Eighty Eight MPH

This modern MLOps platform enables engineering teams to ship machine learning models to production rapidly by handling end-to-end deployment, auto-scaling, real-time monitoring, and governance, solving infrastructure complexity, deployment bottlenecks, latency and drift issues, and cloud-cost overruns with a single cohesive workflow: one-click deployment for multiple ML frameworks and custom models; no Kubernetes expertise required; live dashboards for inference latency, drift, and resource utilization with instant alerts; auto-scaling from zero to thousands of requests per second; canary and shadow deployments with gradual rollouts and instant rollback; enterprise-grade security and compliance with SOC 2 Type II, VPC isolation, encryption at rest and in transit, and extensive audit logs; cost optimization via smart instance selection, spot instance management, and GPU sharing; production-ready capabilities like model caching, feature stores, and automatic framework detection from repository.
Designed for AI/ML engineering teams, data scientists, and enterprise developers deploying LLMs, computer vision, and recommendation systems, it provides faster time-to-market, reliable uptime, low latency, real-time telemetry, versioned deployments, safe experimentation, and governance to reduce operational toil and cloud spend.

Eighty Eight MPH 可以在以下位置找到： AutoML Platforms 类别。