What is the difference between EcoHash and Thunder Compute?

EcoHash and Thunder Compute 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 Thunder Compute?

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 Thunder Compute?

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 Thunder Compute, with 0 models available from both providers.

EcoHash vs Thunder Compute

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

EcoHash

Provider 1

GPUs Available

Visit Website

Thunder Compute

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

Thunder Compute GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 5Both available: 0EcoHash: 1Thunder Compute: 4

Showing 5 of 5 GPUs

Last updated: 10/6/2026, 3:18:48 AM

GPU Model ↑	EcoHash Price	Thunder Compute Price	Price Diff ↕	Sources
A100 SXM 80GB VRAM • Thunder Compute	Not Available	$1.09/hr★ Best	—	Thunder Compute
A100 SXM 80GB VRAM • Not Available Thunder Compute $1.09/hour Updated: 10/5/2026 ★Best Price Thunder Compute
H100 SXM 80GB VRAM • Thunder Compute	Not Available	$3.20/hr★ Best	—	Thunder Compute
H100 SXM 80GB VRAM • Not Available Thunder Compute $3.20/hour Updated: 10/5/2026 ★Best Price Thunder Compute
L40 40GB VRAM • Thunder Compute	Not Available	$0.79/hr★ Best	—	Thunder Compute
L40 40GB VRAM • Not Available Thunder Compute $0.79/hour Updated: 10/5/2026 ★Best Price Thunder Compute
RTX A6000 48GB VRAM • Thunder Compute	Not Available	$0.35/hr★ Best	—	Thunder Compute
RTX A6000 48GB VRAM • Not Available Thunder Compute $0.35/hour Updated: 10/5/2026 ★Best Price Thunder Compute
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/5/2026 ★Best Price Not Available EcoHash

A100 SXM 80GB VRAM • Thunder Compute	Not Available	$1.09/hr★ Best	—	Thunder Compute
A100 SXM 80GB VRAM • Not Available Thunder Compute $1.09/hour Updated: 10/5/2026 ★Best Price Thunder Compute
H100 SXM 80GB VRAM • Thunder Compute	Not Available	$3.20/hr★ Best	—	Thunder Compute
H100 SXM 80GB VRAM • Not Available Thunder Compute $3.20/hour Updated: 10/5/2026 ★Best Price Thunder Compute
L40 40GB VRAM • Thunder Compute	Not Available	$0.79/hr★ Best	—	Thunder Compute
L40 40GB VRAM • Not Available Thunder Compute $0.79/hour Updated: 10/5/2026 ★Best Price Thunder Compute
RTX A6000 48GB VRAM • Thunder Compute	Not Available	$0.35/hr★ Best	—	Thunder Compute
RTX A6000 48GB VRAM • Not Available Thunder Compute $0.35/hour Updated: 10/5/2026 ★Best Price Thunder Compute
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/5/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 13Both available: 0EcoHash: 13Thunder Compute: 0

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 3:18:48 AM

Model ↑	EcoHash	Thunder Compute	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.

Thunder Compute

Rapid deployment
Spin up a dedicated cloud GPU in seconds.
Flexible configurations
Customize vCPUs, RAM, and storage.
Networking
Supports 7-10 Gbps networking speeds.
Development tools
Integrated VS Code extension for easier development.
Snapshot capabilities
Ability to take snapshots for later use.

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

Thunder Compute

Advantages

User-friendly interface
Quick scaling options
Integrated development environment

Considerations

Limited availability in regions
Potential performance variability depending on load

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.

Thunder Compute

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

Thunder Compute

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.

Thunder Compute

Get Started

1
Create an account
Sign up for an account on the Thunder Compute platform.
2
Choose a template
Select a pre-built template for your AI workflow.
3
Customize your setup
Adjust the vCPUs, RAM, and storage as necessary.
4
Launch your instance
Start your GPU instance with a single click.
5
Connect to your environment
Use the VS Code extension to access your persistent environment.

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.

Thunder Compute

Global Regions

Available in the US and possibly other regions.

Support

24/7 support via email and chat.