Dedicated Lanes

Reserve inference capacity, rather than whole GPUs. Match your reservation to your workload and the hours you need—with guaranteed latency, an SLA, and a price agreed upfront.

Get a tailored quote See how it works

The problem

Slow replies frustrate users.
Idle GPUs still cost money.

Shared inference

Latency can vary.

Response times on shared capacity may vary with demand.

Illustrative response times

Fixed GPU reservations

Capacity can sit idle.

A fixed reservation can leave capacity unused during quiet hours and fall short when traffic peaks.

Illustrative traffic and fixed capacity

Capacity that fits your day.

Reserve the concurrent calls or requests per second you need, for the hours you need them. Keep your latency guarantee without paying for a peak-sized GPU reservation all day.

Illustrative daily schedule

Continuous service, with reduced capacity outside peak hours.

Expected calls .wave Dedicated Lanes
Dedicated Lanes reserve capacity on an agreed schedule to support expected traffic Illustrative traffic and capacity reservations over twenty-four hours. Dedicated Lanes follows the agreed daily schedule. 150100500Concurrent calls00:0006:0012:0018:0024:00
Reserved capacity follows your agreed schedule.

Dedicated Lanes reserves less capacity during quiet hours, reducing the cost of your reservation.

Deployment regions

Plan where
your lane runs.

Deploy Dedicated Lanes close to your users to reduce network latency.

For every part of the conversation.

  • LLMs
  • Speech-to-text
  • Text-to-speech
  • Full-duplex voice

Let’s find your lane

Tell us what
you’re building.

Bring your model, traffic pattern, latency target and user regions.

Get a tailored quote