EpirusBank OpenHackathon is proudly powered by Google Cloud and IBM, providing robust and cutting-edge infrastructure to support your innovation and creativity.
Here’s what you need to know about the infrastructure and the resources available to you:
Vertex AI offers access to the latest Gemini models from Google, including Gemini 3. Gemini is capable of understanding virtually any input, combining different types of information, and generating almost any output.
Prompt and test Gemini in Vertex AI Studio, using text, images, video, or code. Using Gemini’s advanced reasoning and state-of-the-art generation capabilities, developers can try sample prompts for extracting text from images, converting image text to JSON, and even generate answers about uploaded images to build next-gen AI applications.
You can also choose from the widest variety of models with first-party (Gemini, Imagen, Chirp, Veo), third-party (Anthropic’s Claude Model Family), and open models (Gemma, Llama 3.2) in Model Garden.
Use extensions to enable models to retrieve real-time information and trigger actions. You can also customize models to your use case with a variety of tuning options.
Still under planning
You can begin experimenting and working on your hackathon projects with Google AI Studio.
You get a free access and have a very similar environment and tools to Vertex AI. So a great way to begin your journey to Google’s AI experience.
Detailed instructions and credentials for accessing your team’s GCP environment
IBM watsonx.ai is an enterprise studio which includes tools for working with data and models, foundation models for generative AI, and the hardware and software resources for computing and inferencing.
Develop custom AI applications faster and easier with an integrated, collaborative, end-to-end developer studio that features an AI developer toolkit and full AI lifecycle management.
The tools, foundation models, and hardware and software resources that you have access to depend on which services are installed on your system and the installation mode you choose.
From the full watsonx.ai service installation, you can experiment with prompt engineering for various foundation models, create prompt templates to evaluate different combinations of prompt text and foundation models, and customize foundation models for your specific use case by tuning the models.
You can optionally install the watsonx.ai lightweight engine, which is a deployment with an optimized footprint that offers run time features, such as hosting and inferencing foundation models, that you can embed into your generative AI applications.
In addition to working with foundation models that are curated by IBM, you can upload and deploy your own foundation models which provides flexibility for you to implement AI solutions with models that are right for your use case.
Detailed instructions and credentials for accessing your team’s GCP environment