy a Hugging Face or registered model as a managed endpoint called through the same API and key.
Managed Fine-Tuning
LoRA/QLoRA fine-tuning jobs on 1, 2 or 4 GPUs, billed per minute, with a dataset registry that validates JSONL before any GPU is booked.

GMI Cloud

Serverless Inference
OpenAI-compatible endpoints for LLM and multimodal models with request batching and scaling to zero
Dedicated GPU Compute
Managed Kubernetes clusters, container instances, and bare-metal servers with RDMA-ready networking
Blackwell Capacity
GB200 available and GB300 on pre-order alongside H100, H200, and B200 systems
Studio and AgentBox
Visual workflow builder for multi-step model pipelines plus a marketplace for publishing and using AI agents
Reserved + On-Demand
Both hourly on-demand capacity and longer-term committed reservations are published

Pros & Cons

EcoHash

Advantages

Per-second billing with a single per-GPU rate across instance sizes
96 GB of VRAM per GPU on Blackwell-generation RTX PRO 6000 cards
One OpenAI-compatible API for platform models and dedicated endpoints
Covers GPU rental, fine-tuning and inference on one account

Considerations

Single GPU model (RTX PRO 6000); no H100, H200 or B200 capacity
GPU instances available in the United States only
Fine-tuning limited to LoRA/QLoRA jobs on up to 4 GPUs

GMI Cloud

Advantages

Transparent published per-GPU hourly rates
Access to current Blackwell-generation systems
OpenAI-compatible inference API alongside dedicated GPU clusters

Considerations

Smaller global footprint than hyperscalers
Newer entrant relative to long-established providers
Published GPU catalog covers only datacenter-class parts, with no lower-tier options such as L4 or L40S

Compute Services

EcoHash

RTX PRO 6000 GPU Instances

Containerized Linux GPU instances with SSH, web-terminal and Jupyter access, billed per second at the same per-GPU rate for every size.

GMI Cloud

Pricing Options

EcoHash

GPU instances

Per GPU-hour, billed per second of running time

Inference API

Per token for language models and per second for some media models, with no minimum commitment

Dedicated Inference

Per GPU-hour for the GPUs behind the endpoint

Fine-tuning

Per minute of GPU time

GMI Cloud

On-Demand Containers

Hourly billing for self-serve GPU containers

Reserved Private Cloud

Discounted longer-term reservations of dedicated GPU clusters

Serverless Inference

Per-token billing for LLM endpoints and per-request billing for image and video models

Getting Started

EcoHash

Get Started

1
Create an account
Sign up at console.ecohash.com.
2
Create an API key
Generate a key in the console for the inference API and dedicated endpoints.
3
Call a platform model
Point an OpenAI SDK client at https://api.ecohash.com/v1 and choose a model from the catalog.
4
Launch a GPU instance
Pick a compute template and a 1, 2, 4 or 8 GPU size, then connect over SSH, the browser terminal or Jupyter.

GMI Cloud

Get Started

1
Create an account
Sign up for the GMI Cloud console
2
Pick a GPU and region
Select an on-demand container, bare-metal cluster, or inference endpoint
3
Deploy your workload
Launch via the console or programmatically through the GMI API

Support & Global Availability

EcoHash

Global Regions

GPU instances: United States. Inference API: multi-region routing.

Support

Documentation at docs.ecohash.com and a contact form on ecohash.com; an SLA is published on the website.

GMI Cloud

Global Regions

Data centers in North America and Asia, with region-aware pricing and unified billing

Support

Documentation, self-service console, Discord community, and enterprise support via sales