On Premise AI Cluster hero

Cluster IA local

Scale your data science capabilities—while maintaining singular control over performance, physical and logical access, data security, and more.
With support for on-premise Linux servers and scalable Hadoop infrastructure, DataRobot offers blazing performance, strict adherence to controls, and a relentless focus on data protection – all while saving a fortune in hardware costs.
Orange waves
on premise
Estamos utilizando o DataRobot para tomar algumas decisões muito importantes na Steward Health Care. O DataRobot é uma parte importante de nossa estratégia de crescimento. É um território não explorado na área da saúde.
Erin Sullivan

Diretor Executivo, Steaward Health Care


Desempenho escalável
DataRobot features a massively parallel modeling engine that can scale to hundreds or even thousands of powerful servers to explore, build, and tune enterprise AI models. Large datasets? Wide datasets? No problem. Modeling speed and scalability is limited only by the compute resources at DataRobot's disposal.
Segurança robusta
DataRobot employs the most cutting-edge data security protocols, including LDAP, Kerberos, and SSO/SAML 2.0 for user authentication to prevent unauthorized access to proprietary data. Data sent to be trained or scored is encrypted and transmitted with TLS 1.2 over your private network to the application or prediction endpoints.
Instalação e scoring do modelo em Hadoop
DataRobot can be installed as a service on YARN in Hadoop clusters, and perform distributed model scoring on data stored on HDFS, to bring enterprise AI to your Hadoop stack. Using Spark for large-scale data processing, DataRobot adheres to all Hadoop management processes and policies.
Implantação fora da rede
If your data is subject to strict regulatory compliance (such as HIPAA) or has a classification that requires specific security controls, DataRobot can be installed in an off-network configuration. Downloadable scoring code (or scoring code approximations) can be deployed to offline servers for local scoring.
  • Desempenho escalável
    DataRobot features a massively parallel modeling engine that can scale to hundreds or even thousands of powerful servers to explore, build, and tune enterprise AI models. Large datasets? Wide datasets? No problem. Modeling speed and scalability is limited only by the compute resources at DataRobot's disposal.
  • Segurança robusta
    DataRobot employs the most cutting-edge data security protocols, including LDAP, Kerberos, and SSO/SAML 2.0 for user authentication to prevent unauthorized access to proprietary data. Data sent to be trained or scored is encrypted and transmitted with TLS 1.2 over your private network to the application or prediction endpoints.
  • Instalação e scoring do modelo em Hadoop
    DataRobot can be installed as a service on YARN in Hadoop clusters, and perform distributed model scoring on data stored on HDFS, to bring enterprise AI to your Hadoop stack. Using Spark for large-scale data processing, DataRobot adheres to all Hadoop management processes and policies.
  • Implantação fora da rede
    If your data is subject to strict regulatory compliance (such as HIPAA) or has a classification that requires specific security controls, DataRobot can be installed in an off-network configuration. Downloadable scoring code (or scoring code approximations) can be deployed to offline servers for local scoring.
  • Enterprise-Grade

    Now that enterprise AI impacts an ever-increasing number of business processes, it is critical that a platform for building and deploying models be hardened, trusted and integrated within your ecosystem of technologies.
  • DataRobot is trusted by some of the largest Fortune 100 organizations around the world. Features that make DataRobot truly enterprise-grade include:

    • "Quatro noves" de disponibilidade (99,99%)
    • Arquitetura distribuída e auto regenerável
    • Integração perfeita com tecnologias de segurança empresarial
    • Cluster Hadoop, plug and play
    • Várias certificações de bancos de dados conhecidas

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