Tzafon, a San Francisco-based startup and AI R&D lab, is partnering with Google Cloud to utilize Google’s AI-optimized infrastructure and cloud services to help Tzafon deliver automation at large scale.
The Tzafon team aims to do this by building systems and models that can support multiple, autonomous AI agents that are capable of working together and interacting with common interfaces like applications, operating systems, and web browsers.
Now, Tzafon will partner with Google Cloud to access the compute resources and cloud services it needs to train its new multi-agent models – and to develop new automation frameworks that will allow Tzafon’s agents to collaborate more quickly and seamlessly.
Through its partnership with Google Cloud, Tzafon will:
Use NVIDIA GPUs through Google Cloud to train new machine intelligence models capable of managing multiple AI agents.
Develop individual agents capable of interacting with operating systems, web browsers, and applications on a person’s behalf.
Scale workloads up or down quickly using Google Kubernetes Engine.
Use BigQuery to effectively manage the large volumes of data underpinning its systems.
Today, more than 60% of the world’s generative AI startups are using Google Cloud. Now, Tzafon joins them in gaining access to Google Cloud’s complete AI stack, with reliable compute capacity, strong price performance, robust data infrastructure, and elasticity to scale quickly, among many other features that are essential in the emerging field of AI.
