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.
Try It Free
$300 Free Credits for Your Google Cloud Projects
Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Real-time production information is needed to optimize manufacturing activities in a factory, but acquiring this information from isolated proprietary equipment is a manual process that takes time and introduces errors. Connecting equipment to the factory network can make accurate production information immediately available, but widespread interconnection of equipment has been inhibited by the lack of common information models and methods to measure performance and conformance. This project...
A framework that compares performance of different pieces of code. Available in four languages: c#.net (SharpKinoko), java (JKinoko), c (CKinoko) and c++ (CppKinoko)
A lightweight performance and functional Test Tool that executes tests again a list of URLs recorded from IE or Firefox! Very easy to use! Provides multiple user / iteration testing with basic response times.
PLEASE NOTE THIS DOESN'T APPEAR TO WORK ON ALL OPERATING SYSTEMS - LOOKING TO FIX
SPARKUnit is a unit test framework for the SPARK programming language. It enables developers to create unit tests which can be analysed by the SPARK Examiner. This allows for testing of operations with preconditions and flow analysis of test cases.
The goal of this project is to develop a framework to test and measure the performance of IEEE 802.11 based devices. Currently we aims to address the issues related to protocol conformance testing for a device.