Search Results for "high performance computing"
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Showing 2 open source projects for "high performance computing"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data... -
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Pandora Open
Open Source Monitoring System for performance and availability.
Pandora OPEN is a high-performance, 100% open-source monitoring ecosystem, born as the independent evolution of the Pandora FMS community branch after version 777. Licensed under GPLv2, it provides a modular and sovereign platform for supervising networks, servers, and applications without commercial dependencies. It features multi-platform agents, remote monitoring (SNMP, WMI, HTTP), GIS maps, and advanced visual dashboards.
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