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Google Cloud has introduced Rapid Storage, a new zonal bucket designed for millisecond-latency workloads. This storage solution promises single-digit millisecond data access, with read and write latencies below 1 millisecond. Rapid Storage offers up to 20 times faster access with a throughput capacity of 6 TB/s. Unlike traditional storage options, which distribute data across multiple zones, Rapid Storage keeps data within a single zone. This feature enhances performance for applications utilizing GPUs and TPUs.
Sameet Agarwal, VP/GM at Google, stated, "To train, checkpoint, and serve AI models at peak efficiency, you need to keep your GPU or TPUs saturated with data to minimize wasted compute." The approach leverages Google’s Colossus file system, co-locating storage with AI accelerators to minimize latency.
Rapid Storage can be integrated with popular AI frameworks like TensorFlow and PyTorch through . Google emphasizes that this new storage class delivers five times lower latency for random reads and writes compared to other providers. This is critical for enterprises looking to optimize their AI and machine learning operations.
For additional context, a Reddit discussion highlighted Google's unique position in the market, offering various object storage types with a unified API. In response to this announcement, AWS has also made headlines by reducing prices for its S3 Express One Zone service.
Image courtesy of Google Cloud
Google Cloud Next 2025 Highlights
Google Cloud Next 2025 showcased numerous innovations, including over 200 product announcements. Key sessions included advancements surrounding AI, infrastructure, and security, with a focus on enhancing the developer experience. The event featured interactive experiences and practical learning sessions focused on topics such as AI innovation and modern infrastructure.
Highlights from the event included the introduction of Gemini 2.5 Pro, which is available for public preview, and Gemini 2.5 Flash, aimed at improving performance and cost-effectiveness. These updates reflect Google’s commitment to revolutionizing developer workflows in the cloud space.
Image courtesy of Google Cloud
Google Cloud AI for Scientific Research
Google Cloud is enhancing its platform for scientific discovery by integrating supercomputing capabilities and AI. The latest offerings include H4D VMs, designed for high-performance computing, enabling large-scale simulations and data analysis. These VMs are powered by the latest AMD CPUs and utilize advanced Titanium network acceleration for efficient processing.
Moreover, Google Cloud has introduced AI models such as AlphaFold 3, which allows for accurate predictions of molecular structures. This is crucial for researchers in fields such as drug discovery and materials science. The seamless integration of AI with supercomputing resources enables scientists to conduct complex computations more efficiently.
Image courtesy of Google Cloud
Google Cloud Compute Innovations
The recent advancements in Google Cloud’s Compute Engine platform include new fourth-generation compute instances and Hyperdisk storage. The C4D VM series, built on AMD's 5th Gen EPYC processors, offers enhanced performance for general computing, achieving up to 30% improvements over previous generations. This is particularly beneficial for enterprises needing reliable and efficient cloud solutions.
For storage-intensive workloads, the Z3 family now features Titanium SSDs, providing higher performance for SQL and NoSQL databases. Additionally, Google Cloud VMware Engine has expanded with more node shapes, offering flexibility for enterprises modernizing their cloud infrastructure.
Image courtesy of Google Cloud
Security and Authentication Solutions
In the realm of identity and access management (IAM), securing user authentication is paramount. Companies like SSOJet provide robust solutions for enterprises looking to implement secure single sign-on (SSO) and user management. SSOJet's API-first platform features directory synchronization, SAML, OIDC, and magic link authentication, ensuring seamless integration and enhanced security.
By leveraging SSOJet's services, organizations can significantly improve their security posture against breaches. The platform simplifies user management while maintaining compliance with industry standards, making it an ideal choice for businesses transitioning to cloud environments.
Explore our services at SSOJet to learn how we can help your organization enhance its authentication processes. Visit us at for more information or to get started.
Google Cloud has introduced Rapid Storage, a new zonal bucket designed for millisecond-latency workloads. This storage solution promises single-digit millisecond data access, with read and write latencies below 1 millisecond. Rapid Storage offers up to 20 times faster access with a throughput capacity of 6 TB/s. Unlike traditional storage options, which distribute data across multiple zones, Rapid Storage keeps data within a single zone. This feature enhances performance for applications utilizing GPUs and TPUs.
Sameet Agarwal, VP/GM at Google, stated, "To train, checkpoint, and serve AI models at peak efficiency, you need to keep your GPU or TPUs saturated with data to minimize wasted compute." The approach leverages Google’s Colossus file system, co-locating storage with AI accelerators to minimize latency.
Rapid Storage can be integrated with popular AI frameworks like TensorFlow and PyTorch through . Google emphasizes that this new storage class delivers five times lower latency for random reads and writes compared to other providers. This is critical for enterprises looking to optimize their AI and machine learning operations.
For additional context, a Reddit discussion highlighted Google's unique position in the market, offering various object storage types with a unified API. In response to this announcement, AWS has also made headlines by reducing prices for its S3 Express One Zone service.
Image courtesy of Google Cloud
Google Cloud Next 2025 Highlights
Google Cloud Next 2025 showcased numerous innovations, including over 200 product announcements. Key sessions included advancements surrounding AI, infrastructure, and security, with a focus on enhancing the developer experience. The event featured interactive experiences and practical learning sessions focused on topics such as AI innovation and modern infrastructure.
Highlights from the event included the introduction of Gemini 2.5 Pro, which is available for public preview, and Gemini 2.5 Flash, aimed at improving performance and cost-effectiveness. These updates reflect Google’s commitment to revolutionizing developer workflows in the cloud space.
Image courtesy of Google Cloud
Google Cloud AI for Scientific Research
Google Cloud is enhancing its platform for scientific discovery by integrating supercomputing capabilities and AI. The latest offerings include H4D VMs, designed for high-performance computing, enabling large-scale simulations and data analysis. These VMs are powered by the latest AMD CPUs and utilize advanced Titanium network acceleration for efficient processing.
Moreover, Google Cloud has introduced AI models such as AlphaFold 3, which allows for accurate predictions of molecular structures. This is crucial for researchers in fields such as drug discovery and materials science. The seamless integration of AI with supercomputing resources enables scientists to conduct complex computations more efficiently.
Image courtesy of Google Cloud
Google Cloud Compute Innovations
The recent advancements in Google Cloud’s Compute Engine platform include new fourth-generation compute instances and Hyperdisk storage. The C4D VM series, built on AMD's 5th Gen EPYC processors, offers enhanced performance for general computing, achieving up to 30% improvements over previous generations. This is particularly beneficial for enterprises needing reliable and efficient cloud solutions.
For storage-intensive workloads, the Z3 family now features Titanium SSDs, providing higher performance for SQL and NoSQL databases. Additionally, Google Cloud VMware Engine has expanded with more node shapes, offering flexibility for enterprises modernizing their cloud infrastructure.
Image courtesy of Google Cloud
Security and Authentication Solutions
In the realm of identity and access management (IAM), securing user authentication is paramount. Companies like SSOJet provide robust solutions for enterprises looking to implement secure single sign-on (SSO) and user management. SSOJet's API-first platform features directory synchronization, SAML, OIDC, and magic link authentication, ensuring seamless integration and enhanced security.
By leveraging SSOJet's services, organizations can significantly improve their security posture against breaches. The platform simplifies user management while maintaining compliance with industry standards, making it an ideal choice for businesses transitioning to cloud environments.
Explore our services at SSOJet to learn how we can help your organization enhance its authentication processes. Visit us at for more information or to get started.