![]() “Developers have many choices for building, innovating and migrating their applications. You can learn more about AlloyDB for PostgreSQL here. It also offers an impressive 99.99% SLA inclusive of maintenance, and no complex licensing or I/O charges. Of course, AlloyDB is fully PostgreSQL-compatible, meaning that developers can reuse their existing development skills and tools. AlloyDB’s fully-managed database operations and ML-based management systems can relieve administrators and developers from daunting database management tasks. It’s also two times faster than AWS’ comparable PostgreSQL-compatible service for transactional workloads. Our performance tests show that AlloyDB is four times faster for transaction processing and up to 100 times faster for analytical queries than standard PostgreSQL. AlloyDB combines proven, disaggregated storage and compute that powers our most popular, globally available products such as Google Maps, YouTube, Search, and Ads - with PostgreSQL, an open source database engine beloved by developers. Then, we announced the preview of AlloyDB for PostgreSQL, a new fully managed, relational database service that gives enterprises the performance, availability, and ease of management they need to migrate from their expensive legacy database systems and onto Google Cloud. With Cloud Run jobs, you can execute your code on the highly scalable, fully managed Cloud Run platform, but only pay when your jobs are executing - and without having to worry about managing infrastructure. On the Google Cloud front, we announced the preview of Cloud Run jobs, which can reduce the time developers spend performing administrative tasks such as database migration, managing scheduled jobs like nightly reports, or doing batch data transformation. Next up, we heard from Jeanine Banks, Google Vice President of Developer Experiences and DevRel, and a number of product teams who led us through a flurry of exciting new updates about everything from Android to Flutter to Cloud. These new features deliver high quality experiences, allowing Google Workspace users to benefit from our AI leadership. And they can filter out the reverberation in large spaces with hard surfaces, giving users “conference-room-quality” audio whether they are in their basement, kitchen, or garage. Users can also now leverage portrait restore, which automatically improves video image quality - even on devices with lower quality webcams. Automated meeting transcription for Google Meet allows users who didn’t attend a meeting to stay in the loop, or for attendees to easily reference the discussion at a later time. New advancements in NLP enable summaries in Spaces to help users catch up on missed conversations by providing a helpful digest. In the keynote, Sundar also announced new AI-enabled features in Google Workspace focused on users, that are designed to help people thrive in the hybrid workplace. The exceptionally low carbon footprint of Cloud TPU v4 Pods was another key factor.…”- Aidan Gomez, CEO and Co-Founder, Cohere “…we saw a 70% improvement in training time for our ‘extremely large’ model when moving from TPU v3 to TPU v4. ![]() ![]() “Early access to TPU v4 has enabled us to achieve breakthroughs in conversational AI programming with our CodeGen, a 16-billion parameter auto-regressive language model that turns simple English prompts into executable code.” - Erik Nijkamp, Research Scientist, Salesforce Read more about the ML hub with Cloud TPU v4 here. With eight TPU v4 pods in a single data center, generating 9 exaflops of peak performance, we believe this system is the world's largest publicly available ML hub in terms of cumulative computing power, while operating at 90% carbon-free energy. Google Cloud's machine learning cluster with Cloud TPU v4 pods (in Preview), allows researchers and developers to make AI breakthroughs by training larger and more complex models faster, to power workloads like large-scale natural language processing (NLP), recommendation systems, and computer vision. Google and Alphabet CEO Sundar Pichai kicked off Day 1 of I/O with a powerhouse keynote highlighting recent breakthroughs in machine learning, including one of the fastest, most efficient, and most sustainable ML infrastructure hubs in the world. Let’s start with the keynotes… Google I/O keynote We do the heavy lifting, embedding the expertise from years of Google research in areas like AI/ML and security, so you can easily build secure and intelligent solutions for your customers. Google Cloud and Google Workspace had a big presence at the show, talking about our commitment to building intuitive and helpful developer experiences to help you innovate freely and quickly. This week is Google I/O, our largest developer conference, where developer communities from around the world come together to learn, catch up, and have fun. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |