Computes: Quantum Computing
As more Computes nanocores get deployed within large organizations as well as the public Internet via our browser-based computes.js implementation within websites, we will soon have more processing power harnessed than traditional supercomputers — or dare we say quantum computers. We expect that tipping point to happen as soon as this year!
We realize that quantum computing is more than just accessible computing power. It’s the ability to abstract algorithms to the point where algorithms can call other algorithms — just as our decentralized queuing technology, Lattice, can orchestrate tasks calling other tasks. Check out the chaining tasks section of our Getting Started guide.
Imagine being able to leverage this new found computing power and AI algorithm chaining capabilities to cure cancer, Parkinson’s disease, or even deployed as counter cyber terrorism and dark web surveillance.
Here’s an example of our computes.js browser nanocore technology leveraging computers’ cores on a secure software-defined mesh network from within a web page/browser to crack a password, chat application, or even SSL encryption.
In the above example, two Apple Macs cracked a five-letter “apple” password in 48 seconds via a Computes-powered brute force cracking exercise.
Let’s extrapolate on this example. I was surprised to benchmark my two-year old, four-core Macbook to learn that it has 273 GFLOPS of computing power.
Based on my calculations, it would only take 1,575 Macbooks connected to Computes to output 430 TFLOPS of computing power equivalent to the world’s 500th fastest supercomputer on the Top500 list — the Bull supercomputer in France.
Add 315 more Apple Macbooks to Computes and we would surpass the US Navy’s DSRC supercomputer. Look out Cray (and other supercomputer companies), we believe that traditional supercomputing as we know it today has hit the wall — read more.
Computes nanocores connect, communicate, and compute with one another as if they were physical cores running side-by-side within a single supercomputer. Computes is capable of both serial computations most commonly used in machine learning algorithms as well as massively parallel computations most commonly used in research and modeling. Best of all, Computes runs your computational tasks in Docker containers allowing you to write and run algorithms in any programming language and framework!
Learn more about the Computes vision. Learn more about the Computes architecture. Join our beta program and start supercomputing today!
Stay tuned to this blog for more exciting information about our new technology stack and development progress! You can also reach us on Twitter, Facebook, and GitHub.
