CET Alpha Request Access

Operator-led closed alpha

Verified compute capacity for burst AI inference.

CET Alpha helps AI teams run controlled overflow inference windows with quote discipline, runtime visibility, risk controls, and settlement evidence after the session.

Request Closed Alpha Access Check Pilot Fit
Use case
Burst inference
Mode
Guided pilot
Review
Evidence bundle
Runtime Exchange Control
Active Session llama-70b burst healthy · monitored
Settlement Basis Tick-linked USD · locked quote
Supplier signal Verified capacity online
Normal
Telemetry Risk Events Settlement Audit Trail
Why now

AI products are hitting demand spikes that ordinary capacity planning does not handle cleanly.

Launch weeks, enterprise demos, agent workflows, and API traffic surges create short windows where teams need extra inference capacity without losing operational control or post-run accountability.

Overflow is real

Inference teams need burst capacity when production traffic outruns reserved capacity or primary providers.

Trust is thin

Raw GPU listings rarely answer what actually happened during a session, who monitored it, or how settlement was derived.

Review matters

Finance, operations, and technical teams need a shared record for runtime performance, exceptions, and commercial review.

CET Alpha position

A verified compute exchange control-plane, not an open GPU listing board.

The closed alpha is intentionally operator-led. CET handles buyer intake, quote comparison, supplier readiness, session monitoring, settlement review, and evidence handoff inside a controlled pilot.

Operating model

From request to evidence, the workflow stays structured.

Every pilot is scoped before runtime and reviewed after completion, so buyers can understand capacity, price, performance, and settlement without side-channel guesswork.

01

Buyer intake

Confirm workload, region, latency expectations, budget ceiling, and pilot window.

02

Quote comparison

Evaluate supplier fit across workload, operational confidence, SLA, price, and region.

03

Controlled session

Activate a monitored inference session with state tracking, telemetry, and risk posture.

04

Settlement review

Generate buyer-facing summary and deeper evidence records for reconciliation.

Evidence-first operations

Runtime visibility and settlement evidence are built into the pilot.

During the session

  • Session status and runtime state
  • Telemetry growth and tick activity
  • Risk posture and operator actions
  • Pause and terminate controls when needed

After completion

  • Buyer review summary
  • Settlement basis and reconciliation
  • Linked telemetry and proof records
  • Evidence bundle for deeper trust review
Closed alpha fit

Built for teams with a real inference burst to run.

CET Alpha is currently best for AI SaaS, agent platform, inference API, and applied AI teams that can commit to a narrow controlled pilot window and want clearer post-run review.

Strong pilot signals

  • Clear burst or overflow inference workload
  • Named business and technical contacts
  • Latency or cost pressure is already visible
  • Runtime visibility and settlement evidence matter
Not a public marketplace Not training capacity Not self-serve onboarding yet No token settlement

U.S. closed alpha

Need controlled burst inference capacity with evidence after the run?

Share the workload, target region, latency expectations, and timing window. CET will confirm whether a guided pilot makes sense.

Request Pilot Review