Tag: AI workloads
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Hacker News: Broadcom has won. 70 percent of large VMware customers bought its biggest bundle
Source URL: https://www.theregister.com/2025/03/07/broadcom_q1_fy2025/ Source: Hacker News Title: Broadcom has won. 70 percent of large VMware customers bought its biggest bundle Feedly Summary: Comments AI Summary and Description: Yes Summary: Broadcom’s acquisition of VMware has led to impressive financial results, with a significant increase in revenue attributed to the bundling of VMware products into its Cloud…
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Cloud Blog: Introducing built-in performance monitoring for Vertex AI Model Garden
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/performance-monitoring-and-alerts-for-gen-ai-models-on-vertex-ai/ Source: Cloud Blog Title: Introducing built-in performance monitoring for Vertex AI Model Garden Feedly Summary: Today, we’re announcing built-in performance monitoring and alerts for Gemini and other managed foundation models – right from Vertex AI’s homepage. Monitoring the performance of generative AI models is crucial when building lightning-fast, reliable, and scalable applications.…
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Hacker News: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon
Source URL: https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md Source: Hacker News Title: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive guide on using the llama.cpp portable zip to run AI models on Intel GPUs with IPEX-LLM, detailing setup requirements and configuration steps.…
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Hacker News: Go-attention: A full attention mechanism and transformer in pure Go
Source URL: https://github.com/takara-ai/go-attention Source: Hacker News Title: Go-attention: A full attention mechanism and transformer in pure Go Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a pure Go implementation of attention mechanisms and transformer layers by takara.ai. This implementation emphasizes high performance and usability, making it valuable for applications in AI,…
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Cloud Blog: How to calculate your AI costs on Google Cloud
Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…
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Slashdot: AMD Reveals RDNA 4 GPU Architecture Powering Next Gen Radeon RX 9070 Cards
Source URL: https://slashdot.org/story/25/03/01/209255/amd-reveals-rdna-4-gpu-architecture-powering-next-gen-radeon-rx-9070-cards?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AMD Reveals RDNA 4 GPU Architecture Powering Next Gen Radeon RX 9070 Cards Feedly Summary: AI Summary and Description: Yes Summary: AMD has unveiled its RDNA 4 graphics architecture, significantly boosting efficiency and performance for ray-traced gaming and AI workloads. With enhanced ray tracing capabilities and dedicated hardware for…
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Hacker News: Fire-Flyer File System from DeepSeek
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…