Jensen Huang, Nvidia’s CEO, paraded a range of goodies for GPU nerds, including a forthcoming credit-card sized AI computer board and software updates for its CUDA platform, during his company’s annual GPU Technology Conference in Silicon Valley on Monday.
If you’re looking for new and exciting architectures from Nvidia to train your beefy neural networks at ever increasing speeds, you’ll have to keep waiting.
The board contains a 128-core 921MHz Nvidia Maxwell GPU to accelerate neural network algorithms and similar mathematics, and a quad-core 1.4GHz ARM Cortex-A57 CPU cluster for running application code.
The $99 Jetson Nano board is, basically, for enthusiasts, it’s available now to order, and Nvidia’s hoping it’ll be a big hit with the builder community.
Nvidia’s Tesla T4 GPU was announced last year, it’s geared for inference workloads, and it will be previewed on Amazon Web Services within the coming weeks.
Speaking of AWS, you can also, we’re told, use Amazon’s IoT Greengrass service to deploy cloud-trained neural networks to Nvidia Jetson-based hardware out on the network edge.
Redmond’s Azure Nvidia GPU cloud instances now accelerate machine-learning code that taps into the CUDA-X-based RAPIDS library from Nv. The Windows giant and chip designer are also teaming up to tout video analytics.
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