{"id":53478,"date":"2023-09-05T12:16:56","date_gmt":"2023-09-05T10:16:56","guid":{"rendered":"https:\/\/www.makingscience.com\/?p=53478"},"modified":"2023-09-05T12:16:56","modified_gmt":"2023-09-05T10:16:56","slug":"google-next-23-unveiling-the-ai-revolution-part-1","status":"publish","type":"post","link":"https:\/\/www.makingscience.com\/us\/blog\/google-next-23-unveiling-the-ai-revolution-part-1\/","title":{"rendered":"Google Next \u201923: Unveiling the AI Revolution | Part 1"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Google Next &#8217;23, the annual event that brings together tech enthusiasts, industry leaders, and innovators, was a remarkable showcase of Google&#8217;s commitment to revolutionizing technology across Google Cloud&#8217;s extensive portfolio spanning Infrastructure, Data and AI, Workspace Collaboration, and Cybersecurity solutions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Given our longstanding relationship as a Google Cloud Premier Partner, the Making Science team attended the event to get a first glance at the main innovations and gain insights that will shape the future of our work and value to our customers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At the heart of the event, one theme was the main character approaching the future of technology: Artificial Intelligence. The event unfolded as a dynamic showcase of AI&#8217;s transformative power across industries and its pivotal role in shaping the future of technology.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this Blog Post, we dive into the different dimensions of AI that took center stage at Google Next &#8217;23.<\/span><\/p>\n<h3><b>AI-Optimized Infrastructure<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Google Cloud is committed to providing cutting-edge AI-optimized infrastructure that empowers businesses to train and deploy AI models efficiently. This infrastructure is available across Google&#8217;s global cloud regions, on customer premises through Google Distributed Cloud, and at the edge. Notably, over 70% of &#8220;gen AI unicorns&#8221; are Google Cloud customers, emphasizing the platform&#8217;s dominance in this transformative field. Key infrastructure advancements announced at the event include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Cloud TPU v5e: <\/b><span style=\"font-weight: 400;\">This state-of-the-art AI accelerator platform is cost-efficient, versatile, and scalable. It enables customers to perform large-scale AI training and inference on a single platform, offering significant improvements in training and inference performance per dollar compared to its predecessor.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>A3 VMs with NVIDIA H100 GPU: <\/b><span style=\"font-weight: 400;\">Powered by NVIDIA&#8217;s H100 GPU, these virtual machines offer superior performance, high-speed networking, and advancements to support demanding gen AI and large language model (LLM) applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>GKE Enterprise: <\/b><span style=\"font-weight: 400;\">Enabling multi-cluster horizontal scaling, GKE Enterprise enhances productivity while reducing software deployment times, catering to mission-critical AI and ML workloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Cross-Cloud Network: <\/b><span style=\"font-weight: 400;\">This global networking platform simplifies application connectivity and security across multiple cloud environments, offering reduced network latency and improved accessibility to Google services.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Google Distributed Cloud: <\/b><span style=\"font-weight: 400;\">Designed for organizations running workloads at the edge or in their data centers. Google Distributed Cloud is being enhanced to bring AI capabilities to the edge.<\/span><\/li>\n<\/ul>\n<h3><b>Vertex AI: Building, Deploying, and Scaling ML Models<\/b><b><\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Vertex AI is Google Cloud&#8217;s comprehensive AI platform, empowering customers to build, deploy, and scale machine learning (ML) models effectively. The platform&#8217;s usage has grown substantially, with the number of gen AI customer projects surging over 150 times quickly. Main updates on this platform include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Vertex AI Search and Conversation:<\/b><span style=\"font-weight: 400;\"> These tools enable organizations to quickly create Search and Chat applications using their data, with minimal coding and robust enterprise-grade management and security features.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>New Models and Tooling:<\/b><span style=\"font-weight: 400;\"> Updates to <\/span><i><span style=\"font-weight: 400;\">PaLM 2 <\/span><\/i><span style=\"font-weight: 400;\">for processing large documents efficiently, extended support for new languages available in <\/span><i><span style=\"font-weight: 400;\">Codey<\/span><\/i><span style=\"font-weight: 400;\">, and increased capabilities for <\/span><i><span style=\"font-weight: 400;\">Imagen<\/span><\/i><span style=\"font-weight: 400;\"> regarding visual appeal and new tuning methods to create images aligned to specific requirements with a few references<\/span><i><span style=\"font-weight: 400;\">.<\/span><\/i><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Vertex AI Extensions: <\/b><span style=\"font-weight: 400;\">Developers can now access, build, and manage extensions that provide real-time information and actions, enabling gen AI applications to interact with enterprise systems and third-party platforms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Digital Watermarking: <\/b><span style=\"font-weight: 400;\">Leveraging Google DeepMind SynthID technology, digital watermarking is now available for AI-generated images, offering scalability and security in image generation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Colab Enterprise: <\/b>A service for Data Scientists to accelerate AI workflows, access the whole Vertex AI platform, integrate with BigQuery and benefit from code completion and advanced generation features.<\/li>\n<\/ul>\n<blockquote><p><span style=\"font-weight: 400;\">If you&#8217;re a cloud or data expert, we encourage you to learn more about these new features and capabilities so you can start using them to build and deploy innovative solutions.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These are just a few of the many announcements made at Google Cloud Next 2023. <\/span><b>Stay in touch for an upcoming post on how AI is shaping Cloud, Data and Security.<\/b><\/p><\/blockquote>\n<p style=\"text-align: center;\"><a style=\"border-radius: 15px; padding: 1em; background-color: #f0076f; color: white;\" href=\"https:\/\/www.makingscience.com\/contact\/\">Contact us<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google Next &#8217;23, the annual event that brings together tech enthusiasts, industry leaders, and innovators, was a remarkable showcase of Google&#8217;s commitment to revolutionizing technology across Google Cloud&#8217;s extensive portfolio spanning Infrastructure, Data and AI, Workspace Collaboration, and Cybersecurity solutions. Given our longstanding relationship as a Google Cloud Premier Partner, the Making Science team attended [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":53433,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[699,166],"tags":[474,393,689],"class_list":["post-53478","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud","category-news","tag-ai-2","tag-cloud-2","tag-google-cloud-2"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/posts\/53478","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/comments?post=53478"}],"version-history":[{"count":0,"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/posts\/53478\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/media\/53433"}],"wp:attachment":[{"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/media?parent=53478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/categories?post=53478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.makingscience.com\/us\/wp-json\/wp\/v2\/tags?post=53478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}