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Tag: inference workloads

  • Cloud Blog: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-inference-updates-for-google-cloud-tpu-and-gpu/ Source: Cloud Blog Title: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Feedly Summary: From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications…

  • Cloud Blog: New GKE inference capabilities reduce costs, tail latency and increase throughput

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/understanding-new-gke-inference-capabilities/ Source: Cloud Blog Title: New GKE inference capabilities reduce costs, tail latency and increase throughput Feedly Summary: When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run…

  • Cloud Blog: Introducing Ironwood TPUs and new innovations in AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/whats-new-with-ai-hypercomputer/ Source: Cloud Blog Title: Introducing Ironwood TPUs and new innovations in AI Hypercomputer Feedly Summary: Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware…

  • Cloud Blog: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/google-bytedance-and-red-hat-improve-ai-on-kubernetes/ Source: Cloud Blog Title: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware Feedly Summary: Over the past ten years, Kubernetes has become the leading platform for deploying cloud-native applications and microservices, backed by an extensive community and boasting a comprehensive feature set for managing distributed systems. Today, we are…

  • Cloud Blog: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/multi-cluster-orchestrator-for-cross-region-kubernetes-workloads/ Source: Cloud Blog Title: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions Feedly Summary: Today, we’re excited to announce the public preview of Multi-Cluster Orchestrator, a new service designed to streamline and simplify the management of workloads across Kubernetes clusters. Multi-Cluster Orchestrator lets platform and application teams optimize resource utilization, enhance…

  • Cloud Blog: An inside look into Google’s AI innovations: AI Luminaries at Cloud Next

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/register-for-ai-luminaries-at-google-cloud-next/ Source: Cloud Blog Title: An inside look into Google’s AI innovations: AI Luminaries at Cloud Next Feedly Summary: Today, I’m pleased to announce the launch of AI Luminaries programming at the upcoming Google Cloud Next conference. This is a unique forum where some of the top researchers, scientists, and technology leaders in…

  • The Register: Nvidia won the AI training race, but inference is still anyone’s game

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/12/training_inference_shift/ Source: The Register Title: Nvidia won the AI training race, but inference is still anyone’s game Feedly Summary: When it’s all abstracted by an API endpoint, do you even care what’s behind the curtain? Comment With the exception of custom cloud silicon, like Google’s TPUs or Amazon’s Trainium ASICs, the vast majority…

  • Cloud Blog: How to deploy serverless AI with Gemma 3 on Cloud Run

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/serverless-ai-with-gemma-3-on-cloud-run/ Source: Cloud Blog Title: How to deploy serverless AI with Gemma 3 on Cloud Run Feedly Summary: Today, we introduced Gemma 3, a family of lightweight, open models built with the cutting-edge technology behind Gemini 2.0. The Gemma 3 family of models have been designed for speed and portability, empowering developers to…

  • Hacker News: Fire-Flyer File System from DeepSeek

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    Kurt Seifried
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    Source URL: https://github.com/deepseek-ai/3FS Source: Hacker News Title: Fire-Flyer File System from DeepSeek Feedly Summary: Comments AI Summary and Description: Yes Summary: The Fire-Flyer File System (3FS) is a distributed file system designed to optimize AI training and inference workloads by harnessing modern hardware capabilities. The text discusses its performance, a benchmarking approach using the GraySort…