graphiumlabs

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graphiumlabs

graphiumlabs

@graphiumlabs

https://t.co/yiqgzRhzSx

San Francisco, CA Katılım Haziran 2024
4 Takip Edilen5 Takipçiler
graphiumlabs
graphiumlabs@graphiumlabs·
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.
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Tavis Rudd
Tavis Rudd@tavisrudd·
Video I shot of a great talk by @nisanharamati on "The Limits of Scaling" at the Vancouver Systems meetup on March 10. (link below)
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graphiumlabs
graphiumlabs@graphiumlabs·
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!
ʕ•͡ᴥ•ʔ@nisanharamati

This was a really fun talk to write and present! Thanks for organizing, @cameron_p_m and @kirshatrov ! Here are my slides from last night's talk: graphiumlabs.com/vancouver-syst…

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graphiumlabs
graphiumlabs@graphiumlabs·
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…
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graphiumlabs
graphiumlabs@graphiumlabs·
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-…
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graphiumlabs
graphiumlabs@graphiumlabs·
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…
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