Tag: latency
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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: 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…
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Hacker News: Cash App migrated 400TB of data to PlanetScale’s cloud
Source URL: https://planetscale.com/case-studies/cash-app Source: Hacker News Title: Cash App migrated 400TB of data to PlanetScale’s cloud Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed overview of Cash App’s migration from self-hosted Vitess clusters to PlanetScale’s managed database solution. This transition enhanced operational efficiency, performance, and compliance while addressing the…
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Hacker News: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP
Source URL: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop Source: Hacker News Title: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text explores the limitations and challenges of scaling large language models (LLMs) in distributed training environments. It highlights critical technological constraints related to data movement both…
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Hacker News: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup
Source URL: https://hanlab.mit.edu/blog/svdquant Source: Hacker News Title: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text discusses the innovative SVDQuant paradigm for post-training quantization of diffusion models, which enhances computational efficiency by quantizing both weights and activations to…
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Cloud Blog: Now run your custom code at the edge with the Application Load Balancers
Source URL: https://cloud.google.com/blog/products/networking/service-extensions-plugins-for-application-load-balancers/ Source: Cloud Blog Title: Now run your custom code at the edge with the Application Load Balancers Feedly Summary: Application Load Balancers are essential for reliable web application delivery on Google Cloud. But while Google Cloud’s load balancers offer extensive customization, some situations demand even greater programmability. We recently announced Service Extensions…
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The Register: Broadcom juices VeloCloud SD-WAN for AI networking
Source URL: https://www.theregister.com/2024/11/05/vmware_velocloud_ai_rain/ Source: The Register Title: Broadcom juices VeloCloud SD-WAN for AI networking Feedly Summary: VeloRAIN architecture improves service for fat workloads on the edge VMware Explore Amid all the drama regarding Broadcom’s acquisition of VMware, it’s been easy to forget that the virtualization giant’s SD-WAN outfit, VeloCloud, is now an independent business unit.…