aid: furiosa name: FuriosaAI description: >- FuriosaAI is a South Korean semiconductor company that designs data-center AI inference chips and the software stack that runs on them. Its second-generation NPU, RNGD, implements a Tensor Contraction Processor architecture on TSMC 5nm and targets LLM, multi-modal and vision inference. The developer surface is software you run yourself rather than a hosted API: Furiosa-LLM ships an OpenAI-compatible server exposing chat, completions, responses, embeddings, score, rerank, models, tokenizer and Prometheus metrics endpoints, and the earlier Furiosa Model Server implements the KServe v2 Predict Protocol and the Triton Model Repository extension over REST and gRPC. Around that sit Python, Go and Rust packages, a furiosa-smi device CLI, container images, an APT/RPM package repository, and a Kubernetes cloud-native toolkit (device plugin, DRA driver, feature discovery, metrics exporter, NPU operator). url: https://raw.githubusercontent.com/api-evangelist/furiosa/refs/heads/main/apis.yml x-type: company x-source: harvest:secondary-market specificationVersion: '0.23' created: '2026-08-16' modified: '2026-08-16' image: https://furiosa.ai/favicon.ico tags: - Artificial Intelligence - Machine Learning - Inference - Semiconductors - NPU - Hardware - LLM - Model Serving - Kubernetes - Developer Tools - Compute - Infrastructure apis: - aid: furiosa-llm-openai-server name: Furiosa-LLM OpenAI-Compatible Server description: >- The HTTP server started by `furiosa-llm serve `. It hosts a single model on RNGD NPUs and exposes an OpenAI-compatible surface - /v1/completions, /v1/chat/completions, /v1/responses (OpenResponses), /v1/embeddings, /v1/models, /v1/models/{model_id} - plus the vLLM-originated /score and /rerank pooling endpoints, a tokenizer API (/tokenize, /detokenize, /tokenizer_info), GET /version and a Prometheus GET /metrics endpoint. It is customer-hosted software, so the base URL below is templated on the operator's own host; the documented default is http://localhost:8000/v1. FuriosaAI publishes no OpenAPI for this surface - the parameter tables in the serving docs are the contract. humanURL: https://developer.furiosa.ai/latest/en/furiosa_llm/furiosa-llm-serve.html baseURL: http://{furiosa_llm_host}:8000/v1 tags: - LLM - Inference - OpenAI Compatible properties: - type: Documentation url: https://developer.furiosa.ai/latest/en/furiosa_llm/furiosa-llm-serve.html - type: APIReference url: https://developer.furiosa.ai/latest/en/furiosa_llm/reference.html - type: Authentication url: authentication/furiosa-authentication.yml - type: Conventions url: conventions/furiosa-conventions.yml - type: RateLimits url: rate-limits/furiosa-rate-limits.yml - aid: furiosa-server-predict-v2 name: Furiosa Model Server - Predict API (KServe v2) description: >- The REST and gRPC inference surface of Furiosa Model Server, serving TFLite/ONNX models on FuriosaAI NPUs. Implements the KServe/KFServing V2 Dataplane - server liveness and readiness, server and model metadata, model readiness, and inference - at /v2/*. Customer-hosted; the REST server defaults to port 8080 and the gRPC server to 8081. humanURL: https://github.com/furiosa-ai/furiosa-sdk/tree/main/python/furiosa-server baseURL: http://{furiosa_server_host}:8080 tags: - Inference - Model Serving - KServe properties: - type: OpenAPI url: openapi/furiosa-predict-v2.yaml - type: Protobuf url: grpc/furiosa-predict.proto - type: Overlay url: overlays/furiosa-predict-v2-overlay.yaml - type: ErrorCatalog url: errors/furiosa-problem-types.yml - type: DataModel url: data-model/furiosa-data-model.yml - type: SourceCode url: https://github.com/furiosa-ai/furiosa-sdk - aid: furiosa-model-repository-v2 name: Furiosa Model Server - Model Repository API description: >- The model-management surface of Furiosa Model Server, implementing the Triton Inference Server Model Repository extension - POST /v2/repository/index to list the repository and each model's readiness state, and POST /v2/repository/models/{name}/load and /unload to bring models in and out of the server. Available over both REST and gRPC. No authentication is declared, so this surface must stay on a trusted network. humanURL: https://github.com/furiosa-ai/furiosa-sdk/tree/main/python/furiosa-server baseURL: