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Build Agents and Models on One Platform
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.
A platform for developing mathematical models of static/dynamic physical systems, a simulation evironment for such models and a set of component libraries. It combines features from Simulink, Modelica or AMESim with unique features on its onw.
METIL is a python-like interpreted or compiled language made for speed and generic programming, as in C++ but with static symbolic computations, type propagation, "for" surdefinition. Object orientation is centered on properties, rather than hierarchy.
Fast instruction-set simulators for MIPS32. Includes an interpreter, static-compiled simulator builder, and a dynamic-compiled simulator that optionally uses multiprocessing. Runs statically-linked binary from cross-gcc. Supports GDB remote debugging.
A Spectral Element Solver for Structural Health Monitoring Application
A solver based on the spectral element method, used in conjunction with FEMAP, as a pre- and post- processor. It solves the elastic wave propagation problem, and the coupling with a piezoelectric materials for excitation and sensing. It is currently in 2D and has both static and transient capabilities.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.