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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning Blog

Import the model Complete the following steps to import the model: On the Amazon Bedrock console, choose Imported models under Foundation models in the navigation pane. Importing the model will take several minutes depending on the model being imported (for example, the Distill-Llama-8B model could take 520 minutes to complete).

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Improved CPU throttling measurement

IBM Journey to AI blog

This repeats four times for a 200ms task (like the one shown below) and finally gets completed in the fifth period without being throttled. In the fifth period, the request is completed, so it is no longer throttled. It will then be completed in the fifth period. There it is a single-threaded container app with a CPU limit of 0.4

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NVIDIA to Reveal New AI Innovations at CES 2024

NVIDIA

Consumer: AI, gaming and NVIDIA Studio announcements and demos with partners including Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, MSI, Razer, Samsung, Zotac and more. Auto: Showcasing partnerships with leaders including Mercedes-Benz, Hyundai, Kia, Polestar, Luminar and Zoox. Orbbec, QT Company, Unitree Robotics and Voyant Photonics.

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Top 20 most-asked questions about Amazon RDS for Db2 answered

IBM Journey to AI blog

AWS ran a live demo to show how to get started in just a few clicks. What solutions does Amazon RDS for Db2 provide for auto failovers, such as Db2 HADR? The time it takes for the failover to complete depends on the database activity and other conditions when the primary DB instance became unavailable.

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MetaGPT: Complete Guide to the Best AI Agent Available Right Now

Unite.AI

Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. link] MetaGPT Demo Run MetaGPT provided a system design document in Markdown—a commonly used lightweight markup language. Below is a video that showcases the actual run of the generated game code.

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Modernizing child support enforcement with IBM and AWS

IBM Journey to AI blog

With its proven tools and processes, AIMM meets clients where they are in the legacy modernization journey, analyzing (auto-scan) legacy code, extracting business rules, converting it to modern language, deploying it to any cloud, and managing technology for transformational business outcomes.

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Cloud scalability: Scale-up vs. scale-out

IBM Journey to AI blog

This means a group of software products can be created and deployed as independent pieces, even though they work together to manage a complete workflow. A good example is AWS auto-scaling. Learn more about IBM Turbonomic and request a demo today. The post Cloud scalability: Scale-up vs. scale-out appeared first on IBM Blog.