SimpleMachines (SMI) has created a Software-Defined Compute platform that is future-proofed against the growing needs of artificial intelligence, virtual reality, machine learning, robotics, and big data. Traditional computer systems (CPUs) were designed to be easily programmable, which allowed technology to permeate every facet of daily life. But the software those systems ran only got faster as a result of the doubling of performance every 2 years (Moore’s Law), which has recently come to an end. Software has gotten more complex and data sets are growing exponentially, creating the need for a new chip platform. Recently, the industry has resorted to building single purpose systems (ASICs) that are impossible to reprogram. These hardware-only (chip) solutions are incredibly expensive, take years to develop and deploy (3+ years), and run the risk of being obsolete by the time they are ready, making them poor investments for the rapidly changing software and environments they are meant to enable. SimpleMachines’s solution is a radically new software-centric approach to the problem that deploys a programmable platform with a breakthrough software stack that enables the programmer to easily optimize the hardware on the fly and get the performance of custom silicon with a platform that supports hundreds of different use cases.
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