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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

Amazon SageMaker AI provides a managed way to deploy TGI-optimized models, offering deep integration with Hugging Faces inference stack for scalable and cost-efficient LLM deployment. He has over 20 years of experience as a full stack software engineer, and has spent the past 5 years at AWS focused on the field of machine learning.

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Netflix OSS and Spring Boot?—?Coming Full Circle

Netflix Tech

Much of Netflix’s backend and mid-tier applications are built using Java, and as part of this effort Netflix engineering built several cloud infrastructure libraries and systems?—? Ribbon for load balancing, Eureka for service discovery, and Hystrix for fault tolerance. such as the upcoming Spring Cloud Load Balancer?—?we

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Scalability and performance – The EMR Serverless integration automatically scales the compute resources up or down based on your workload’s demands, making sure you always have the necessary processing power to handle your big data tasks. By unlocking the potential of your data, this powerful integration drives tangible business results.

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Curbing Connection Churn in Zuul

Netflix Tech

We had discussed subsetting many times over the years, but there was concern about disrupting load balancing with the algorithms available. The quirk in any load balancing algorithm from Google is that they do their load balancing centrally. There is effectively no churn of connections, even at peak traffic.

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Kubernetes: A simple overview

O'Reilly Media - Ideas

Kubernetes allows DevOps teams to automate container provisioning, networking, load balancing, security, and scaling across a cluster, says Sébastien Goasguen in his Kubernetes Fundamentals training course. You’ll learn how to use tools and APIs to automate scalable distributed systems. Efficiency.

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How Cisco accelerated the use of generative AI with Amazon SageMaker Inference

AWS Machine Learning - AI

To optimize its AI/ML infrastructure, Cisco migrated its LLMs to Amazon SageMaker Inference , improving speed, scalability, and price-performance. However, as the models grew larger and more complex, this approach faced significant scalability and resource utilization challenges.

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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

Most scenarios require a reliable, scalable, and secure end-to-end integration that enables bidirectional communication and data processing in real time. In the same way, industrial protocols are a book with seven seals for software engineers. Most MQTT brokers don’t support high scalability.

IoT 20