What is the difference between EcoHash and ParalonCloud?

EcoHash and ParalonCloud 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 ParalonCloud?

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 ParalonCloud?

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 8 different GPU models across both EcoHash and ParalonCloud, with 0 models available from both providers.

EcoHash vs ParalonCloud

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

EcoHash

Provider 1

GPUs Available

Visit Website

ParalonCloud

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

ParalonCloud GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 8Both available: 0EcoHash: 1ParalonCloud: 7

Showing 8 of 8 GPUs

Last updated: 10/12/2026, 8:35:43 PM

GPU Model ↑	EcoHash Price	ParalonCloud Price	Price Diff ↕	Sources
RTX 3080 10GB VRAM • ParalonCloud	Not Available	$0.13/hr★ Best	—	ParalonCloud
RTX 3080 10GB VRAM • Not Available ParalonCloud $0.13/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 4090 24GB VRAM • ParalonCloud	Not Available	$0.44/hr★ Best	—	ParalonCloud
RTX 4090 24GB VRAM • Not Available ParalonCloud $0.44/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 12GB VRAM • ParalonCloud	Not Available	$0.16/hr★ Best	—	ParalonCloud
RTX 5060 12GB VRAM • Not Available ParalonCloud $0.16/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 Ti 16GB VRAM • ParalonCloud	Not Available	$0.27/hr★ Best	—	ParalonCloud
RTX 5060 Ti 16GB VRAM • Not Available ParalonCloud $0.27/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5070 Ti 16GB VRAM • ParalonCloud	Not Available	$0.33/hr★ Best	—	ParalonCloud
RTX 5070 Ti 16GB VRAM • Not Available ParalonCloud $0.33/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5090 32GB VRAM • ParalonCloud	Not Available	$0.51/hr★ Best	—	ParalonCloud
RTX 5090 32GB VRAM • Not Available ParalonCloud $0.51/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX A6000 48GB VRAM • ParalonCloud	Not Available	$0.48/hr★ Best	—	ParalonCloud
RTX A6000 48GB VRAM • Not Available ParalonCloud $0.48/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price Not Available EcoHash

RTX 3080 10GB VRAM • ParalonCloud	Not Available	$0.13/hr★ Best	—	ParalonCloud
RTX 3080 10GB VRAM • Not Available ParalonCloud $0.13/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 4090 24GB VRAM • ParalonCloud	Not Available	$0.44/hr★ Best	—	ParalonCloud
RTX 4090 24GB VRAM • Not Available ParalonCloud $0.44/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 12GB VRAM • ParalonCloud	Not Available	$0.16/hr★ Best	—	ParalonCloud
RTX 5060 12GB VRAM • Not Available ParalonCloud $0.16/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 Ti 16GB VRAM • ParalonCloud	Not Available	$0.27/hr★ Best	—	ParalonCloud
RTX 5060 Ti 16GB VRAM • Not Available ParalonCloud $0.27/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5070 Ti 16GB VRAM • ParalonCloud	Not Available	$0.33/hr★ Best	—	ParalonCloud
RTX 5070 Ti 16GB VRAM • Not Available ParalonCloud $0.33/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5090 32GB VRAM • ParalonCloud	Not Available	$0.51/hr★ Best	—	ParalonCloud
RTX 5090 32GB VRAM • Not Available ParalonCloud $0.51/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX A6000 48GB VRAM • ParalonCloud	Not Available	$0.48/hr★ Best	—	ParalonCloud
RTX A6000 48GB VRAM • Not Available ParalonCloud $0.48/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 16Both available: 0EcoHash: 15ParalonCloud: 1

Showing 15 of 16 models

Prices per 1M tokens · Last updated: 10/12/2026, 8:35:43 PM

Model ↑	EcoHash	ParalonCloud	Input Diff ↕
DeepSeek V4 Flash DeepSeek	$0.490 in $1.42 out	Not available	—
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	Not available	—
GLM-5.2 Zhipu	$1.00 in $3.00 out	Not available	—
GLM-5.3 Z AI	$1.25 in $4.30 out	Not available	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	Not available	—
Kimi K3 Moonshot	$2.00 in $12.00 out	Not available	—
Llama 3.1 8B Meta	$0.100 in $0.100 out	Not available	—
MiniMax-M3 MiniMax	$0.200 in $0.900 out	Not available	—
Qwen 3 Coder 30B Alibaba	$0.100 in $0.300 out	Not available	—
Qwen 3.8 Flash Alibaba	$0.090 in $0.370 out	Not available	—
Qwen 3.8 Max Alibaba	$1.90 in $5.70 out	Not available	—
Qwen3 4B Alibaba	Not available	$0.050 in $0.200 out	—
Qwen3 Omni 30B A3B Alibaba	$0.400 in $0.800 out	Not available	—
Qwen3 VL 8B Alibaba	$0.150 in $0.500 out	Not available	—
Qwen3.6 35B A3B Alibaba	$0.400 in $0.400 out	Not available	—

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.

ParalonCloud

Decentralized Infrastructure
Connects developers with distributed GPUs worldwide.
Instant Deployment
Docker-native deployment takes minutes for setup.
Real-time Monitoring
Comprehensive utilization metrics and health status for all nodes.
Competitive Marketplace
Transparent pricing set by individual providers.
Access to ML Frameworks
Pre-configured environments for popular machine learning frameworks.

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

ParalonCloud

Advantages

Access to a wide network of GPUs
No long-term contracts required
Billed only for GPU-minutes consumed
Instant setup and deployment

Considerations

Dependent on performance of individual provider nodes
Spot machines may be reclaimed with short notice
Requires constant internet connection

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.

ParalonCloud

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

ParalonCloud

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.

ParalonCloud

Get Started

1
Sign up
Create an account on the ParalonCloud platform.
2
Add credits
Load your account with credits to rent GPU resources.
3
Select GPU
Choose a GPU from the marketplace based on your needs.
4
Start machine
Launch your selected GPU instance for your workloads.
5
Access resources
Utilize Jupyter Lab, SSH, or REST API to run your tasks.

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.

ParalonCloud

Global Regions

Global availability through independent providers

Support

Support available via email; additional resources may be found on the website.