Yesterday NVIDIA unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace Blackwell platform.
Project DIGITS features the new NVIDIA GB10 Grace Blackwell Superchip, offering a petaflop of AI computing performance for prototyping, fine-tuning and running large AI models.
GB10 features an NVIDIA Blackwell GPU with latest-generation CUDA® cores and fifth-generation Tensor Cores, connected via NVLink®-C2C chip-to-chip interconnect to a high-performance NVIDIA Grace™ CPU, which includes 20 power-efficient cores built with the Arm architecture.
MediaTek, a market leader in Arm-based SoC designs, collaborated on the design of GB10, contributing to its best-in-class power efficiency, performance and connectivity.
Today’s collaboration is the latest between the two companies, building on MediaTek’s work with NVIDIA to bring drivers and passengers novel experiences inside the car with new MediaTek Dimensity Auto Cockpit chips. MediaTek’s Dimensity Auto Cockpit chips integrate NVIDIA’s next-gen GPU-accelerated AI computing and NVIDIA RTX graphics.
I see all the pieces of the puzzle aligning. Maybe not now, but in a few years to enable onboard AI in vehicles. Whether this is ROI +ve and if there is a business case to this, is yet to be seen. The ultimate blockade to allowing AI-based tech handle more functions in a vehicle would be to secure it and ensure it's functioning and making it on-board opens up that solution.
But if IMAX is possible in cars, then why not on-prem AI in vehicles. If you follow the path of computing which started from rooms, to desks, to the pocket, then to the cloud and to vehicles. Computing for AI could also take a similar path.
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