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What is OpenHPC?

Welcome to the OpenHPC website, a collaborative platform that emerged from a community-driven initiative focused on integrating crucial elements required for the effective deployment and management of High Performance Computing (HPC) Linux clusters. This effort includes an array of tools tailored for provisioning, resource management, I/O clients, development utilities, and a variety of scientific libraries, all meticulously designed with a priority on HPC integration. The packages provided by OpenHPC are pre-constructed to function as reusable building blocks for the HPC community, thereby ensuring both efficiency and ease of access. As the community continues to grow, there is a vision to establish and develop abstraction interfaces among key components to enhance modularity and interchangeability throughout the ecosystem. This initiative encompasses a wide range of stakeholders, including software vendors, hardware manufacturers, research institutions, and supercomputing centers, all committed to the smooth integration of popular components available for open-source use. In their collaborative efforts, they not only strive to stimulate innovation and teamwork in High Performance Computing but also aim to continuously improve the tools and technologies that define this dynamic field. This commitment to collective progress is essential for shaping the future landscape of HPC.

What is Google Cloud Managed Service for Apache Spark?

Managed Service for Apache Spark is a comprehensive Google Cloud solution that enables organizations to run Apache Spark workloads with minimal operational overhead and maximum performance. It combines serverless Spark and fully managed clusters into a single platform, giving users flexibility in how they deploy and manage workloads. The service eliminates the need for manual infrastructure setup, allowing teams to focus on data engineering, analytics, and machine learning tasks. Its Lightning Engine significantly boosts performance, delivering up to 4.9 times faster execution compared to open-source Spark without requiring code changes. The platform integrates with Gemini AI to provide intelligent development assistance, including automated PySpark code generation, troubleshooting, and workflow optimization. It supports open data formats like Apache Iceberg, enabling seamless integration into modern lakehouse architectures. Users can connect with Google Cloud services such as BigQuery and Knowledge Catalog for unified analytics and governance. The platform is designed for scalability, handling everything from small workloads to enterprise-level data processing. It also supports GPU acceleration for advanced machine learning use cases. Built-in security features, including IAM and VPC Service Controls, ensure strong data protection and compliance. Flexible pricing options allow users to optimize costs based on usage patterns. The service simplifies migration from legacy Spark environments with minimal code changes. Overall, it provides a powerful, efficient, and AI-enhanced platform for modern data processing and analytics.

Media

Media

Integrations Supported

Integrations Supported

Apache Spark
Ascend
Collibra
Gemini Enterprise Agent Platform
Gemini Enterprise Agent Platform Notebooks
Google Cloud BigQuery
Google Cloud GPUs
Google Cloud Platform
Google Cloud Profiler
IBM watsonx.data integration
Immuta
Kubernetes
Openbridge
Orchestra
Pantomath
Privacera
Qubole
Ternary
Unravel
definity

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

The Linux Foundation

Company Location

United States

Company Website

openhpc.community/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/products/managed-service-for-apache-spark

Categories and Features

Cluster Management

Not specified

Categories and Features

Big Data

Collaboration
Data Blends
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Predictive Analytics

Cluster Management

Not specified

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling

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