What is the difference between Cudo Compute and EcoHash?

Cudo Compute and EcoHash 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: Cudo Compute or EcoHash?

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 Cudo Compute and EcoHash?

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 4 different GPU models across both Cudo Compute and EcoHash, with 0 models available from both providers.

Cudo Compute vs EcoHash

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

Cudo Compute

Provider 1

GPUs Available

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EcoHash

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Cudo Compute GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 4Both available: 0Cudo Compute: 3EcoHash: 1

Showing 4 of 4 GPUs

Last updated: 10/6/2026, 6:36:00 AM

GPU Model ↑	Cudo Compute Price	EcoHash Price	Price Diff ↕	Sources
A100 PCIE 40GB VRAM • Cudo Compute	$1.50/hr★ Best	Not Available	—	Cudo Compute API
A100 PCIE 40GB VRAM • Cudo Compute $1.50/hour Updated: 10/6/2026 ★Best Price Not Available Cudo Compute API
H100 SXM 80GB VRAM • Cudo Compute	$1.79/hr★ Best	Not Available	—	Cudo Compute API
H100 SXM 80GB VRAM • Cudo Compute $1.79/hour Updated: 10/6/2026 ★Best Price Not Available Cudo Compute API
L40S 48GB VRAM • Cudo Compute	$0.87/hr★ Best	Not Available	—	Cudo Compute API
L40S 48GB VRAM • Cudo Compute $0.87/hour Updated: 10/6/2026 ★Best Price Not Available Cudo Compute API
RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/6/2026 ★Best Price EcoHash

A100 PCIE 40GB VRAM • Cudo Compute	$1.50/hr★ Best	Not Available	—	Cudo Compute API
A100 PCIE 40GB VRAM • Cudo Compute $1.50/hour Updated: 10/6/2026 ★Best Price Not Available Cudo Compute API
H100 SXM 80GB VRAM • Cudo Compute	$1.79/hr★ Best	Not Available	—	Cudo Compute API
H100 SXM 80GB VRAM • Cudo Compute $1.79/hour Updated: 10/6/2026 ★Best Price Not Available Cudo Compute API
L40S 48GB VRAM • Cudo Compute	$0.87/hr★ Best	Not Available	—	Cudo Compute API
L40S 48GB VRAM • Cudo Compute $0.87/hour Updated: 10/6/2026 ★Best Price Not Available Cudo Compute API
RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/6/2026 ★Best Price EcoHash

LLM API Pricing Comparison

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

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 6:36:00 AM

Model ↑	Cudo Compute	EcoHash	Input Diff ↕
DeepSeek V4 Pro DeepSeek	Not available	$0.910 in $2.72 out	—
GLM-5.2 Zhipu	Not available	$1.00 in $3.00 out	—
GLM-5.3 Z AI	Not available	$1.25 in $4.30 out	—
GPT-OSS-20B OpenAI	Not available	$0.050 in $0.200 out	—
Kimi K3 Moonshot	Not available	$2.00 in $12.00 out	—
Llama 3.1 8B Meta	Not available	$0.100 in $0.100 out	—
MiniMax-M3 MiniMax	Not available	$0.200 in $0.900 out	—
Qwen 3 Coder 30B Alibaba	Not available	$0.100 in $0.300 out	—
Qwen 3.8 Flash Alibaba	Not available	$0.090 in $0.370 out	—
Qwen 3.8 Max Alibaba	Not available	$1.90 in $5.70 out	—
Qwen3 Omni 30B A3B Alibaba	Not available	$0.400 in $0.800 out	—
Qwen3 VL 8B Alibaba	Not available	$0.150 in $0.500 out	—
Qwen3.6 35B A3B Alibaba	Not available	$0.400 in $0.400 out	—

Features Comparison

Cudo Compute

Enterprise GPU infrastructure
Dedicated access to NVIDIA GPUs including GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 in SXM and PCIe form factors
AI clusters
Multi-node GPU clusters for training and inference, commissioned to acceptance criteria before entering production
Regional deployment
Infrastructure across the UK, EU, North America, APAC, and the Middle East with in-region options for latency, residency, and regulatory needs
Managed operations
Foundational SRE included as standard with 24/7 monitoring, incident response, firmware management, and NVIDIA escalation paths
API and automation
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Security and sovereignty
Controlled environments for enterprise and regulated workloads with jurisdictional control and sovereign data residency enforcement

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.

Pros & Cons

Cudo Compute

Advantages

Current NVIDIA lineup spanning GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 systems
Data center coverage across UK, EU, North America, APAC, and Middle East for latency and residency requirements
Full lifecycle delivery covering architecture, deployment, and 24/7 operations by NVIDIA-certified engineers
ISO 27001 and SOC 2 aligned environments with GDPR-aligned operations and sovereign data residency enforcement

Considerations

Catalog GPU systems are quote-on-request, so published rates are not available for comparison
Positioned for enterprise cluster deployments rather than small-scale or experimental use
Smaller managed service ecosystem than hyperscalers

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

Compute Services

Cudo Compute

GPU Cloud

On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.

Hourly per-GPU billing for NVIDIA H100 and H200 instances
Elastic storage and IPv4 reservation per instance

AI Clusters

Dedicated multi-node GPU clusters for high-performance training and inference.

Supports H200, H100, HGX B200, GB200 NVL72, B300, and GB300 cluster builds
Automated deployment using golden images, health checks, and benchmarking frameworks

Network and Storage

InfiniBand and Ethernet fabrics with high-performance storage for cluster workloads.

InfiniBand fabric design for multi-node training
High-performance storage built on VAST, Weka, or DDN

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.

Pricing Options

Cudo Compute

On-demand GPU VMs

Hourly per-GPU billing for virtual machine instances with no commitment

Quote-based cluster pricing

GPU systems in the published catalog are priced on request, with enquiries handled by the sales team

OPEX consumption models

Consumption-based commercial structures for predictable spend on long-term deployments

Long-term commercial agreements

Multi-year structures with defined upgrade paths across GPU generations and into multi-site environments

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

Getting Started

Cudo Compute

Get Started

1
Contact the team
Submit an enquiry from the pricing or contact page describing your workload, capacity, and region requirements.
2
Choose a region
Select a jurisdiction in the UK, EU, North America, APAC, or the Middle East to meet latency, residency, and compliance needs.
3
Design
Cudo produces an NVIDIA reference-aligned architecture covering InfiniBand fabric, storage, power, cooling, and rack layout.
4
Deploy
Systems are sourced through OEM channels including Dell, Lenovo, Supermicro, and HPE, then installed at power-ready sites against confirmed timelines.
5
Run
Clusters are commissioned to acceptance criteria and operated with 24/7 monitoring, incident response, and firmware management.

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.

Support & Global Availability

Cudo Compute

Global Regions

Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options

Support

Enterprise SLAs with 24/7 infrastructure monitoring, L3 incident response, and lifecycle operations delivered by NVIDIA-certified engineers; sales and technical enquiries via the contact page.

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.