Now scheduling workload assessments

Know what your workload needs before you spend.

Our team of AI domain experts evaluates your target workload and recommends the right GPU configuration, the real cost at published rates, and a deployment plan.

Request an assessment

How the assessment works

A working session with our team, not a consulting engagement. No system access, nothing to install, nothing to migrate. You leave knowing what your workload needs and what it costs.

STEP 1

Tell us about the workload

Model size and type, throughput, latency targets, and where your users are. A conversation, not a questionnaire.

STEP 2

Our experts assess

We map your workload against NVIDIA's guidance and Akamai's published benchmarks to find the right GPU and card count.

STEP 3

You get a recommendation

Recommended configuration, transparent pricing at Akamai's public rates, and a provisioning plan.

STEP 4

You decide

Start with a single card on hourly billing and validate at your own pace. Scale when the numbers work for you.

What you walk away with

A recommended GPU shape and card count, matched to your workload, not the biggest thing we can sell you
Transparent pricing at Akamai's published rates, hourly and monthly, with nothing added on top
A provisioning plan covering setup, Kubernetes, and the AI software stack

The recommendation is yours to keep, whether or not you buy through us.

Workloads we assess

RAG & search

Retrieval-augmented generation requires low latency for real-time answers, and high query volume can explode costs without controls.

Code completion

Real-time completion needs to feel instantaneous. Typing flow cannot be interrupted by inference lag, and usage is high every working day.

Customer support AI

Wait times frustrate users already seeking help, and spikes in ticket volume shouldn't break the bank.

Content moderation

Scanning UGC for policy violations at scale, cleared before publishing. Volume correlates directly with user growth.

Live media & transcoding

8K pipelines, AI upscaling, and video analytics. The workloads our team has run on Akamai's network for over a decade.

Agentic AI

Multi-step reasoning chains where latency compounds across steps and looping agents consume tokens rapidly.

Who does what

Akamai provides the infrastructure: the distributed grid, NVIDIA RTX PRO™ 6000 Blackwell GPUs, 4,400+ edge locations, and a data posture meeting enterprise requirements.

MobileRider gets you running on it: the workload assessment, provisioning, Kubernetes (LKE) and AI stack setup, and 24/7/365 support, at the same price as buying direct.