…With performance comparable to the Nvidia V100 GPU, a common accelerator in HPC but better energy consumption numbers and memory bandwidth potential, Graphcore can turn heads in supercomputing.
For those who are at the intersection of AI hardware and software, the open source Apache TVM effort is already well known and used among a number of chipmakers as well as developers. …
There could be a new era of codesign dawning for machine learning, one that moves away from the training and inference separations and toward far less dense networks with highly sparse weights and activations. …
No matter how established any market is, there is always the churning and burning of change happening and there is always an opportunity for new players to carve out a place for themselves in new niches. …
…Targeting HPC, AI, Analytics trifecta: A100 GPUs get double the memory with 80GB HBM2e for server, DGX, and appliances while Nvidia/Mellanox announce NDR 400G Infiniband.
We have written much over the last four or five years about the role FPGAs might play in the ever-expanding deep learning space, both in training and inference. …
For more than a decade, as they have watched the amount of data they are generating stack up and technologies like artificial intelligence and analytics come to the forefront, enterprises have turned an eye toward high performance computing equipment and tools to help them get a handle on all of it. …
…Is the inclusion of specialized matrix engines in general-purpose processors truly motivated and merited, or is the silicon better invested in other parts?
Standing out in the crowded server inference space is getting more difficult, especially at this late stage of the startup game. …
As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for electronic design automation (EDA), I believe I have a unique perspective on the future of the electronic and electronic design industries. …
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