1. Generative AI is revolutionizing content creation, innovation, and interactions with the world.
2. Google Cloud is enhancing its storage portfolio to support the scalability and performance needs of gen AI models.
3. New storage solutions like Cloud Storage FUSE with file caching, Parallelstore, and Hyperdisk ML are being introduced to accelerate AI training, inference, and management at scale.
Generative AI is revolutionizing the way industries create, innovate, and interact with the world. Google Cloud is dedicated to providing the infrastructure necessary for businesses to utilize the capabilities of generative AI models. At the Google Cloud Next ’24 event, several advancements in the storage portfolio were announced to accelerate AI training and inference processes.
New storage solutions like Cloud Storage FUSE with file caching, Parallelstore, and Hyperdisk ML have been introduced to address the challenge of decreasing model load, training, and inference times while maximizing accelerator utilization. These innovations provide faster training and inference times through local data access, ultra-low latency, caching, and purpose-built block storage offerings for high-performance training and inference.
Google Cloud is also leveraging large language models (LLMs) to help manage cloud storage at scale through Generate insights with Gemini. This innovative solution allows users to analyze storage footprint, optimize costs, and enhance security using natural language queries. Additionally, a range of other storage innovations were unveiled at the event to benefit various use cases beyond AI/ML.
Google Cloud’s commitment to empowering businesses to unlock the full potential of AI/ML, enterprise, and cloud-first workloads is evident through its comprehensive storage solutions. Whether businesses are training massive gen AI models or running Windows or GKE workloads, Google Cloud storage offers the versatility and power needed for success. Customers are encouraged to reach out to their account team to learn more about leveraging Google Cloud storage for generative AI applications.