Tag: cross
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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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The Register: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100
Source URL: https://www.theregister.com/2024/11/13/nvidia_b200_performance/ Source: The Register Title: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100 Feedly Summary: Is Huang leaving even more juice on the table by opting for mid-tier Blackwell part? Signs point to yes Analysis Nvidia offered the first look at how its upcoming Blackwell accelerators stack up…
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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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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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CSA: The New NIST Password Guidelines & Cloud Security
Source URL: https://cloudsecurityalliance.org/articles/what-do-the-new-nist-password-guidelines-mean-for-cloud-security Source: CSA Title: The New NIST Password Guidelines & Cloud Security Feedly Summary: AI Summary and Description: Yes Summary: The text provides an insightful overview of the evolution and modern challenges of password security, particularly in the context of cloud computing. The updates from NIST suggest a significant shift in password policy,…
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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…
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The Register: AI’s power trip will leave energy grids begging for mercy by 2027
Source URL: https://www.theregister.com/2024/11/13/datacenter_energy_consumption/ Source: The Register Title: AI’s power trip will leave energy grids begging for mercy by 2027 Feedly Summary: Datacenter demand estimated to inflate by 160% over next two years AI-driven datacenter energy demand could expand 160 percent over the next two years, leaving 40 percent of existing facilities operationally constrained by power…