Kimoon Kim

The latest episode in Google Distributed Cloud's "AI anywhere" series addresses the challenges of procuring edge hardware and introduces the new customer-sourced option. Manisha Verma, Strategic Partnerships Lead for Google Distributed Cloud, discusses the challenges of procuring edge hardware and how Google Distributed Cloud is addressing these challenges with a new customer-sourced option. Key takeaways from the video: - Greater control and flexibility. The customer-sourced option empowers customers with more control over their hardware choices and procurement processes. - Pricing flexibility. Customers can leverage their existing relationships with OEMs to negotiate better pricing and terms. - CapEx advantages. Keeping hardware on their books can offer CapEx benefits for customers. - Expanded availability. The customer-sourced option is currently available in 30 countries, with plans to expand further. Watch the full video to learn more about the customer-sourced option and how Google Distributed Cloud can help you overcome edge hardware procurement challenges → https://goo.gle/4aUy5sM

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Hear from Sachin Gupta, VP and GM, Infrastructure and Solution Group, Google Cloud to learn customer-proven strategies for AI-powered innovation and modernization, leveraging the best of public cloud, edge, sovereign, and cross-cloud infrastructure and services. See how leaders are achieving real business outcomes faster and more cost-effectively in industries like retail, healthcare, and even the most stringent regulated industries. Plus, see how Gemini is dramatically simplifying and reimagining cloud as we know it.

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Google Cloud Vertex AI is rolling out multiple updates to make AI accessible for every enterprise. Up to 85% lower input costs and 80% lower output costs, and 100 new languages coming to Gemini 1.5. #GoogleCloud #VertexAI #Gemini

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Amazon RDS Multi-AZ deployment with two readable standbys supports 6 additional AWS Regions Three-node Multi-AZ DB Cluster is now available in Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich), Middle East (UAE), and Israel (Tel Aviv) Regions. This deployment option supports minor version upgrades and system maintenance updates with typically less than one second of downtime when using Amazon RDS Proxy or any one of the open-source AWS Advanced JDBC Driver, PgBouncer, or ProxySQL. https://lnkd.in/g9D9RGVB #Amazon #RDS #PostgreSQL #MySQL

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We’re excited to announce vector search on both the new Memorystore for Valkey and Memorystore for Redis Cluster, combining 1) ultra-low latency in-memory vector search, with 2) zero-downtime scalability (in or out), and 3) powerful high performance vector search across millions or billions of vectors. #databases #valkey #redis Google Cloud

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