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Google > 实例探究 > Ordaōs: Discovering life-saving drugs faster with Google Kubernetes Engine

Ordaōs: Discovering life-saving drugs faster with Google Kubernetes Engine

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公司规模
Startup
地区
  • America
国家
  • United States
产品
  • Google Kubernetes Engine
  • Google Cloud SQL
  • Google Cloud Storage
  • Memorystore for Redis
  • AlphaFold
技术栈
  • Kubernetes
  • Generative AI
  • SQL Databases
  • Cloud Computing
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Productivity Improvements
  • Innovation Output
技术
  • 平台即服务 (PaaS) - 数据管理平台
  • 分析与建模 - Generative AI
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 医疗保健和医院
  • 生命科学
适用功能
  • 产品研发
  • 商业运营
用例
  • 机器状态监测
  • 远程资产管理
服务
  • 云规划/设计/实施服务
  • 系统集成
关于客户
Ordaōs is a human-enabled, machine-driven drug design company that focuses on AI-driven drug discovery. The company is on a journey to overcome the industry’s dependency on chance with an AI-based approach to intelligent drug design. Ordaōs uses generative AI to design mini-proteins, achieving better results 30x faster than traditional discovery methods. The company relies on its cloud computing capabilities to design, process, and analyze data for millions of protein structures. As a leader in AI-driven drug discovery, Ordaōs needed a cloud partner that could support larger-scale data sets as its operations grew.
挑战
Managing and processing terabytes of data is a monumental task, but for Ordaōs, doing so effectively is a core business offering. With its previous cloud provider, the company experienced outages that impacted its ability to work on projects. The company began its search for alternative cloud solutions and found close alignment between its own roadmap and Google Cloud AI. It also saw value in other partnerships available through Google Cloud, including AlphaFold, an AI program that predicts protein structures. The organization was also looking for more ways to optimize the performance of its SQL databases running on Kubernetes.
解决方案
Ordaōs moved its cloud computing and storage to Google Cloud Storage and Google Kubernetes Engine to achieve increased flexibility and easier scalability as it took on new, larger AI projects. With GKE, Ordaōs has access to a scalable, automated Kubernetes service. Combined with Cloud SQL, which provides the company with complete database management, Ordaōs is able to set itself up to grow. The company worked with Google Cloud partner Persistent to support its small team during the migration. Ordaōs connected its GKE clusters to Memorystore for Redis, an in-memory service that reduces application latency, to support event-driven scaling via KEDA.
运营影响
  • Improves computational performance with Google Cloud SQL to analyze novel protein structures faster.
  • Developed scalable data infrastructure to support company growth.
  • Reduces time spent on support and data maintenance to focus on building new data models.
数量效益
  • Reduces monthly data processing costs by 30%
  • 20x faster training speed for machine learning models

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