Tag: resource management
-
Simon Willison’s Weblog: LLM 0.18
Source URL: https://simonwillison.net/2024/Nov/17/llm-018/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.18 Feedly Summary: LLM 0.18 New release of LLM. The big new feature is asynchronous model support – you can now use supported models in async Python code like this: import llm model = llm.get_async_model(“gpt-4o") async for chunk in model.prompt( "Five surprising names for a pet…
-
Cloud Blog: Dataproc Serverless: Now faster, easier and smarter
Source URL: https://cloud.google.com/blog/products/data-analytics/dataproc-serverless-performance-and-usability-updates/ Source: Cloud Blog Title: Dataproc Serverless: Now faster, easier and smarter Feedly Summary: We are thrilled to announce new capabilities that make running Dataproc Serverless even faster, easier, and more intelligent. Elevate your Spark experience with: Native query execution: Experience significant performance gains with the new Native query execution in the Premium…
-
Hacker News: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60%
Source URL: https://blog.allegro.tech/2024/06/cost-optimization-data-pipeline-gcp.html Source: Hacker News Title: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60% Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses methods for optimizing Google Cloud Platform (GCP) Dataflow pipelines with a focus on cost reductions through effective resource management and configuration enhancements. This…
-
Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…
-
Docker: Learn How to Optimize Docker Hub Costs With Our Usage Dashboards
Source URL: https://www.docker.com/blog/hubdashboards/ Source: Docker Title: Learn How to Optimize Docker Hub Costs With Our Usage Dashboards Feedly Summary: Customers can now manage their resource usage effectively by tracking their consumption with new metering tools. By gaining a clearer understanding of their usage, customers can identify patterns and trends, helping them maximize the value of…
-
The Register: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet
Source URL: https://www.theregister.com/2024/11/13/hpe_cray_ex/ Source: The Register Title: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet Feedly Summary: Meanwhile, HPE’s new ProLiant servers offer choice of Gaudi, Hopper, or Instinct acceleration If you thought Nvidia’s 120 kW NVL72 racks were compute dense with 72 Blackwell accelerators, they have nothing on HPE…
-
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…