Model inference API
模型推理 API
Connect applications to model inference through a streamlined serving layer designed for responsive, production workloads.
通过简洁的推理服务层连接应用与模型，支撑对响应速度和稳定性有要求的生产负载。
API INFERENCE ↗API 推理 ↗AI inference, engineered for production为生产级 AI 推理而构建
Make every
token work harder.
让每一个
Token 发挥更大价值。
ArkInfer helps teams turn models into dependable products with high-performance inference, efficient token generation, and deployment options built around real workloads.
ArkInfer 帮助企业将模型能力转化为可靠产品，通过高性能推理、高效 Token 生成和贴合业务负载的部署方案，支撑 AI 应用走向生产。
MODEL CHOICE · SERVING · COMPUTE · CONTROL模型选择 · 推理服务 · 算力部署 · 运行管理
ARK
INFERENCE
INFERENCE
MODEL ROUTING
TOKEN STREAM / LIVE
COMPUTE LAYER
Built for teams shipping AI面向正在交付 AI 产品的团队
AI AgentsEnterprise CopilotsProduction APIsPrivate Workloads
One inference platform统一的推理平台
From first request
to sustained scale.
从首次调用，
到稳定规模化运行。
Choose the serving path that fits your product today. Keep room to tune, reserve capacity, and expand as traffic and requirements evolve.
根据当前产品阶段选择合适的服务方式，并随着流量和业务要求变化，持续优化、预留容量与扩展部署。
Dedicated deployment
专属部署
Shape model serving environments around performance targets, data boundaries, and operational needs.
围绕性能目标、数据边界和运维要求，配置适合业务的模型服务环境。
DEDICATED INFERENCE ↗专属推理 ↗Inference optimization
推理性能优化
Improve the serving path through model fit, runtime tuning, request scheduling, and resource allocation.
从模型匹配、运行时调优、请求调度和资源分配入手，持续改善推理链路。
OPTIMIZE YOUR STACK ↗优化推理链路 ↗Designed around your workload围绕真实业务负载设计
Your models.
Your requirements.
Your inference layer.
你的模型。
你的要求。
你的推理底座。
Bring model choice, serving, and infrastructure into one coordinated approach. Start with a focused workload and evolve the setup as your product grows.
将模型选择、推理服务与基础设施纳入统一方案。从具体业务负载起步，再随产品成长逐步演进。
01
AI agents & copilotsAI Agent 与智能助手Support interactive generation, tool use, and changing request patterns.适配交互式生成、工具调用与不断变化的请求模式。
02
Enterprise AI products企业级 AI 产品Align deployment, access, and operating controls with business needs.让部署方式、访问管理和运行控制贴合企业业务需求。
03
High-volume token workloads高并发 Token 负载Plan serving capacity and optimize resource use as demand changes.随需求变化规划服务容量并优化资源使用。
A coordinated serving path协同工作的推理链路
Performance is a
system decision.
性能来自系统
层面的协同。
A production inference experience depends on more than the model. ArkInfer brings the key layers into view so teams can make informed trade-offs across quality, responsiveness, and operating needs.
生产级推理体验不只取决于模型。ArkInfer 将关键链路纳入统一视野，帮助团队在效果、响应速度与运行需求之间做出合适取舍。
ARKINFER / INFERENCE FLOWREADY TO SCALE链路就绪
Model模型QUALITY · FIT
→
Runtime运行时EXECUTION
→
Serving服务层ROUTING · SLO
REQUEST请求→ TOKEN STREAM →APPLICATION应用
A full-stack approach全栈推理架构
One path. Every layer in view.
一条链路，层层清晰。
Coordinate the components behind reliable AI serving, then tune the parts that matter most to your workload.
协同构建可靠的 AI 服务链路，并针对业务最关心的环节进行持续调优。
01 / MODEL
Model layer
模型层
Select and match models to task requirements.
选择模型并匹配任务要求。
02 / RUNTIME
Inference runtime
推理运行时
Tune execution for efficient generation.
调优执行链路，提升生成效率。
03 / SERVING
Serving & routing
服务与路由
Coordinate requests, policies, and capacity.
协调请求、策略与服务容量。
04 / COMPUTE
Infrastructure
基础设施
Deploy compute to fit operating objectives.
按运行目标配置算力与部署环境。
Build with ArkInfer与 ArkInfer 一起构建
Let’s make inference work for you.
让推理能力，
真正服务于你的业务。
Share your model, traffic, and deployment requirements. Our team can help you map out a practical inference solution.
告诉我们你的模型、流量和部署需求，一起梳理切实可行的推理方案。