Experimental News Clipping Site

Tag: triton

  • Cloud Blog: Start and scale your apps faster with improved container image streaming in GKE

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improving-gke-container-image-streaming-for-faster-app-startup/ Source: Cloud Blog Title: Start and scale your apps faster with improved container image streaming in GKE Feedly Summary: In today’s fast-paced cloud-native world, the speed at which your applications can start and scale is paramount. Faster pod startup times mean quicker responses to user demand, more efficient resource utilization, and a…

  • The Register: Chained bugs in Nvidia’s Triton Inference Server lead to full system compromise

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/05/nvidia_triton_bug_chain/ Source: The Register Title: Chained bugs in Nvidia’s Triton Inference Server lead to full system compromise Feedly Summary: Wiz Research details flaws in Python backend that expose AI models and enable remote code execution Security researchers have lifted the lid on a chain of high-severity vulnerabilities that could lead to remote code…

  • Hacker News: Aiter: AI Tensor Engine for ROCm

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    Kurt Seifried
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    Source URL: https://rocm.blogs.amd.com/software-tools-optimization/aiter:-ai-tensor-engine-for-rocm™/README.html Source: Hacker News Title: Aiter: AI Tensor Engine for ROCm Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AMD’s AI Tensor Engine for ROCm (AITER), emphasizing its capabilities in enhancing performance across various AI workloads. It highlights the ease of integration with existing frameworks and the significant performance…

  • Cloud Blog: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-hypercomputer-4-use-cases-tutorials-and-guides/ Source: Cloud Blog Title: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials Feedly Summary: AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and…

  • Simon Willison’s Weblog: The impact of competition and DeepSeek on Nvidia

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/27/deepseek-nvidia/ Source: Simon Willison’s Weblog Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: The impact of competition and DeepSeek on Nvidia Long, excellent piece by Jeffrey Emanuel capturing the current state of the AI/LLM industry. The original title is “The Short Case for Nvidia Stock" – I’m using the Hacker…

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

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    system automation
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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: LummaC2: Obfuscation Through Indirect Control Flow

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    system automation
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/lummac2-obfuscation-through-indirect-control-flow/ Source: Cloud Blog Title: LummaC2: Obfuscation Through Indirect Control Flow Feedly Summary: Written by: Nino Isakovic, Chuong Dong Overview This blog post delves into the analysis of a control flow obfuscation technique employed by recent LummaC2 (LUMMAC.V2) stealer samples. In addition to the traditional control flow flattening technique used in older versions, the…

  • Hacker News: Liger-kernel: Efficient triton kernels for LLM training

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    system automation
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    Source URL: https://github.com/linkedin/Liger-Kernel Source: Hacker News Title: Liger-kernel: Efficient triton kernels for LLM training Feedly Summary: Comments AI Summary and Description: Yes Summary: The Liger Kernel is a specialized Triton kernel collection aimed at enhancing LLM (Large Language Model) training efficiency by significantly improving throughput and reducing memory usage. It is particularly relevant for AI…