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

AWS Machine Learning - AI

Additionally, SageMaker endpoints support automatic load balancing and autoscaling, enabling your LLM deployment to scale dynamically based on incoming requests. GenAI Data Scientist at AWS. With a background in AI/ML consulting at AWS, he helps organizations leverage the Hugging Face ecosystem on their platform of choice.

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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

Reduced operational overhead – The EMR Serverless integration with AWS streamlines big data processing by managing the underlying infrastructure, freeing up your team’s time and resources. Runtime roles are AWS Identity and Access Management (IAM) roles that you can specify when submitting a job or query to an EMR Serverless application.

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Netflix at AWS re:Invent 2018

Netflix Tech

by Shaun Blackburn AWS re:Invent is back in Las Vegas this week! Many Netflix engineers and leaders will be among the 40,000 attending the conference to connect with fellow cloud and OSS enthusiasts. In this session, we cover its design and how it delivers push notifications globally across AWS Regions. 11:30am NET204?

AWS 45
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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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How Cisco accelerated the use of generative AI with Amazon SageMaker Inference

AWS Machine Learning - AI

Webex works with the world’s leading business and productivity apps—including AWS. The following diagram illustrates the WxAI architecture on AWS. Its solutions are underpinned with security and privacy by design. This led to enhanced generative AI workflows, optimized latency, and personalized use case implementations.

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Build ultra-low latency multimodal generative AI applications using sticky session routing in Amazon

AWS Machine Learning - AI

This feature is available in all AWS Regions where SageMaker is available. SageMaker has implemented a robust solution that combines two key strategies: sticky session routing in SageMaker with load balancing, and stateful sessions in TorchServe. Sessions can also be deleted when done to free up resources for new sessions.

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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.