Tag: batch size
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Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…
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MCP Server Cloud – The Model Context Protocol Server Directory: Amazon Bedrock MCP Server – MCP Server Integration
Source URL: https://mcpserver.cloud/server/amazon-bedrock-mcp-server Source: MCP Server Cloud – The Model Context Protocol Server Directory Title: Amazon Bedrock MCP Server – MCP Server Integration Feedly Summary: AI Summary and Description: Yes Summary: The text describes the Amazon Bedrock MCP server, which leverages the Nova Canvas model for AI image generation. The server allows for advanced control…
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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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The Register: The troublesome economics of CPU-only AI
Source URL: https://www.theregister.com/2024/10/29/cpu_gen_ai_gpu/ Source: The Register Title: The troublesome economics of CPU-only AI Feedly Summary: At the end of the day, it all boils down to tokens per dollar Analysis Today, most GenAI models are trained and run on GPUs or some other specialized accelerator, but that doesn’t mean they have to be. In fact,…
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Cloud Blog: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/tuning-the-gke-hpa-to-run-inference-on-gpus/ Source: Cloud Blog Title: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads Feedly Summary: While LLM models deliver immense value for an increasing number of use cases, running LLM inference workloads can be costly. If you’re taking advantage of the latest open models and infrastructure, autoscaling can help you optimize…