Tag: throughput
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Cloud Blog: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-handle-429-resource-exhaustion-errors-in-your-llms/ Source: Cloud Blog Title: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors Feedly Summary: Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to…
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Hacker News: Batched reward model inference and Best-of-N sampling
Source URL: https://raw.sh/posts/easy_reward_model_inference Source: Hacker News Title: Batched reward model inference and Best-of-N sampling Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in reinforcement learning (RL) models applied to large language models (LLMs), focusing particularly on reward models utilized in techniques like Reinforcement Learning with Human Feedback (RLHF) and dynamic…
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Cloud Blog: New Cassandra to Spanner adapter simplifies Yahoo’s migration journey
Source URL: https://cloud.google.com/blog/products/databases/new-proxy-adapter-eases-cassandra-to-spanner-migration/ Source: Cloud Blog Title: New Cassandra to Spanner adapter simplifies Yahoo’s migration journey Feedly Summary: Cassandra, a key-value NoSQL database, is prized for its speed and scalability, and used broadly for applications that require rapid data retrieval and storage such as caching, session management, and real-time analytics. Its simple key-value pair structure…
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Hacker News: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization
Source URL: https://rccchoudhury.github.io/rlt/ Source: Hacker News Title: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach called Run-Length Tokenization (RLT) aimed at optimizing video transformers by eliminating redundant tokens. This content-aware method results in substantial speed improvements for training and…
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Cloud Blog: Data loading best practices for AI/ML inference on GKE
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…
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Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis
Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…
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AWS News Blog: Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters
Source URL: https://aws.amazon.com/blogs/aws/introducing-express-brokers-for-amazon-msk-to-deliver-high-throughput-and-faster-scaling-for-your-kafka-clusters/ Source: AWS News Blog Title: Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters Feedly Summary: With 3x throughput, 20x faster scaling, and 90% reduced recovery time, Express brokers deliver unmatched performance for Apache Kafka on AWS, streamlining operations while cutting infrastructure costs by…