What is the difference between EcoHash and Latitude.sh?

EcoHash and Latitude.sh 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 Latitude.sh?

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 Latitude.sh?

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 3 different GPU models across both EcoHash and Latitude.sh, with 0 models available from both providers.

EcoHash vs Latitude.sh

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

EcoHash

Provider 1

GPUs Available

Visit Website

Latitude.sh

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

Latitude.sh GPUs

Direct Comparisons

Average Price Difference: $1.11/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 3Both available: 1EcoHash: 1Latitude.sh: 3

Showing 3 of 3 GPUs

Last updated: 10/6/2026, 3:09:13 AM

GPU Model ↑	EcoHash Price	Latitude.sh Price	Price Diff ↕	Sources
H100 SXM 80GB VRAM • Latitude.sh	Not Available	$1.68/hr★ Best	—	Latitude.sh
H100 SXM 80GB VRAM • Not Available Latitude.sh $1.68/hour Updated: 10/4/2026 ★Best Price Latitude.sh
HGX B300 288GB VRAM • Latitude.sh	Not Available	$8.00/hr★ Best 8x GPU	—	Latitude.sh
HGX B300 288GB VRAM • Not Available Latitude.sh $8.00/hour 8x GPU configuration Updated: 10/4/2026 ★Best Price Latitude.sh
RTX PRO 6000 96GB VRAM • EcoHashLatitude.sh	$1.89/hr★ Best	$3.00/hr 8x GPU	↓$1.11(37.0%)	EcoHash Latitude.sh
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/5/2026 ★Best Price Latitude.sh $3.00/hour 8x GPU configuration Updated: 10/4/2026 Price Difference:↓$1.11(37.0%) EcoHash Latitude.sh

H100 SXM 80GB VRAM • Latitude.sh	Not Available	$1.68/hr★ Best	—	Latitude.sh
H100 SXM 80GB VRAM • Not Available Latitude.sh $1.68/hour Updated: 10/4/2026 ★Best Price Latitude.sh
HGX B300 288GB VRAM • Latitude.sh	Not Available	$8.00/hr★ Best 8x GPU	—	Latitude.sh
HGX B300 288GB VRAM • Not Available Latitude.sh $8.00/hour 8x GPU configuration Updated: 10/4/2026 ★Best Price Latitude.sh
RTX PRO 6000 96GB VRAM • EcoHashLatitude.sh	$1.89/hr★ Best	$3.00/hr 8x GPU	↓$1.11(37.0%)	EcoHash Latitude.sh
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/5/2026 ★Best Price Latitude.sh $3.00/hour 8x GPU configuration Updated: 10/4/2026 Price Difference:↓$1.11(37.0%) EcoHash Latitude.sh

LLM API Pricing Comparison

Total models: 13Both available: 0EcoHash: 13Latitude.sh: 0

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 3:09:13 AM

Model ↑	EcoHash	Latitude.sh	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.

Latitude.sh

Automated bare metal
Provision servers with user data, RAID, and SSH over a documented REST API.
GPU Accelerate fleet
RTX 6000 Ada, H100, and L40S capacity with dual 100 Gbps networking on multi-GPU nodes.
Global footprint
25 locations spanning the US, Europe, Latin America, and Asia-Pacific.
Transparent pricing
Hourly and monthly rates published for GPU and CPU bare metal.
Complete infrastructure stack
Beyond compute: managed databases, storage, networking, and Kubernetes services.

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

Latitude.sh

Advantages

25-region coverage with instant deploy options in the US, EU, LATAM, and APAC
GPU nodes ship with dual 100 Gbps fabric, large RAM, and NVMe for AI training
API-first platform with detailed REST documentation for automation
Published hourly pricing for both metal and GPU catalogs

Considerations

GPU catalog is narrower than hyperscalers
Some regions show limited or unavailable GPU stock depending on plan

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.

Latitude.sh

Accelerate GPU Bare Metal

Dedicated GPU servers tuned for AI training and inference.

GPU Virtual Machines

Virtualized GPU plans for quick starts and cost-effective deployment.

Metal Bare Metal

General-purpose dedicated servers with high core counts and NVMe.

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

Latitude.sh

GPU Bare Metal Hourly

Hourly billing for dedicated GPU servers including RTX 6000 Ada configurations with transparent published pricing.

GPU Virtual Machines

Cost-effective virtualized GPU options with H100 and L40S available in select regions.

CPU Bare Metal Plans

Hourly and monthly billing options for CPU-focused bare metal servers with regional pricing variations.

Transparent Regional Pricing

Published hourly rates for all GPU and CPU plans with pricing that varies by region (US, Brazil, Europe, APAC).

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.

Latitude.sh

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.

Latitude.sh

Global Regions

25 locations across Dallas, Los Angeles, New York, Chicago, Ashburn, Miami, London (2), Frankfurt (2), Amsterdam, Sao Paulo (2), Mexico City, Buenos Aires, Bogota, Santiago, Singapore, Tokyo (2), and Sydney (2).

Support

API reference, contact sales, and a trust center; platform tooling exposes SSH, RAID, and user-data options on provision.