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from todays future of neuromorphic computing event organized by Benjamin Wolba tldr neuromorphic computing tries to imitate mechanisms of the human brain and is therefore energy efficient our brain uses as much energy then a lightbulb but is pretty performant (for the most😂)

Leading GPUs currently: 1. RTX 5090 - 293 images generated 2. H200 - 262 images generated 3. RTX 4090 - 204 images generated 5090 is a beast 💀💀💀

Fertile soil from which new organisms grow. GPU cluster management is the new farming for digital beings.

1. read & reply to user feedback 2. fix bugs 3. implement something new 4. ship Repeat daily

Working on GPU pricing transparency - will release soon 🔜

Wow on the HN front page after just one hour - really cool

some guy actually built a dedicated processor for running python an implemented it on an FPGA

We are excited to share a preview of our peer-to-peer decentralized inference stack Engineered for consumer GPUs and high-latency networks — plus a research roadmap to scale it to a planetary-scale decentralized inference engine.

100 men vs. 1 Gorilla simulated

One million chatbots when?

Designed a T-shirt

Jeff Dean vs. 100 gorillas, who wins?

hyperamerica.com

With more benchmarks being added, I can finally show in which percentile a GPU ranks overall compared to all GPUs and compared to the same type of GPU only:) The bigger the database gets, the more valuable this data becomes, so go try it if you have a GPU at home🙏