AI Silicon Assessment

A clear answer to the first question: does your workload need custom silicon at all — and if it does, what shape should it take?

WHO IT'S FOR

Is this the right starting point?

Your product runs out of power, thermal, or latency headroom on the processors available today.

You need evidence, not opinion, before committing to a custom silicon programme.

A new model or capability doesn't fit the hardware your product already ships with.

WHAT YOU GET

Workload fingerprint

Compute, memory, and I/O profile of your models, from real inference traces.

Off-the-shelf fit analysis

How well available chips run your workload, and where they waste power or cycles.

Recommendation

A reasoned go/no-go on custom silicon — including when the honest answer is no.

Requirements brief

If it's a go: throughput, latency, and power targets to start design from.

Next-step plan

An indicative path, scope, and the decisions still to make.

HOW IT WORKS

Typically [__] weeks from receiving your workload to readout.

STEP 1

Models, sample inference traces, and your product constraints.

STEP 2

Workload Intelligence fingerprints what the model needs from silicon.

STEP 3

Off-the-shelf options are measured against custom alternatives.

STEP 4

A working session to walk through findings and the recommendation.

PLATFORM STAGES USED

Workload Intelligence

Virtual Silicon

Virtual SoC

Tell us about your workload and your product constraints, and we'll scope an assessment.

— From AI to Silicon