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Compare GPU and LLM inference API pricing between Akamai Cloud and Cudo Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Akamai Cloud Price | Cudo Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Akamai Cloud | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Akamai Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Akamai Cloud | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Akamai Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Workstation and Blackwell-generation RTX cards exposed as predictable GPU Linodes
GPU instances available across the broader Akamai compute and CDN footprint
Flat monthly pricing on GPU Linodes with hourly fallback
On-demand and reserved GPU capacity with latest NVIDIA models including H200, H100, A100 80 GB, L40S, and legacy options like V100 and A40
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Design and manage GPU facilities powered by NVIDIA GB300 NVL72, B300 and GB200 systems for production-ready AI infrastructure
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
CPU and GPU-backed VMs for general workloads and AI inference.
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
Flat monthly pricing for GPU-equipped virtual machines
Hourly billing fallback when instances run for less than a month
Hourly per-GPU pricing with published rates by data center and GPU model
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Dedicated hardware and multi-node clusters priced per reservation with private networking options
Sign up at the Akamai Cloud / Linode console
Select RTX 4000 Ada, Quadro RTX 6000 or RTX PRO 6000 Blackwell with the desired GPU count
Provision the instance via console, CLI or API and connect over SSH
Sign up and log into the Cudo Compute console.
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
Global region coverage across North America, Europe, Asia and Australia
Documentation, community resources and 24/7 paid support tiers
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.