Dmitry Balin

Amazon Web Services (AWS) rolled out v1.0 of cost data export compliant with FinOps Foundation FOCUS specifications. zOpt.ai is a contributor to #FinOps #FOCUS specifications and I am glad to see the progress and adoption of the standard specifications by all the major cloud providers. This is a major step in understanding cloud spend across cloud providers in uniform manner.

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Gemini in BigQuery changes the game for data engineers and analysts! More productivity ✔️ Improved query performance ✔️ Optimized costs throughout the analytics lifecycle—from ingestion and pipeline creation to deriving insights with AI ✔️ #GoogleCloudNext

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Worth reading: How the Apache Arrow Format Accelerates Query Result Transfer by Ian Cook One of the hidden problems of intersystem communication is transcription of data formats. Ian does a wonderful job of explaining the "why" of Apache Arrow as well as the "how" of its advantages. Read on...

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"We just signed an agreement with Meta – for them to use Oracle's AI Cloud Infrastructure – and collaborate with Oracle on the development of AI Agents based on Meta's Llama models," CTO Larry Ellison https://lnkd.in/gMbPy8eK

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➰ APIContext's latest insights on cloud-based API performance have been featured on Nordic APIs! In the 2024 report, we delve into crucial aspects affecting API efficiency: 🔐 Authentication is key. Ensuring robust authentication mechanisms in APIs is crucial, yet offloading this function can introduce complex challenges. 📖 DNS configurations matter. How you handle DNS settings can significantly impact API performance, particularly when tied to authentication processes. 🌐 The role of third parties. Critical third-party services play a significant role in 🔗 API transactions, underscoring the need for careful integration and monitoring. ⛅ Not all clouds are created equal. Differences in cloud services can drastically affect API performance, an essential consideration as APIs account for over 80% of all internet traffic. #APIs #CloudComputing #TechInsights #APIContext

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OCI's Mahesh Thiagarajan recently met with ZDNet Japan to discuss our AI infrastructure strategy including the massively scalable OCI Supercluster. Read on, to find out why the world's leading companies and LLM providers are flocking to OCI for their most demanding AI workloads. Mahesh Thiagarajan #OCI #AI https://lnkd.in/gnPWnQbf

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🚀 Want to run your very own trained LLM, privately and securely? 🤖🔒 Imagine harnessing the power of a Language Model tailored just for you without worrying about third-party servers! 💼✨ Try, LM Studio. Jest for few click . LLM running in your PC. With LM Studio, you can ... 🤖 • Run LLMs on your laptop, entirely offline 📚 • Chat with your local documents (new in 0.3) 👾 • Use models through the in-app Chat UI or an OpenAI compatible local server 📂 • Download any compatible model files from Hugging Face 🤗 repositories 🔭 • Discover new & noteworthy LLMs right inside the app's Discover page #LLM #private #chatgpt #AI

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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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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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BigQuery now allows you to generate embeddings and execute powerful vector search at scale, enabling #RAG workflows within BigQuery. By leveraging LangChain a framework designed for developing applications with #LLMs, you can seamlessly build RAG applications tailor-made for your #business needs. In this blog, we’ll provide a practical guide to implement #RAG using #BigQuery and LangChain and provide you with a framework to get started with your own #data

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Sensitive data, strict regulations, and low-latency needs can pose challenges when leveraging the full potential of the cloud. However, there's a solution! Enter Google Distributed Cloud (GDC), offering the capability to utilize generative AI on-premises for quicker, more secure, and insightful data exploration. 🧠✨ ✅ Presenting GDC’s Gen AI Search Solution, powered by NVIDIA H100 GPUs and the Gemma 2 LLM. This technology enables conversational, multimodal, and multilingual search functionalities. ✅ Benefit from secure, air-gapped deployments ensuring complete data sovereignty and compliance. ✅ Experience heightened productivity through the retrieval-augmented generation (RAG) architecture, delivering precise results. Curious about how GDC can revolutionize your organization? Discover the potential of AI-optimized servers and tailored solutions to meet your specific requirements. Learn more: https://lnkd.in/g9rwnxsn #GoogleCloud #AI #HybridCloud #DataSovereignty #GenerativeAI #Innovation

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We've got some exciting announcements today with Anthropic 🎉 Take a look: 📣 Claude 3 Opus, Anthropic’s most intelligent model, is now generally available on Vertex AI. ⚙️ Tool use is available for the Claude 3 model family on Vertex AI, enabling Claude to act as an autonomous agent to handle tasks requiring real-time data or complex computations. 📈 Provisioned throughput is available for the Claude 3 model family on Vertex AI to get assured performance and predictable costs for your production workloads. Learn how to get started → https://goo.gle/4aHWL7U

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.@Intuit's Enterprise Suite could upend midmarket ERP https://buff.ly/4eyj822 One of Intuit's big bets for the years ahead is to disrupt the mid-market ERP market w its Intuit Enterprise Suite as it aims to fill a gap between QuickBooks Online Advanced & ERP implementations

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Google Cloud 's #Gemini family of #LLMs ➡️ Gemini for Google Cloud: A new generation of AI assistants for developers, Google Cloud services, and applications → https://goo.gle/3vNf8db ➡️ Gemini Code Assist: The evolution of the Duet AI for Developers → https://goo.gle/3Q5Wxjg ➡️ Gemini Cloud Assist: Helps cloud teams design, operate, and optimize their application lifecycle → https://goo.gle/3Ul2ITb ➡️ Gemini in Security Operations: Converts natural language to new detections, summarizes event data, recommends actions to take, and navigates users through the platform via conversational chat—generally available at the end of this month → https://goo.gle/3Q9kuGp ➡️ Gemini in BigQuery (in preview): Enables data analysts to be more productive, improve query performance, and optimize costs throughout the analytics lifecycle → https://goo.gle/3Ujwl7g ➡️ Gemini in Looker (in private preview): Provides a dedicated space in Looker to initiate a chat on any topic with your data and derive insights quickly → https://goo.gle/3UoPPrn ➡️ Gemini in Databases (in preview): Helps developers, operators, and database administrators build applications faster using natural language; manage, optimize, and govern an entire fleet of databases from a single pane of glass; and accelerate database migrations → https://goo.gle/3VWPmhc

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AI agents are revolutionizing the landscape of gen AI application development. LlamaIndex has emerged as a leading framework for building knowledge-driven and agentic systems. Today, we're excited to announce a collaboration with LlamaIndex on open-source integrations for Google Cloud databases including AlloyDB for PostgreSQL and Cloud SQL for PostgreSQL.

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Coming to AWS re:Invent this year? I heard there's an amazing presentation covering how to use multiple agents to scale your Gen AI application! Provided to you by Mark Roy, Mike Liu, and of course... me!

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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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