What is the difference between EcoHash and Zettabyte?

EcoHash and Zettabyte 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 Zettabyte?

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 Zettabyte?

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 2 different GPU models across both EcoHash and Zettabyte, with 0 models available from both providers.

EcoHash vs Zettabyte

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

EcoHash

Provider 1

GPUs Available

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Zettabyte

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

Zettabyte GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 2Both available: 0EcoHash: 1Zettabyte: 1

Showing 2 of 2 GPUs

Last updated: 10/6/2026, 7:20:57 PM

GPU Model ↑	EcoHash Price	Zettabyte Price	Price Diff ↕	Sources
H100 SXM 80GB VRAM • Zettabyte	Not Available	$2.51/hr★ Best	—	Zettabyte
H100 SXM 80GB VRAM • Not Available Zettabyte $2.51/hour Updated: 10/6/2026 ★Best Price Zettabyte
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

H100 SXM 80GB VRAM • Zettabyte	Not Available	$2.51/hr★ Best	—	Zettabyte
H100 SXM 80GB VRAM • Not Available Zettabyte $2.51/hour Updated: 10/6/2026 ★Best Price Zettabyte
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: 13Both available: 0EcoHash: 13Zettabyte: 0

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 7:20:57 PM

Model ↑	EcoHash	Zettabyte	Input Diff ↕
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 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.

Zettabyte

On-Demand Instances
Launch GPU instances quickly and scale to hundreds on-demand.
Reserved Clusters
Designed for large-scale training with predictable capacity.
Private Cloud Solutions
Custom clusters tailored for specific security and procurement needs.
Best-Price Allocation
Utilizes a bid/ask system to ensure optimal pricing on GPU resources.
Reliability Framework
Ensures 99.9% uptime SLA with transparent incident reporting.

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

Zettabyte

Advantages

Flexible scaling options for various workloads
Diverse service offerings to match different needs
Built-in security protocols for data protection

Considerations

Limited information on specific geographic availability
No explicit details on customer support options
Dependency on third-party hardware providers

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.

Zettabyte

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

Zettabyte

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.

Zettabyte

Get Started

1
Visit the Zettabyte website
Access the main platform to explore available services.
2
Choose a service type
Select between on-demand, reserved clusters, or private cloud.
3
Register for an account
Provide necessary information to create a user account.
4
Set up your billing and access preferences
Fill in details for account management and payment.
5
Launch your first instance
Follow prompts to deploy your chosen compute resource.

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.

Zettabyte