What is the difference between Akamai Cloud and EcoHash?

Akamai Cloud 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: Akamai Cloud 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 Akamai Cloud 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 1 different GPU models across both Akamai Cloud and EcoHash, with 0 models available from both providers.

Akamai Cloud vs EcoHash

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

Akamai Cloud

Provider 1

GPUs Available

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EcoHash

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Akamai Cloud GPUs

EcoHash GPUs

Direct Comparisons

Average Price Difference: $1.11/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 1Both available: 1Akamai Cloud: 1EcoHash: 1

Showing 1 of 1 GPUs

Last updated: 11/6/2026, 10:48:25 PM

GPU Model ↑	Akamai Cloud Price	EcoHash Price	Price Diff ↕	Sources
RTX PRO 6000 96GB VRAM • Akamai CloudEcoHash	$3.00/hr	$1.89/hr★ Best	↑+$1.11(+58.7%)	Akamai Cloud EcoHash
RTX PRO 6000 96GB VRAM • Akamai Cloud $3.00/hour Updated: 11/6/2026 EcoHash $1.89/hour Updated: 11/6/2026 ★Best Price Price Difference:↑+$1.11(+58.7%) Akamai Cloud EcoHash

RTX PRO 6000 96GB VRAM • Akamai CloudEcoHash	$3.00/hr	$1.89/hr★ Best	↑+$1.11(+58.7%)	Akamai Cloud EcoHash
RTX PRO 6000 96GB VRAM • Akamai Cloud $3.00/hour Updated: 11/6/2026 EcoHash $1.89/hour Updated: 11/6/2026 ★Best Price Price Difference:↑+$1.11(+58.7%) Akamai Cloud EcoHash

LLM API Pricing Comparison

Total models: 11Both available: 0Akamai Cloud: 0EcoHash: 11

Showing 11 of 11 models

Prices per 1M tokens · Last updated: 11/6/2026, 10:48:25 PM

Model ↑	Akamai Cloud	EcoHash	Input Diff ↕
DeepSeek V4 Pro DeepSeek	Not available	$0.910 in $2.72 out	—
GLM-5.2 Z.ai	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 AI	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 3.8 Flash Alibaba	Not available	$0.090 in $0.370 out	—
Qwen 3.8 Max Alibaba	Not available	$1.90 in $5.70 out	—
Qwen3.8 27B Alibaba	Not available	$0.300 in $0.600 out	—
Whisper V3 Turbo OpenAI	Not available	$0.100 in $0.0000 out	—

Features Comparison

Akamai Cloud

RTX-Class GPU Plans
Blackwell Server Edition, Ada and Quadro RTX cards offered as GPU Linodes with dedicated vCPU cores
Multi-GPU Plans
Plans carry 1 to 8 RTX PRO 6000 Blackwell cards, with vNUMA exposed on the 8-card plans, and 1 to 4 cards on RTX 4000 Ada and Quadro RTX 6000 plans
Multiple Regions
RTX PRO 6000 Blackwell plans are listed in 20 Akamai Cloud regions across Europe, Asia and North America; RTX 4000 Ada and Quadro RTX 6000 plans are listed in fewer

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

Akamai Cloud

Advantages

Predictable flat-rate pricing model
Global region coverage inherited from the Akamai network
Blackwell-generation RTX PRO 6000 available alongside older RTX SKUs

Considerations

Catalog focused on RTX cards; H100/H200/B200 are not part of the public lineup
RTX PRO 6000 Blackwell and Quadro RTX 6000 plans are listed as limited deployment availability
A deposit may be required to deploy GPU Linodes on new or low-spend accounts

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

Akamai Cloud

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

Akamai Cloud

Hourly Billing

GPU Linode plans are listed with hourly rates; review the pricing page for the full plan list

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

Akamai Cloud

Get Started

1
Create an account
Sign up at the Akamai Cloud / Linode console
2
Choose a GPU Linode plan
Select RTX 4000 Ada, Quadro RTX 6000 or RTX PRO 6000 Blackwell with the desired GPU count
3
Deploy and connect
Provision the instance via Cloud Manager, CLI or API and connect over SSH

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

Akamai Cloud

Global Regions

GPU plans are listed in selected Akamai Cloud regions in North America, Europe and Asia, varying by GPU; RTX PRO 6000 Blackwell has the widest list

Support

Documentation, a community forum, and Akamai compute support

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.