About Scale Computing

A long time ago, back in 2006, Scale’s engineers built a super computer called Super Bruce. Super Bruce was a stateless computer that stood 8.5 feet tall and was packed with hundreds of processors.

Super Bruce needed data storage. Our research revealed that a few TBs of storage cost more than Super Bruce cost to build. Additionally, existing market solutions in our price range couldn’t scale like Super Bruce (SB). SB used an advanced parallel file system called GPFS by IBM that was found only in the world’s most complex supercomputing installations. We could scale processing power easily (hence the 8.5 feet of Intel chips), but we couldn’t find an affordable solution to linearly grow storage.

We called some customers from our previous companies (Radiate, Corvigo, Tumbleweed). They all gave us the same answer: it couldn’t be found because affordable, clustered, scale-out storage didn’t exist for the midmarket. They went on to add that if we could make midmarket storage solutions less costly, more convenient to manage, and with added control over scalability, they’d buy them.

So we did.

Super Bruce transformed into our first Storage Nodes as our engineers wrote the code for our patent-pending Intelligent Clustered Storage (ICS) architecture.

Using IBM’s GPFS as its core, ICS was molded into the architecture our customers demanded:

We know you’ll like our storage and think you’ll like our company even better.

In many ways, you could say: “Scale Computing was my idea.”