At the Google Cloud Next ’24 event, Google Distributed Cloud (GDC) unveiled a series of updates geared towards enhancing its suite of cloud products. These updates include support for new AI models and significant improvements in security measures. Notably, GDC now accommodates open AI models like Llama and Gemma, along with obtaining ISO27001 and SOC2 compliance certifications.
The enhancements to GDC aim to bolster its capabilities in various aspects, ranging from AI-driven solutions to security protocols. The addition of open AI models such as Llama and Gemma is expected to augment generative AI search functionalities. These models will enable features like on-premise data retrieval and natural language search utilizing the Gemma 7B model. The solution, leveraging Vertex AI for LLM services and a pre-trained API for tasks like speech-to-text, translation, and OCR capabilities, is slated to enter a preview phase in Q2 2024.
Moreover, GDC has undergone significant security enhancements to ensure compliance with regulatory standards. The architecture now places a premium on safeguarding sensitive applications. By obtaining ISO27001 and SOC2 compliance certifications, GDC reaffirms its commitment to adhering to industry regulations. Additionally, the introduction of a new Intrusion Detection and Prevention Solution, integrating Palo Alto Networks threat prevention technology, further fortifies the platform’s security infrastructure.
To facilitate developers, Google has introduced the GDC Sandbox, providing a dedicated space for building and testing services. Furthermore, GDC storage has been optimized to support large-scale analytics or AI workloads effectively. The inclusion of support for Apigee, Google’s renowned API management solution, will enhance GDC’s capabilities further, alongside the introduction of Managed GDC providers.
In a move to empower customers in identifying secure software vendors, Google has launched the Google Cloud Ready – Distributed Cloud badge. This initiative underscores Google’s commitment to prioritizing security and reliability across its ecosystem. Additionally, Google has reiterated its collaboration with NVIDIA, aiming to provide cutting-edge GPUs tailored for AI workloads. Notably, the availability of a new energy-efficient NVIDIA L4 Tensor Core GPU underscores Google’s dedication to offering high-performance computing solutions while minimizing environmental impact.