http://{furiosa_server_host}:8080 tags: - Model Serving - Model Management - Triton properties: - type: OpenAPI url: openapi/furiosa-model-repository-v2.yaml - type: Protobuf url: grpc/furiosa-model-repository.proto - type: Overlay url: overlays/furiosa-model-repository-v2-overlay.yaml maintainers: - FN: Kin Lane email: kin@apievangelist.com - FN: APIs.json email: info@apis.io common: - type: Website url: https://furiosa.ai/ - type: DeveloperPortal url: https://developer.furiosa.ai/latest/en/ - type: Documentation url: https://developer.furiosa.ai/latest/en/ - type: APIReference url: https://developer.furiosa.ai/latest/en/furiosa_llm/reference.html - type: GettingStarted url: https://developer.furiosa.ai/latest/en/get_started/furiosa_llm.html - type: Support url: https://furiosa-ai.atlassian.net/servicedesk/customer/portals - type: Community url: https://forums.furiosa.ai/ - type: Blog url: https://furiosa.ai/blog - type: GitHubOrganization url: https://github.com/furiosa-ai - type: Roadmap url: https://developer.furiosa.ai/latest/en/overview/roadmap.html - type: ChangeLog url: https://developer.furiosa.ai/latest/en/whatsnew/index.html - type: SignUp url: https://lp.furiosa.ai/furiosa-access-program - type: PrivacyPolicy url: https://furiosa.ai/privacy-policy - type: Contact url: https://furiosa.ai/contact - type: Packages url: packages/furiosa-packages.yml - type: SDKs url: packages/furiosa-packages.yml - type: CLI url: cli/furiosa-cli.yml - type: Sandbox url: sandbox/furiosa-sandbox.yml - type: Authentication url: authentication/furiosa-authentication.yml - type: Conventions url: conventions/furiosa-conventions.yml - type: ErrorCatalog url: errors/furiosa-problem-types.yml - type: Lifecycle url: lifecycle/furiosa-lifecycle.yml - type: Deprecation url: lifecycle/furiosa-lifecycle.yml - type: Conformance url: conformance/furiosa-conformance.yml - type: DataModel url: data-model/furiosa-data-model.yml - type: DomainSecurity url: security/furiosa-domain-security.yml - type: LLMsTxt url: llms/furiosa-llms.txt - type: AgentSkill url: skills/_index.yml - type: Plans url: plans/furiosa-plans-pricing.yml - type: RateLimits url: rate-limits/furiosa-rate-limits.yml - type: ChangeLog url: changelog/furiosa-changelog.yml x-enrichment: date: '2026-08-16' status: enriched artifacts_added: 26 pass: local-v1 x-base-url-note: >- All three baseURL values are TEMPLATED on purpose, not missing. FuriosaAI operates no hosted API; both HTTP surfaces are servers the customer starts on their own machine. The published defaults are http://localhost:8000/v1 for `furiosa-llm serve` and ports 8080 (REST) / 8081 (gRPC) for furiosa-server. repair-api-bases.py reports `no-usable-base` for this repo, which is the correct and expected reading of a self-hosted product rather than a defect to repair. x-contract-discovery: date: '2026-08-16' openapi_on_api_hosts: >- /openapi.json, /openapi.yaml, /swagger.json and /api-docs all returned 404 on furiosa.ai and developer.furiosa.ai; api.furiosa.ai and docs.furiosa.ai do not resolve. The two OpenAPI documents in this repo were found instead in FuriosaAI's own GitHub repository at furiosa-ai/furiosa-sdk/python/furiosa-server/openapi/. ownership_note: >- Ownership check on those two specs. Their info.title reads "Predict API" and "Model Repository" and info.description points at kubeflow/kfserving and triton-inference-server rather than at FuriosaAI, and servers[] is empty. They are nonetheless FuriosaAI's published contract: the furiosa-server README in the same first-party repository states the server is "compliant with KFServing's V2 Dataplane specification and Triton's Model Repository specification" and lists "OpenAPI specification support" as a shipped feature, so the specs describe FuriosaAI's own product implementing a borrowed protocol verbatim - the same reason the .proto files carry upstream provenance headers. graphql: No GraphQL surface exists or is documented. mcp: >- No MCP server, hosted or stdio, in 158 public repos or any registry. The developer center's only MCP mention is negative - the Responses API page states mcp built-in tools are not supported. a2a: /.well-known/agent-card.json and /.well-known/agent.json returned 404 on all three hosts. llms_txt: /llms.txt returned 404 on furiosa.ai and developer.furiosa.ai.