vj44

Joined 15 years ago

Karma
940
Submissions
97
Member since
Jan 17
Co-founder & CTO of OnSpecta (www.onspecta.com) - high performance commercial-scale neural networks technology.

Previously Computational Neuroscience researcher and CS student at MIT.

Previously co-founder & CTO of DataNitro (www.datanitro.com) - YC Summer 2012.

Enjoy backend solutions, distributed systems & theoretical data structures & algorithms.

More at www.jakubiuk.net

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Recent submissions

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Good job digging into all of this Paul! At my company (onspecta.com) we solve similar problems (and more!) to accelerate AI/deep learning/computer vision problems, across both CPUs, GPUs as well as other types of chips.

This is a fascinating space, and there are tons of speed up opportunities. Depending on the type of the workload you're running, you might be able to ditch the GPU entirely and run everything just on the CPU, greatly reducing cost & deployment complexity. Or, at the very least, improve SLAs and 10x decrease the GPU (or CPU) cost.

I've seen this over and over again. Glad someone's documenting this publicly :-) If any one of you readers have more questions about this I'm happy to discuss in the comments here. Or you can reach out to me at victor at onspecta dot com.

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Congrats Kite, Adam & the entire team for launching JS & Pro. Been a fan for a while. Fingers crossed!
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