What is the difference between EcoHash and Google Cloud?

EcoHash and Google 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 Google 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 Google 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 9 different GPU models across both EcoHash and Google Cloud, with 0 models available from both providers.

EcoHash vs Google Cloud

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

EcoHash

Provider 1

GPUs Available

Visit Website

Google Cloud

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

Google Cloud GPUs

Direct Comparisons

Average Price Difference: $0.18/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 9Both available: 1EcoHash: 1Google Cloud: 9

Showing 9 of 9 GPUs

Last updated: 10/12/2026, 6:44:54 PM

GPU Model ↑	EcoHash Price	Google Cloud Price	Price Diff ↕	Sources
A100 SXM 80GB VRAM • Google Cloud	Not Available	$3.04/hr★ Best	—	Google Cloud
A100 SXM 80GB VRAM • Not Available Google Cloud $3.04/hour Updated: 10/12/2026 ★Best Price Google Cloud
A100 SXM 40GB 40GB VRAM • Google Cloud	Not Available	$1.22/hr★ Best 16x GPU	—	Google Cloud
A100 SXM 40GB 40GB VRAM • Not Available Google Cloud $1.22/hour 16x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
B200 180GB VRAM • Google Cloud	Not Available	$4.95/hr★ Best 8x GPU	—	Google Cloud
B200 180GB VRAM • Not Available Google Cloud $4.95/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
H100 SXM 80GB VRAM • Google Cloud	Not Available	$4.86/hr★ Best 8x GPU	—	Google Cloud
H100 SXM 80GB VRAM • Not Available Google Cloud $4.86/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
H200 141GB VRAM • Google Cloud	Not Available	$4.65/hr★ Best 8x GPU	—	Google Cloud
H200 141GB VRAM • Not Available Google Cloud $4.65/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
L4 24GB VRAM • Google Cloud	Not Available	$0.32/hr★ Best	—	Google Cloud
L4 24GB VRAM • Not Available Google Cloud $0.32/hour Updated: 10/12/2026 ★Best Price Google Cloud
RTX PRO 6000 96GB VRAM • EcoHashGoogle Cloud	$1.89/hr	$1.71/hr★ Best	↑+$0.18(+10.2%)	EcoHash Google Cloud
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/12/2026 Google Cloud $1.71/hour Updated: 10/12/2026 ★Best Price Price Difference:↑+$0.18(+10.2%) EcoHash Google Cloud
Tesla T4 16GB VRAM • Google Cloud	Not Available	$0.16/hr★ Best	—	Google Cloud
Tesla T4 16GB VRAM • Not Available Google Cloud $0.16/hour Updated: 10/12/2026 ★Best Price Google Cloud
Tesla V100 32GB VRAM • Google Cloud	Not Available	$1.12/hr★ Best	—	Google Cloud
Tesla V100 32GB VRAM • Not Available Google Cloud $1.12/hour Updated: 10/12/2026 ★Best Price Google Cloud

A100 SXM 80GB VRAM • Google Cloud	Not Available	$3.04/hr★ Best	—	Google Cloud
A100 SXM 80GB VRAM • Not Available Google Cloud $3.04/hour Updated: 10/12/2026 ★Best Price Google Cloud
A100 SXM 40GB 40GB VRAM • Google Cloud	Not Available	$1.22/hr★ Best 16x GPU	—	Google Cloud
A100 SXM 40GB 40GB VRAM • Not Available Google Cloud $1.22/hour 16x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
B200 180GB VRAM • Google Cloud	Not Available	$4.95/hr★ Best 8x GPU	—	Google Cloud
B200 180GB VRAM • Not Available Google Cloud $4.95/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
H100 SXM 80GB VRAM • Google Cloud	Not Available	$4.86/hr★ Best 8x GPU	—	Google Cloud
H100 SXM 80GB VRAM • Not Available Google Cloud $4.86/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
H200 141GB VRAM • Google Cloud	Not Available	$4.65/hr★ Best 8x GPU	—	Google Cloud
H200 141GB VRAM • Not Available Google Cloud $4.65/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Google Cloud
L4 24GB VRAM • Google Cloud	Not Available	$0.32/hr★ Best	—	Google Cloud
L4 24GB VRAM • Not Available Google Cloud $0.32/hour Updated: 10/12/2026 ★Best Price Google Cloud
RTX PRO 6000 96GB VRAM • EcoHashGoogle Cloud	$1.89/hr	$1.71/hr★ Best	↑+$0.18(+10.2%)	EcoHash Google Cloud
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/12/2026 Google Cloud $1.71/hour Updated: 10/12/2026 ★Best Price Price Difference:↑+$0.18(+10.2%) EcoHash Google Cloud
Tesla T4 16GB VRAM • Google Cloud	Not Available	$0.16/hr★ Best	—	Google Cloud
Tesla T4 16GB VRAM • Not Available Google Cloud $0.16/hour Updated: 10/12/2026 ★Best Price Google Cloud
Tesla V100 32GB VRAM • Google Cloud	Not Available	$1.12/hr★ Best	—	Google Cloud
Tesla V100 32GB VRAM • Not Available Google Cloud $1.12/hour Updated: 10/12/2026 ★Best Price Google Cloud

LLM API Pricing Comparison

Total models: 27Both available: 0EcoHash: 15Google Cloud: 12

Showing 15 of 27 models

Prices per 1M tokens · Last updated: 10/12/2026, 6:44:54 PM

Model ↑	EcoHash	Google Cloud	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	—
Gemini 2.0 Flash Google	Not available	$0.150 in $0.600 out	—
Gemini 2.0 Flash-Lite Google	Not available	$0.075 in $0.300 out	—
Gemini 2.5 Flash Google	Not available	$0.300 in $2.50 out	—
Gemini 2.5 Flash Lite Google	Not available	$0.100 in $0.400 out	—
Gemini 2.5 Pro Google	Not available	$1.25 in $10.00 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	$0.750 in $3.75 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	—
GLM-5.2 Zhipu	$1.00 in $3.00 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.

Google Cloud

Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
Cloud Functions
Event-driven serverless compute platform.
Cloud Run
Fully managed serverless platform for containerized applications.
Vertex AI
Unified ML platform for building, deploying, and managing ML models.
Spot VMs
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.

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

Google Cloud

Advantages

Flexible pricing options, including sustained use discounts
Strong AI and machine learning tools (Vertex AI)
Good integration with other Google services
Mature managed Kubernetes offering (GKE)

Considerations

Limited availability in some regions compared to AWS
Complexity in managing resources
Support can be costly

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.

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

Automated Kubernetes operations
Integration with Google Cloud services

Cloud Functions

Serverless compute platform for running code in response to events.

Automatic scaling and high availability
Pay only for the compute time consumed

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

Google Cloud

On-Demand

Pay for vCPUs, GPUs, and memory with a one-minute minimum and per-second billing thereafter, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Resource-based Committed Use Discounts

Discounted rates in exchange for a 1-year or 3-year commitment to a minimum level of resource usage in a region, and combinable with reservations.

Compute Flexible Committed Use Discounts

Spend-based commitments that apply across eligible machine families and regions rather than to specific resources.

Spot VMs

Spare capacity at discounted Spot prices for fault-tolerant workloads that can be preempted.

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.

Google Cloud

Get Started

1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
2
Enable billing
Set up a billing account to pay for resource usage.
3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.

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.

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.