AI is arguably the most important kind of HPC in the world right now in terms of providing immediate results for immediate problems, and particularly for enterprises with lots of data and a desire to make money in a new economy that does not fit models and forecasts before the coronavirus pandemic. …
How expensive and difficult does hyperscale-class AI training have to be for a maker of self-driving electric cars to take a side excursion to spend how many hundreds of millions of dollars to go off and create its own AI supercomputer from scratch? …
It is Google I/O 2022 this week, among many other things, and we were hoping for an architectural deep dive on the TPUv4 matrix math engines that Google hinted about at last year’s I/O event. …
Nvidia is not the only company that has created specialized compute units that are good at the matrix math and tensor processing that underpins AI training and that can be repurposed to run AI inference. …
While the hyperscalers have been running AI workloads against vast datasets in production for a decade and a half, many large enterprises have lots of data they think is relevant but they are not at all experiences with AI and the system requirements it has. …
A number of chip companies — importantly Intel and IBM, but also the Arm collective and AMD — have come out recently with new CPU designs that feature native Artificial Intelligence (AI) and its related machine learning (ML). …
It is hard to imagine how anyone could run Nvidia better than it is being run right now. …
Having to install a new kind of systems software stack and create applications is hard enough. …
For more than three decades, researchers have used a particular simulation method for molecular dynamics called Ab initio molecular dynamics, or AIMD, which has proven itself to be the method most accurate for analyzing how atoms and molecules move and interact over a fixed time period. …
Any workload that has a complex dataflow with intricate data needs and a requirement for low latency should probably at least consider an FPGA for the job. …
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