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In 2016, Serkan Piantino packed up his desk at Facebook with hopes to move on to something new. The former Director of Engineering for Faceboook AI Research had every intention to keep working on AI, but quickly realized a huge issue.
Unless you’re under the umbrella of one of these big tech companies like Facebook, it can be very difficult and incredibly expensive to get your hands on the hardware necessary to run machine learning experiments.
Spell - Today - Series - A - Funding
So he built Spell, which today received $15 million in Series A funding led by Eclipse Ventures and Two Sigma Ventures.
Spell is a collaborative platform that lets anyone run machine learning experiments. The company connects clients with the best, newest hardware hosted by Google, AWS and Microsoft Azure and gives them the software interface they need to run, collaborate, and build with AI.
Decades - App - Things - AI - Piantino
“We spent decades getting to a laptop powerful enough to develop a mobile app or a website, but we’re struggling with things we develop in AI that we haven’t struggled with since the 70s,” said Piantino. “Before PCs existed, the computers filled the whole room at a university or NASA and people used terminals to log into a single main frame. It’s why Unix was invented, and that’s kind of what AI needs right now.”
In a meeting with Piantino this week, TechCrunch got a peek at the product. First, Piantino pulled out his MacBook and opened up Terminal. He began to run his own code against MNIST, which is a database of handwritten digits commonly used to train image detection algorithms.
Program - Spell - Platform - Program - Spell
He started the program and then moved over to the Spell platform. While the original program was just getting started, Spell’s cloud computing platform had completed the test in under a minute.
The advantage here is obvious. Engineers who want to work on AI, either...
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