Tag: workloads

Source URL: https://slashdot.org/story/24/11/14/0726238/amd-to-lay-off-4-of-workforce-or-about-1000-employees?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AMD To Lay Off 4% of Workforce, or About 1,000 Employees Feedly Summary: AI Summary and Description: Yes Summary: AMD’s recent announcement to cut 4% of its global workforce highlights its strategic pivot to compete in the AI chip market, which is currently led by Nvidia. This move underscores…

Cloud Blog: Data loading best practices for AI/ML inference on GKE

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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…

Cloud Blog: Empower your teams with self-service Kubernetes using GKE fleets and Argo CD

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Source URL: https://cloud.google.com/blog/products/containers-kubernetes/empower-your-teams-with-self-service-kubernetes-using-gke-fleets-and-argo-cd/ Source: Cloud Blog Title: Empower your teams with self-service Kubernetes using GKE fleets and Argo CD Feedly Summary: Managing applications across multiple Kubernetes clusters is complex, especially when those clusters span different environments or even cloud providers. One powerful and secure solution combines Google Kubernetes Engine (GKE) fleets and, Argo CD, a…

The Register: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100

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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…

Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models

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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…

Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis

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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…

The Register: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet

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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…

The Register: AI’s power trip will leave energy grids begging for mercy by 2027

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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…

CSA: What is Cloud Workload in Cloud Computing?

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