Tag: NVIDIA GPUs

  • The Register: AI frenzy continues as Macquarie commits up to $5B for Applied Digital datacenters

    Source URL: https://www.theregister.com/2025/01/15/ai_macquarie_applied_digital/ Source: The Register Title: AI frenzy continues as Macquarie commits up to $5B for Applied Digital datacenters Feedly Summary: Bubble? What bubble? Fears of an AI bubble have yet to scare off venture capitalists and private equity firms from pumping billions of dollars into the GPU-packed datacenters at the heart of the…

  • Cloud Blog: The Year in Google Cloud – 2024

    Source URL: https://cloud.google.com/blog/products/gcp/top-google-cloud-blogs/ Source: Cloud Blog Title: The Year in Google Cloud – 2024 Feedly Summary: If you’re a regular reader of this blog, you know that 2024 was a busy year for Google Cloud. From AI to Zero Trust, and everything in between, here’s a chronological recap of our top blogs of 2024, according…

  • Hacker News: Apple collaborates with Nvidia to research faster LLM performance

    Source URL: https://9to5mac.com/2024/12/18/apple-collaborates-with-nvidia-to-research-faster-llm-performance/ Source: Hacker News Title: Apple collaborates with Nvidia to research faster LLM performance Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has announced a collaboration with NVIDIA to enhance the performance of large language models (LLMs) through a new technique called Recurrent Drafter (ReDrafter). This approach significantly accelerates text generation,…

  • Hacker News: What happens if we remove 50 percent of Llama?

    Source URL: https://neuralmagic.com/blog/24-sparse-llama-smaller-models-for-efficient-gpu-inference/ Source: Hacker News Title: What happens if we remove 50 percent of Llama? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document introduces Sparse Llama 3.1, a foundational model designed to improve efficiency in large language models (LLMs) through innovative sparsity and quantization techniques. The model offers significant benefits in…

  • Cloud Blog: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-deploy-llama-3-2-1b-instruct-model-with-google-cloud-run/ Source: Cloud Blog Title: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU Feedly Summary: As open-source large language models (LLMs) become increasingly popular, developers are looking for better ways to access new models and deploy them on Cloud Run GPU. That’s why Cloud Run now offers fully managed NVIDIA…

  • Cloud Blog: How to deploy and serve multi-host gen AI large open models over GKE

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploy-and-serve-open-models-over-google-kubernetes-engine/ Source: Cloud Blog Title: How to deploy and serve multi-host gen AI large open models over GKE Feedly Summary: Context As generative AI experiences explosive growth fueled by advancements in LLMs (Large Language Models), access to open models is more critical than ever for developers. Open models are publicly available pre-trained foundational…

  • Hacker News: Dstack: An alternative to K8 for AI/ML tasks

    Source URL: https://github.com/dstackai/dstack Source: Hacker News Title: Dstack: An alternative to K8 for AI/ML tasks Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses dstack, an innovative container orchestration tool tailored for AI workloads, serving as an alternative to Kubernetes and Slurm. It simplifies the management of AI model development and…

  • Hacker News: Security flaws found in all Nvidia GeForce GPUs. Update drivers ASAP

    Source URL: https://www.pcworld.com/article/2504035/security-flaws-found-in-all-nvidia-geforce-gpus-update-drivers-asap.html Source: Hacker News Title: Security flaws found in all Nvidia GeForce GPUs. Update drivers ASAP Feedly Summary: Comments AI Summary and Description: Yes Summary: Nvidia has issued a critical alert regarding multiple security vulnerabilities in its GeForce GPUs, affecting both Windows and Linux users. The vulnerabilities can potentially allow attackers to gain…