Keep approved audio in a controlled route

Transcription judged by the words it gets wrong.

Local speech recognition can support meetings, calls, interviews and media. The result depends on language, accents, noise, channels and domain vocabulary.

Compare the hardware Tell us what you need

Three-quarter supplier render of a 4U OEM multi-GPU rack server — OEM platform reference render. It is not evidence of a completed customer build or final specification.

Workload before hardware

Describe the queue, the quality bar and the operating owner.

01 / Work unit: Size from model, context, concurrent users and peak demand.
02 / Acceptance: Agree quality, latency, citation or output checks before buying.
03 / Operations: Plan updates, monitoring, support and a fallback route.

Diagram showing an approved request, a local service, an approved store and a policy-controlled data path — A private deployment starts with the permitted data path, access policy and logging boundary. GPU Servers technical illustration.

Build a representative audio set

Include real languages, accents, microphones, noise and overlapping speakers.

Record consent, retention and who may access audio and transcripts.

Work unit: Tokens, frames, files or jobs.
Duration: How long one active job occupies capacity.
Concurrency: How many jobs overlap.
Deadline: Interactive response or queued completion.

A measured queue or user pattern is more useful than an unsupported user-count claim. Apply to: Build a representative audio set

Diagram of an evidence pack containing an asset schedule, burn-in record, health readings, workload test and admin guide — A credible handover records the supplied assets, checks, operating evidence, instructions and unresolved items. GPU Servers technical illustration.

GPU server remote management dashboard with system status, access logs and sensor monitoring panels — Supplier screenshot of the platform management interface. The final management features and access policy depend on the ordered system. OEM supplier reference image.

Measure error and speed

Report word error rate or a task-specific correction measure plus real-time factor and failures.

A fast transcript that changes names, figures or negation may be unusable.

Output quality Correctness, support or usable result.

Service quality Latency, throughput and availability.

Control quality Permissions, logs and refusal.

Pass Named reviewer accepts the combined result.

A fast result is not acceptable when it is wrong, unsupported or shown to the wrong user. Apply to: Measure error and speed

Separate optional stages

Diarisation, punctuation, translation, summarisation and redaction are distinct components.

Each adds models, data handling and its own acceptance gate.

Observe Demand, errors and resource state.
Review Quality drift, access and incidents.
Change Versioned model or runtime update.
Retest Focused acceptance before wider use.

The operating owner needs a repeatable route for change, rollback and evidence. Apply to: Separate optional stages

Choose batch or live service

Live captions prioritise stable low latency; overnight archives prioritise completed audio per hour.

Hosted transcription can suit bursty work where policy and provider terms are acceptable.

Questions answered

Straight answers to common questions

Can it identify speakers?

Speaker diarisation can be evaluated, but it is a separate capability and not guaranteed by transcription alone.

Can it transcribe in real time?

A tested model and service can be assessed for live use against latency and error gates.

Will audio leave our network?

Not through a correctly configured local-only route; connectors, telemetry and fallbacks must also follow policy.

Continue the decision

Useful next steps

Next decision

Turn this guidance into a testable requirement.

The brief asks about workload and operating conditions - not just budget.

Tell us what you need Compare server systems