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Train ML Models With SQL You Already Know
BigQuery automates data prep, analysis, and predictions with built-in AI assistance.
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Universal sw mgmt tool optimized for best resource usage.
In SW mgmt, sw is organized in packages with dependencies. Process consists of more tasks, using different resources: net, CPU
UniPkg runs tasks in parallel with optimal usage of resources.
DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
Engrane3D is a fully working LiveCD OS powered by Slackware/Slax with a personalized set of tools to set, configure clusters, tools for hosting serving, a built-in parallel 3D renderer and a nice set of compilers and libs (SDL,MPI, Mesa).
Lucie enables parallel network installation of large numbers of nodes from one single administration server. It is designed to be scalable and efficient, so a complete Linux cluster can be built from scratch in a short amount of time.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.