Reading list 1 January reading, hardware and AI
This weeks reading
- Introducing Nomic Embed: A Truly Open Embedding Model
- Inside the NVIDIA Rubin Platform: Six New Chips, One AI Supercomputer
- Beyond FLOPS: The Engineering Problems NVIDIA Rubin Actually Solves.
- Crew AI Docs
- Apple-TSMC: The Partnership That Built Modern Semiconductors
- Reading on setting up mass storage products, Dell, Unifi, Generic, Repurposing older rack servers, Drive specs, idle, avg, peak wattage, cost per TB, speed specs etc.
- Performance issues around Python Global Interpreter Lock (GIL)
Cakes and treats
- Spring House
- Truly Scrumptious
- Sweet Here After
- Delectable Desserts
- Marble Slab Creamery
- Wild Leek
- Small Batch Bakery
- Syd Delicious
- Mavericks Donuts
TODO
- https://www.deeplearning.ai/short-courses/nvidia-nat-making-agents-reliable/
- https://github.com/BrainBlend-AI/atomic-agents
- More semi analysis