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Abhigya AI

Reserved capacity.Promised latency.

Reserve tokens per minute on the model you choose, with a 99.9% uptime SLA. Your traffic never queues behind anyone else's - and anything above your reservation spills onto serverless automatically.

Monthly and annual commitments
Reserved capacity99.9% SLA
DeepSeek V4.1 Flash1M context · reserved
Reserved
Qwen 3.8 27B256K context · reserved
Reserved
Overflowspills to serverless
On demand
Uptime SLA
99.9%
Shortest commitment
1 month
Overflow
Serverless rates
What you get

Committed throughput, hard SLAs.

Same API as serverless

Reserved tokens per minute

Your traffic draws on a fixed token budget on the model you chose, so throughput stays flat when another tenant ramps up their batch queue.

Burst without dropping

Anything above your reservation spills onto serverless at pay-per-token rates, so a launch never turns into an incident.

Commit, don't lock in

Start monthly, move to annual as volume grows. Discounts scale with the term and the size of the reservation.

Deciding

Two ways to buy the same tokens.

Stay on serverless if

Traffic is still a guess

  • Load is spiky, seasonal or not yet predictable
  • You are still evaluating which models to standardise on
  • You want no forecast and no commitment of any kind
  • Monthly volume sits under the break-even point
Move to provisioned if

Latency is in your contract

  • P95 latency appears in an SLA you have signed
  • Volume is steady and forecastable quarter to quarter
  • You need capacity other tenants can't touch
  • You want a lower effective rate than on-demand