Today we're introducing Hypergraph—a neuromorphic data engine designed to keep operational costs constant instead of ballooning as the data size increases (a characteristic called diseconomies of scale). Read more in our introductory blog post: graphiumlabs.com/blog/introduci…

AI: Hype or Revolution? We think it's a bit of both. Read more in our latest blog post: graphiumlabs.com/blog/the-real-…

We often think of data as an abstract virtual element, lacking mass, energy, or inertia. But data exists as physical state in physical systems, whose characteristics and constraints shape and control everything that we can and cannot do with our data. graphiumlabs.com/blog/physical-…

We don't talk enough about Scaling to Catastrophe in distributed systems. Today's blog, part 2 in our series on the Physical Properties of Data, explores the different scaling phases through the lens and math of the Universal Scalability Law. graphiumlabs.com/blog/part2-gun…

Co-founder Nisan Haramati gave a talk at last night's Vancouver.systems event, titled "The Limits of Scaling and the Physical Properties of Data", going over how to predict the size limit at which distributed systems stop scaling and start losing throughput. Check it out!

Video I shot of a great talk by ʕ•͡ᴥ•ʔ on "The Limits of Scaling" at the Vancouver Systems meetup on March 10. (link below)

ʕ•͡ᴥ•ʔ youtube.com/watch?v=D4ZLUn…

This was a really fun talk to give. Thanks Kir Shatrov and Cameron for organizing, and Tavis Rudd for recording! Video: m.youtube.com/watch?v=D4ZLUn… Slides: graphiumlabs.com/vancouver-syst…

Big news: Saem Ghani is joining Graphium Labs as CEO! With deep roots in SaaS + large-scale data systems, he’s here to help us scale what’s next. Catch us (and Saem!) at our booth at Web Summit Vancouver, May 27–30.