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Akamai Cloud

Global cloud with predictable RTX-class GPU Linodes

Classical hyperscaler🇺🇸 US

Last reviewed May 8, 2026

Akamai Cloud (formerly Linode) is a global cloud platform offering GPU Linodes built around NVIDIA RTX PRO 6000 Blackwell, Quadro RTX 6000 and RTX 4000 Ada cards for inference and graphics workloads.

GPU Models
3
From / hour
$0.52

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: August 8, 2026

GPU Model
Price / hr
Quadro RTX 6000
$1.50/hrAsia-Pacific
1×2×3×4×
RTX 4000 Ada
$0.520/hrAsia-Pacific
1×2×4×
RTX PRO 6000
$3.00/hrAsia-Pacific
1×2×4×8×

Akamai Cloud pricing by GPU

Configurations, price rank, and alternatives for one GPU at a time.

Pros & Cons

Advantages

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

Limitations

  • Catalog focused on RTX cards; H100/H200/B200 are not part of the public lineup
  • Limited multi-GPU and large-cluster offerings versus dedicated neoclouds
  • Less optimized for frontier-scale training

Key Features

RTX-Class GPU Plans

Workstation and Blackwell-generation RTX cards exposed as predictable GPU Linodes

Global Akamai Backbone

GPU instances available across the broader Akamai compute and CDN footprint

Predictable Monthly Pricing

Flat monthly pricing on GPU Linodes with hourly fallback

Pricing Options

OptionDetails
Monthly GPU LinodesFlat monthly pricing for GPU-equipped virtual machines
Hourly BillingHourly billing fallback when instances run for less than a month

Availability & Support

Regions

Global region coverage across North America, Europe, Asia and Australia

Support

Documentation, community resources and 24/7 paid support tiers

Getting Started

  1. 1

    Create an account

    Sign up at the Akamai Cloud / Linode console

  2. 2

    Choose a GPU Linode plan

    Select RTX 4000 Ada, Quadro RTX 6000 or RTX PRO 6000 Blackwell with the desired GPU count

  3. 3

    Deploy and connect

    Provision the instance via console, CLI or API and connect over SSH

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