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Compare GPU pricing between Akamai Cloud and Bentaus. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Akamai Cloud Price | Bentaus Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
HGX B300 288GB VRAM • Bentaus | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
Quadro RTX 6000 24GB VRAM • Akamai Cloud | Not Available | — | ||
Quadro RTX 6000 24GB 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 • | ||||
HGX B300 288GB VRAM • Bentaus | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
Quadro RTX 6000 24GB VRAM • Akamai Cloud | Not Available | — | ||
Quadro RTX 6000 24GB 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
Eight-GPU NVIDIA HGX B300 (Blackwell Ultra) nodes with 288 GB HBM3e per GPU, NVLink within the node and 400G InfiniBand between nodes
Capacity is deployed on power infrastructure Bentaus develops and operates itself, including generation, battery backup and liquid-cooled facilities
Proprietary software that coordinates compute, power and energy assets in real time, letting GPU load respond to grid signals while keeping workload SLAs
Every order goes through an ordering form and a solutions architect; there is no instant single-GPU deployment
Fully isolated clusters designed to the customer's specification, with monitoring, support and SLAs, under a custom contract
HGX B300 nodes sold by the GPU-hour in eight-GPU node increments
Dedicated, fully isolated GPU clusters designed to the customer's specification
Flat monthly pricing for GPU-equipped virtual machines
Hourly billing fallback when instances run for less than a month
Per-GPU-hour pricing published as a range, sold in eight-GPU node increments and provisioned through sales; the low end is a starting rate
Lower per-GPU-hour range with guaranteed capacity, priority access and a rate locked for a custom term length agreed with sales
Custom contract pricing for a dedicated, isolated cluster; no published rate
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
Use the ordering form on the B300 page to state how many eight-GPU nodes you need, your workload type, timeline and whether you want on-demand, reserved or a custom environment
A Bentaus solutions architect follows up to confirm configuration, term and pricing within the published range
On-demand and reserved nodes are provisioned on Bentaus-operated infrastructure; AI factory clusters are designed and built to the agreed specification
Global region coverage across North America, Europe, Asia and Australia
Documentation, community resources and 24/7 paid support tiers
Not disclosed; Bentaus operates on US grid infrastructure and its demand-response deployments have been in ERCOT (Texas)
Solutions architect assigned per order; AI factory clusters include monitoring, support and SLAs. Enquiries via the contact page.