specification: API Commons Rate Limits specificationVersion: '0.1' schema: https://raw.githubusercontent.com/api-evangelist/interface-research/main/schema/api-commons.yml#/$defs/RateLimits provider: Lamini providerId: lamini created: '2026-06-20' modified: '2026-06-20' reconciled: false tags: - AI - LLM - Fine-Tuning - Memory Tuning - Inference - Rate Limiting - Quotas - Throttling description: >- The Lamini Platform meters inference and tuning usage per account and is governed primarily by available credit / spend on the On-Demand tier and by reserved GPU capacity on Enterprise. Concurrent inference requests and tuning jobs are bounded by account capacity rather than fixed published per-minute request quotas. Specific numeric limits are not publicly documented and are not reconciled in this artifact. notes: >- Lamini does not publish a fixed per-minute request/token rate table the way OpenAI-style providers do; throughput is bounded by On-Demand credit and Enterprise reserved capacity. Confirm any concurrency or job limits with Lamini support during reconciliation. sources: - https://docs.lamini.ai - https://www.lamini.ai/pricing responseCodes: throttled: 429 limits: - name: Concurrent Inference Requests scope: account metric: requests limit: see provider documentation notes: Inference concurrency bounded by account capacity and credit/tier. - name: Concurrent Tuning Jobs scope: account metric: jobs limit: see provider documentation notes: Number of simultaneous tuning jobs bounded by GPU capacity / tier. - name: Tuning Throughput scope: account metric: steps limit: see provider documentation notes: Burst tuning scales linearly across multiple GPUs/nodes on On-Demand. - name: Credit / Spend Ceiling scope: account metric: usd limit: see provider documentation notes: On-Demand usage is bounded by available prepaid or free credit. policies: - name: Capacity-Based Limits description: Throughput scales with On-Demand credit and Enterprise reserved GPU capacity rather than fixed per-minute quotas. - name: Backoff Strategy description: Clients should implement exponential backoff with jitter and honor Retry-After on 429 responses. maintainers: - FN: Kin Lane email: kin@apievangelist.com