Sep 28 • General discussion
🚀 Weekend Deep Learning Update: Processing 4.5 Million PubMed Articles
Exciting progress on a massive medical literature embedding project! Currently running a distributed GPU pipeline that's churning through the entire PubMed corpus - that's 4.48 million biomedical research articles.
📊 Current Stats:
• 655,500 articles processed (~15% complete)
• Dual RTX 3090 setup maintaining perfect 50/50 load balance
• Processing rate: 41,000+ articles per hour
• Zero thermal throttling over 18 hours continuous operation
🔬 Technical Highlights:
• Custom load balancing achieving exactly 454,721 chunks per GPU
• Chunk-based processing handling variable article lengths (avg 1.35 chunks/article)
• Automated checkpointing every 100 batches for fault tolerance
• Real-time monitoring with temperature-aware throttling
⏱️ Timeline:
Started: Friday afternoon
Expected completion: Thursday morning
Total compute time: ~109 hours
Building comprehensive medical AI embeddings requires serious compute dedication. This dataset will enable semantic search across decades of medical research - from clinical trials to drug discovery papers.
The beauty of well-engineered pipelines? They run through the weekend while you sleep
0
0 comments
🚀 Weekend Deep Learning Update: Processing 4.5 Million PubMed Articles
powered by
skool.com/built-simple-we-make-it-work-9812
We downloaded Stack Overflow and PubMed Central. Built a faster Windows Search. Automated entire workflows. Now we're sharing everything.
Suggested communities
Powered by