Institutional customers
Capability
Set team permissions and compute requirements
Responsibility
Account security, usage management, data handling, and service use
KAI Future Compute Center
Delivering AI Compute for a Stable Future.
KAI serves institutions by standardizing model-service specifications across providers, coordinating capacity for scheduled periods, continuously monitoring service quality, and delivering real Chat Completions services.
01 · The KAI approach
Stable compute starts with predictable delivery
KAI organizes distributed model-service capacity into a service institutions can plan, compare, and verify—moving compute from available supply to real workloads.
01
Predictable
Arrange capacity for a specified model, version, region, and service period.
02
Comparable
Describe capacity across providers through consistent service parameters and metering.
03
Verifiable
Record delivery through Chat Completions usage and service-quality data.
02 · Delivery method
From available capacity to real model services
KAI connects institutional requirements, provider capacity, and real inference requests through one clear delivery path.
01
Define
Lock the model, version, region, time zone, service hour, and capacity unit.
02
Schedule
Confirm institutional requirements and available provider capacity before service begins.
03
Monitor
Continuously measure TPM, availability, system error rate, and time to first token.
04
Deliver
Institutions use KAI Chat Completions capacity during the specified period for real inference requests.
03 · Capacity standard
One clear capacity unit
Capacity is defined by a specified model, version, region, and service period, so institutions know what service they are securing before use.
Each capacity unit
1,000,000 TPM × 1 hour
Each capacity unit continuously provides 1,000,000 TPM in every continuous 60-second metering window throughout the service hour.
Weighted TPM = I + W × O
Continuous 60-second metering windows · Weighted TPM = I + W × O
View the complete service definition
Standard service parameters
- Fixed model name and verifiable version digest
- One continuous 60-minute service period in an explicit IANA time zone
- Fixed service, network, and data-processing regions
- 1,000,000 TPM × 1 hour per capacity unit
Usage boundaries
- Throughput, availability, latency, and service standards jointly define capacity
- GPUs, model weights, and end-user identity are outside the service scope
- Unused capacity does not roll over to later windows
- No new requests for the period are accepted after the service hour ends; accepted requests continue to completion
04 · Service assurance
Build delivery confidence through verifiable rules
Service assurance comes from approval before service, traceable records, continuous monitoring, and real delivery—not abstract claims.
01
Approval before service
Every capacity claim must be approved and verified before service is provided.
02
End-to-end traceability
Account permissions, usage records, and data processing must remain traceable.
03
Continuous monitoring
TPM, availability, system error rate, and time to first token are recorded throughout the service period.
04
Real delivery
Delivery results in qualified, measurable Chat Completions services.
05 · Operating model
Clear roles, continuous delivery
Institutional customers, capacity providers, and KAI operations each assume clear, traceable service responsibilities.
Capacity providers
Capability
Integrate a Provider and register available capacity
Responsibility
Capacity source, service quality, metering evidence, and incident remediation
KAI operations
Capability
Coordinate capacity, monitor quality, and manage incidents
Responsibility
Access approval, service oversight, permission isolation, and operational continuity
Institutional access
Plan your next compute period
If your institution is planning capacity for a specific model, region, or period, contact KAI.