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“The current ML problems using 32-bit dense matrix multiplication is where GPUs excel. We encourage other developers and researchers to join forces with us to reformulate machine learning problems to ...
But maybe that will change, and in large part due to the success of GPUs in running applications that have less precision than supercomputers have historically tolerated. “The key obstacle in the ...
GPUs and FPGAs are current technologies that are helping to solve challenges in how to expand the impact of machine learning on many markets.
One salient feature of SC15, the US supercomputing conference in Austin, Texas, at the end of November was the way in which FPGAs are now coming into the limelight, in a manner markedly similar to the ...
Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) are the two main hardware solutions for most AI operations. According to the precedence research group, the global AI in ...
FPGAs, notable because they can be reprogrammed for new processing tasks, seem to have lost their luster in the mania around generative AI. GPUs are all the rage, or in some cases, custom silicon ...
So, you know how technology just keeps moving forward? Well, Field-Programmable Gate Arrays, or FPGAs, are right ...
Our Universal Processor does it all - CPU, GPU, DSP, FPGA - in one chip, one architecture. This isn't an incremental ...
When it comes to major types of chips used in computers, much of the focus is on central processing units (CPUs) or graphic processing units (GPUs). But those aren’t the only types of chips that can ...
Ubitium announces development of 'universal' processor that combines CPU, GPU, DSP, and FPGA functionalities – RISC-V powered chip slated to arrive in two years ...