Hacker News
- Which GPU(s) to Get for Deep Learning https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/ 128 comments
- Realistic model development timelines and costs - AWS vs local RTX 4090 machines https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/#When_is_it_better_to_use_the_cloud_vs_a_dedicated_GPU_desktopserver 22 comments computervision
- Workstation Build Recommendations: A6000 Ada, 4090: LLM focus https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/ 2 comments deeplearning
- [link] Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/ 14 comments learnmachinelearning
Linking pages
- Nvidia H100 GPUs: Supply and Demand · GPU Utils ⚡️ https://gpus.llm-utils.org/nvidia-h100-gpus-supply-and-demand/ 194 comments
- Building a deep learning rig | part-1 - Samsja https://samsja.github.io/blogs/rig/part_1/ 106 comments
- Normcore LLM Reads · GitHub https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e 54 comments
- How to make LLMs go fast https://vgel.me/posts/faster-inference/ 54 comments
- Recomputing ML GPU performance: AMD vs. NVIDIA https://espadrine.github.io/blog/posts/recomputing-gpu-performance.html 4 comments
- AI Homelab: A guide into hardware to software considerations | Erdal Toprak https://erdaltoprak.com/blog/ai-homelab-a-guide-into-hardware-to-software-considerations/ 2 comments
- The State of Competitive Machine Learning | ML Contests https://mlcontests.com/state-of-competitive-machine-learning-2022/ 0 comments
- Diminishing Returns in Machine Learning Part 1 https://www.fromthenew.world/p/diminishing-returns-in-machine-learning 0 comments
- aie-book/resources.md at main · chiphuyen/aie-book · GitHub https://github.com/chiphuyen/aie-book/blob/main/resources.md 0 comments
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