온 프레미스 AI 클러스터
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.
We are using DataRobot to make some pretty huge decisions at Steward Health Care. DataRobot is very much a part of our growth strategy. It's uncharted territory for healthcare.
확장 가능한 성능
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.
강력한 보안
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.
Hadoop에서의 설치 및 모델 스코어링
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.
오프네트워크 배포
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.
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확장 가능한 성능
![]()
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. -
강력한 보안
![]()
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. -
Hadoop에서의 설치 및 모델 스코어링
![]()
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. -
오프네트워크 배포
![]()
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:
- "Four nines" 가용성 (99.99 %)
- 분산 및 자가 치유 아키텍처
- 기업용 보안 기술과의 원활한 통합
- Hadoop 클러스터 플러그 앤 플레이
- 여러 유명 데이터베이스 인증
방화벽 내의 DataRobot 배포에 대해 자세히 알고 싶습니까?
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