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AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.
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This is a classic migration case study (the past, current and the future) at scale from a world-wide company transitioning from Confluent Platform and Confluent Cloud to self-managed Apache Kafka on Kubernetes using Strimzi. At Maersk, we have been architecting, designing and implementing our 3rd generation Event Streaming Platform. This platform is based on Kubernetes in Azure and using Strimzi to operate Apache Kafka at large scale, highly reliable, segregating data based on isolated use cases. Our 2nd generation was based on OnPrem Confluent Platform and Confluent Cloud and this presentation is the story of this migration and reasoning behind it. Furthermore, we would get into details on how we monitor (Grafana, Prometheus), alert (GoAlert and alert as code), operate and provide self-service solutions on top of Strimzi to enable business critical application in Maersk, implemented in GoLang using the GitOps deployment model with Flux and Kustomization among others. Finally, if time allows we will end with a demo of an open-source self service tool to monitor and explore the cluster with most wanted features such as topic message browsing and configuring and restarting connectors.
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Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
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In today's booming mobile app market, finding the right app development company is crucial. This presentation dives into the top mobile app development companies of 2024, highlighting their expertise, key features, and the advantages of partnering with industry leaders to bring your app vision to life. https://www.linkedin.com/pulse/top-app-development-companies-2024-elsa-martin-8gadf/
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Shirley Bacso, Data Architect, Ingka Digital “Linked Metadata by Design” represents the integration of the outcomes from human collaboration, starting from the design phase of data product development. This knowledge is captured in the Data Knowledge Graph. It not only enables data products to be robust and compliant but also well-understood and effectively utilized.
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Top Mobile App Development Companies 2024
Top Mobile App Development Companies 2024
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