What is the difference between EcoHash and Geodd?

EcoHash and Geodd 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 Geodd?

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 Geodd?

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 1 different GPU models across both EcoHash and Geodd, with 0 models available from both providers.

EcoHash vs Geodd

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

EcoHash

Provider 1

GPUs Available

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Geodd

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

EcoHash GPUs

Geodd GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 1Both available: 0EcoHash: 1Geodd: 0

Showing 1 of 1 GPUs

Last updated: 10/4/2026, 2:45:48 PM

GPU Model ↑	EcoHash Price	Geodd Price	Price Diff ↕	Sources
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/4/2026 ★Best Price Not Available EcoHash

RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/4/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 18Both available: 3EcoHash: 12Geodd: 9

Showing 15 of 18 models

Prices per 1M tokens · Last updated: 10/4/2026, 2:45:48 PM

Model ↑	EcoHash	Geodd	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.140 in $0.300 out	—
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	$1.48 in $3.40 out	$0.570
DeepSeek V4.1 Flash DeepSeek	Not available	$0.300 in $1.10 out	—
Gemma 4 31B Google	Not available	$0.130 in $0.370 out	—
GLM-5.2 Zhipu	$1.00 in $3.00 out	$0.900 in $2.80 out	$0.100
GLM-5.3 Z AI	$1.25 in $4.30 out	Not available	—
GLM-5.3-Flash Z AI	Not available	$0.110 in $0.400 out	—
GPT-OSS-120B OpenAI	Not available	$0.039 in $0.158 out	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	$0.030 in $0.140 out	$0.020
Kimi K2.6 Kimi	Not available	$0.600 in $3.20 out	—
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	—

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.

Geodd

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

Geodd

Advantages

Considerations

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.

Geodd

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

Geodd

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.

Geodd

Get Started

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.

Geodd