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Tag: accelerator

  • The Register: Who’s afraid of DeepSeek’s impact on AI hardware sales? Not AMD CEO Lisa Su

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/05/amd_q4_fy2024/ Source: The Register Title: Who’s afraid of DeepSeek’s impact on AI hardware sales? Not AMD CEO Lisa Su Feedly Summary: Predicts more efficient ML architectures will drive adoption, see Instinct sales accelerate, shares dive AMD’s chief exec Lisa Su has predicted the chip designer’s Instinct accelerators will drive tens of billions of…

  • Slashdot: Air Force Documents On Gen AI Test Are Just Whole Pages of Redactions

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/02/03/2018259/air-force-documents-on-gen-ai-test-are-just-whole-pages-of-redactions?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Air Force Documents On Gen AI Test Are Just Whole Pages of Redactions Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Air Force Research Laboratory’s (AFRL) funding of generative AI services through a contract with Ask Sage. It highlights concerns over transparency due to extensive…

  • The Register: Intel has officially missed the boat for AI in the datacenter

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/01/intel_ai_datacenter/ Source: The Register Title: Intel has officially missed the boat for AI in the datacenter Feedly Summary: But it still has a chance at the edge and the PC Comment Any hope Intel may have had of challenging rivals Nvidia and AMD for a slice of the AI accelerator market dissolved on…

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…

  • Cloud Blog: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/introducing-a4-vms-powered-by-nvidia-b200-gpu-aka-blackwell/ Source: Cloud Blog Title: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview Feedly Summary: Modern AI workloads require powerful accelerators and high-speed interconnects to run sophisticated model architectures on an ever-growing diverse range of model sizes and modalities. In addition to large-scale training, these complex models…

  • Hacker News: Using AI for Coding: My Journey with Cline and Large Language Models

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    Kurt Seifried
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    Source URL: https://pgaleone.eu/ai/coding/2025/01/26/using-ai-for-coding-my-experience/ Source: Hacker News Title: Using AI for Coding: My Journey with Cline and Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the author’s experience in utilizing AI tools, specifically LLMs, for enhancing the design and development processes of a SaaS platform. It emphasizes the transformative…

  • Cloud Blog: Privacy-preserving Confidential Computing now on even more machines and services

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/privacy-preserving-confidential-computing-now-on-even-more-machines/ Source: Cloud Blog Title: Privacy-preserving Confidential Computing now on even more machines and services Feedly Summary: Organizations are increasingly using Confidential Computing to help protect their sensitive data in use as part of their data protection efforts. Today, we are excited to highlight new Confidential Computing capabilities that make it easier for…

  • The Register: What happens when we can’t just build bigger AI datacenters anymore?

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/24/build_bigger_ai_datacenters/ Source: The Register Title: What happens when we can’t just build bigger AI datacenters anymore? Feedly Summary: We stitch together enormous supercomputers from other smaller supercomputers of course Feature Generative AI models have not only exploded in popularity over the past two years, but they’ve also grown at a precipitous rate, necessitating…

  • Cloud Blog: Announcing smaller machine types for A3 High VMs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/announcing-smaller-machine-types-for-a3-high-vms/ Source: Cloud Blog Title: Announcing smaller machine types for A3 High VMs Feedly Summary: Today, an increasing number of organizations are using GPUs to run inference1 on their AI/ML models. Since the number of GPUs needed to serve a single inference workload varies, organizations need more granularity in the number of GPUs…

  • Cloud Blog: How L’Oréal Tech Accelerator built its end-to-end MLOps platform

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-loreals-tech-accelerator-built-its-end-to-end-mlops-platform/ Source: Cloud Blog Title: How L’Oréal Tech Accelerator built its end-to-end MLOps platform Feedly Summary: Technology has transformed our lives and social interactions at an unprecedented speed and scale, creating new opportunities. To adapt to this reality, L’Oréal has established itself as a leader in Beauty Tech, promoting personalized, inclusive, and responsible…