What is the difference between Atlas Cloud and EcoHash?

Atlas Cloud and EcoHash 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: Atlas Cloud or EcoHash?

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 Atlas Cloud and EcoHash?

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 3 different GPU models across both Atlas Cloud and EcoHash, with 0 models available from both providers.

Atlas Cloud vs EcoHash

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

Atlas Cloud

Provider 1

GPUs Available

Visit Website

EcoHash

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Atlas Cloud GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 3Both available: 0Atlas Cloud: 2EcoHash: 1

Showing 3 of 3 GPUs

Last updated: 10/6/2026, 8:04:14 AM

GPU Model ↑	Atlas Cloud Price	EcoHash Price	Price Diff ↕	Sources
H100 SXM 80GB VRAM • Atlas Cloud	$2.95/hr★ Best	Not Available	—	Atlas Cloud
H100 SXM 80GB VRAM • Atlas Cloud $2.95/hour Updated: 10/5/2026 ★Best Price Not Available Atlas Cloud
H200 141GB VRAM • Atlas Cloud	$3.50/hr★ Best	Not Available	—	Atlas Cloud
H200 141GB VRAM • Atlas Cloud $3.50/hour Updated: 10/5/2026 ★Best Price Not Available Atlas Cloud
RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/6/2026 ★Best Price EcoHash

H100 SXM 80GB VRAM • Atlas Cloud	$2.95/hr★ Best	Not Available	—	Atlas Cloud
H100 SXM 80GB VRAM • Atlas Cloud $2.95/hour Updated: 10/5/2026 ★Best Price Not Available Atlas Cloud
H200 141GB VRAM • Atlas Cloud	$3.50/hr★ Best	Not Available	—	Atlas Cloud
H200 141GB VRAM • Atlas Cloud $3.50/hour Updated: 10/5/2026 ★Best Price Not Available Atlas Cloud
RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/6/2026 ★Best Price EcoHash

LLM API Pricing Comparison

Total models: 13Both available: 0Atlas Cloud: 0EcoHash: 13

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 8:04:14 AM

Model ↑	Atlas Cloud	EcoHash	Input Diff ↕
DeepSeek V4 Pro DeepSeek	Not available	$0.910 in $2.72 out	—
GLM-5.2 Zhipu	Not available	$1.00 in $3.00 out	—
GLM-5.3 Z AI	Not available	$1.25 in $4.30 out	—
GPT-OSS-20B OpenAI	Not available	$0.050 in $0.200 out	—
Kimi K3 Moonshot	Not available	$2.00 in $12.00 out	—
Llama 3.1 8B Meta	Not available	$0.100 in $0.100 out	—
MiniMax-M3 MiniMax	Not available	$0.200 in $0.900 out	—
Qwen 3 Coder 30B Alibaba	Not available	$0.100 in $0.300 out	—
Qwen 3.8 Flash Alibaba	Not available	$0.090 in $0.370 out	—
Qwen 3.8 Max Alibaba	Not available	$1.90 in $5.70 out	—
Qwen3 Omni 30B A3B Alibaba	Not available	$0.400 in $0.800 out	—
Qwen3 VL 8B Alibaba	Not available	$0.150 in $0.500 out	—
Qwen3.6 35B A3B Alibaba	Not available	$0.400 in $0.400 out	—

Features Comparison

Atlas Cloud

400+ AI Models
Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, MiniMax, and more
OpenAI-Compatible API
Drop-in replacement for OpenAI SDK - just change the base URL and API key
Multi-Modal Support
Text, image, video, and audio generation through consistent API patterns
MCP Integration
Use Atlas Cloud AI models directly in Cursor, Claude Desktop, VS Code, and more
GPU Cloud Services
Deploy custom models with Serverless GPU or rent DevPods for development
CLI
Run chat, model discovery, and image or video generation from the terminal

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.

Pros & Cons

Atlas Cloud

Advantages

Unified API for 400+ AI models from multiple providers
OpenAI-compatible interface for easy migration
Multi-modal capabilities (text, image, video, audio)
Developer-friendly with comprehensive documentation

Considerations

Relatively new platform compared to established providers
GPU cloud offering is secondary to API aggregation service
Limited GPU infrastructure details compared to dedicated GPU clouds

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

Compute Services

Atlas Cloud

Model APIs

Access to 400+ AI models through unified API

GPU Cloud

Deploy custom models and development environments

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.

Pricing Options

Atlas Cloud

Pay-as-you-go

Transparent pricing with volume discounts available for API usage

GPU Cloud Pricing

Flexible pricing for serverless GPU deployments and development pods

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

Getting Started

Atlas Cloud

Get Started

1
Create an account
Sign up for an account at console.atlascloud.ai
2
Get your API key
Generate API keys for authentication
3
Make your first API call
Start using 400+ AI models through the unified API

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.

Support & Global Availability

Atlas Cloud

Global Regions

Managed inference infrastructure; specific regions are not published

Support

Comprehensive API documentation, SDK support, FAQ, and contact support

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.