Overview
Konjac Enterprise AI Gateway (Mai Gateway) is an enterprise-level AI gateway launched by Konjac AI. It is committed to enabling enterprises to use large-scale, secure, controllable and compliant models, providing full-link solutions from model access, authority management, flow control to cost management, security compliance, operation and maintenance operations, supporting private local deployment, and adapting to various enterprise complex business scenarios. First, computing power and model management: From architecture fragmentation to high availability, shield the underlying interface differences to ensure business continuity with elastic scheduling. "Multi-model unified integration: centralized management of popular large models, open source self-built models and third-party large model APIs to achieve unified distribution, measurement and monitoring of enterprise-level large models, and completely eliminate the fragmentation hazards of multi-model docking. Centralized management of GPU computing power: unified management of enterprise GPU computing power assets on and under the cloud, real-time monitoring of computing power health and performance water levels, to maximize the intangible value of computing power resources. Intelligent routing and failover: The platform adopts a distributed high-availability architecture, and the availability exceeds 99.9 %. In high concurrency scenarios or when the model service is unavailable, the gateway can automatically retry the connection to the backup link at the millisecond level, without the user being aware of it, ensuring business continuity. Full link visual monitoring: from" passive fire fighting "to" full control ". On the full link visual monitoring disk of the Konjac AI gateway, the enterprise IT operation and maintenance team can
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魔芋企业AI网关（MAI Gateway）是魔芋AI推出的企业级AI网关，致力于赋能企业规模化、安全、可控、合规地使用大模型，提供从模型接入、权限管理、流量控制到成本治理、安全合规、运维运营的全链路解决方案，支持私有化本地部署，适配各类企业复杂业务场景。一、算力与模型纳管：从架构碎片走向高可用“屏蔽底层接口差异，以弹性调度保障业务连续性。”多模型统一收编：集中纳管流行大模型、开源自建模型与第三方大模型API，实现企业级大模型的统一分发、计量与监测，彻底消除多模型对接的碎片化隐患。 GPU 算力集中管理：统一纳管云上、云下的企业GPU算力资产，实时监控算力健康状态与性能水位，最大化实现算力资源的无形价值。智能路由与故障转移：平台采用分布式高可用架构，可用性超过99.9%。在高并发场景或模型服务不可用时，网关可在毫秒级自动重试连接到备用链路，用户端毫无察觉，保障业务连续性。 全链路可视化监控：从“被动救火”走向“全面掌控”。在魔芋AI 网关的全链路可视化监控大盘上，企业 IT 运维团队可以实时追踪记录每一次请求的链路、延迟、错误率和 Token 消耗等核心指标。