“Radeon Instinct is set to dramatically advance the pace of machine intelligence through an approach built on high-performance GPU accelerators, and free, open-source software in MIOpen and ROCm,” said AMD President and CEO Dr. Lisa Su.
That all sounds impressive, but what does the Radeon Instinct really do? Well, it’s technically a very powerful GPU, but instead of using those ample teraflops to pump out high-definition graphics, it’s using that computing power to build neural networks capable of powering machine learning applications — like the systems that power smart homes and autonomous vehicles.
Those systems require a substantial amount of processing power, and GPUs are adept at providing the specific kind of power a neural network needs. By handling data differently than standard processors, GPUs shave hours, days, or even weeks off of neural network processing compared to what a CPU would be capable of in handling the same computations.
This is because CPUs are better at handling different kinds of data all at once,such as everyday applications like Word and web browsers. GPUs on the other hand are optimized to handle one kind of code with a lot of different data inputs — all in parallel. This structure is what makes a GPU so good at processing graphics, since it doesn’t need to handle a bunch of different kinds of data all at once, it just needs to handle a specific kind of data with a lot of different variations.
“With the combination of our high-performance compute and graphics capabilities and the strength of our multi-generational roadmap, we are the only company with the GPU and x86 silicon expertise to address the broad needs of the datacenter and help advance the proliferation of machine intelligence,” Su continued.
That’s where the AMD Instinct comes in. Rather than performing machine intelligence processing on a GPU designed for gaming, AMD has designed one just for building and handling complex neural networks. The Instinct is slated for release sometime in 2017.
