Google has unveiled a series of new artificial intelligence (AI) features integrated into its cloud offerings, aiming to cater to businesses eager to leverage AI technology.
The tech giant introduced these new AI-powered functionalities for tasks like data searches, online collaboration, language translation, and image processing at its annual Cloud Next conference, which marked the first in-person event since 2019.
New AI Tools of Google
Thomas Kurian, CEO of Google Cloud, expressed his excitement about the event, highlighting the innovations achieved across the company's portfolio in Infrastructure, Data and AI, Workspace Collaboration, and Cybersecurity solutions.
During the Cloud Next '23 event, Google introduced several key advancements designed to help businesses harness AI and cutting-edge cloud technologies. It included the AI-optimized infrastructure.
Google unveiled the most advanced AI-optimized infrastructure for companies to train and serve models. The company offers this infrastructure in its cloud regions to run in the firms' data centers with Google Distributed Cloud and on the edge.
Google also introduced enhancements to Vertex AI, offering developer tools to build custom models and AI-powered applications. The platform's features include improved capabilities for creating custom models and developing enterprise-level Search and Conversation applications.
Google also unveiled the Duet AI, an AI collaborator integrated into both Google Workspace and Google Cloud. This AI assists users in various tasks, such as writing, project management, and creative design. The technology is designed to enhance productivity and creativity.
Furthermore, Google highlighted the expansion of its global network, aiming to operate entirely on carbon-free energy around the clock by 2030. The company's AI-optimized infrastructure garnered significant interest, with over 70 percent of AI-powered startups being Google Cloud customers.
Key Advancements
Key infrastructure advancements to help customers were also announced. It included the Cloud TPU v5e.
Google introduced Cloud TPU v5e, a cost-efficient AI accelerator designed to handle large-scale AI training and inference tasks. It offers substantial improvements in performance and efficiency over its predecessor, Cloud TPU v4.
Google's upcoming A3 VMs powered by NVIDIA's H100 GPU were also announced. Scheduled to be available next month, these advanced VMs are built for demanding AI and large language model (LLM) workloads, delivering significantly improved training performance.
Google also unveiled the GKE Enterprise, which allows multi-cluster horizontal scaling, a crucial feature for demanding AI and ML workloads. GKE's autoscaling, workload orchestration, and automatic upgrade benefits are now available with Cloud TPU v5e.
Google has also introduced a global networking platform called Cross-Cloud Network, designed to help customers connect and secure applications across various clouds. The platform is built to offer improved network latency and provide machine learning-powered security.
Designed for organizations seeking to run workloads on the edge or within their data centers, Google said its Distributed Cloud was expanded to include AI capabilities through Vertex AI integrations and a new managed offering of AlloyDB Omni on GDC Hosted.
Vertex AI Platform
The company's Vertex AI platform was also discussed, offering comprehensive tools for building, deploying, and scaling machine learning models. Vertex AI Search and Conversation functionalities were made generally available, enabling organizations to create Search and Chat applications with minimal coding.
In the realm of security, Google emphasized its commitment to addressing top security challenges by integrating AI-driven solutions. Features included Mandiant Hunt for Chronicle, agentless vulnerability scanning, Cloud Firewall Plus with advanced threat protection, and more.
The conference underscored Google's dedication to harnessing AI's transformative power for businesses, demonstrating how AI-driven innovations can reshape industries and improve day-to-day operations.
Related Article : Google DeepMind is Reportedly Developing Life Advice Giving AI