Advanced Computing in the Age of AI|Wednesday, November 25, 2020
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GPU

Nvidia Unveils Its A100 80GB GPU Powerhouse Supercomputing Chip

SC20 – Nvidia has doubled the memory of its A100 datacenter GPUs with its new A100 80GB version, which aims to drive new levels of supercomputing-class performance in a ...Full Article

With Strong Q2 Earnings, Nvidia’s System Play Comes Into Focus

Nvidia has announced its Q2 2021 earnings: $3.87 billion, outperforming analyst expectations amid a global pandemic and showing signs of a successful (and ongoing) reorientation of its business strategy. ...Full Article

Hardware Acceleration of Recurrent Neural Networks: the Need and the Challenges

Recurrent neural networks (RNNs) have shown phenomenal success in several sequence learning tasks such as machine translation, language processing, image captioning, scene labeling, action recognition, time-series forecasting, and music ...Full Article

ISC 2020: Hoefler’s Virtual Tour of ML Trends in 9 Slides

The ISC20 experience this year via livestreaming and pre-recordings is interesting and perhaps a bit odd. That said presenters’ efforts to condense their comments makes for economic use of ...Full Article

Nvidia Unveils AI Supercomputer, Launches A100 PCIe Cards

Nvidia unveiled its Selene AI supercomputer today in tandem with the updated listing of world’s fastest computers. Nvidia also introduced the PCIe form factor of the Ampere-based A100 GPU. ...Full Article

Nvidia Earnings Top Expectations, Data Center Revenue Jumps 80%

Nvidia’s seemingly endless roll continued in the first quarter with the company announcing blockbuster earnings that exceeded Wall Street expectations. Nvidia said revenues for the period ended April 26 ...Full Article

Nvidia Launches Ampere GPU with Up to 20X the AI Performance

Nvidia’s first Ampere-based graphics card, the A100 GPU, packs a whopping 54 billion transistors on 826mm2 of silicon, making it the world’s largest seven-nanometer chip. Launched today during a pre-recorded ...Full Article

Virtualized AI: Deep Learning Needs More than Just More Compute Power

Is the recent progress in deep learning true artificial intelligence? A widely-discussed article by Google’s Francois Chollet discusses the skill acquisition-based approach to gathering intelligence – the one currently ...Full Article

Beat the GPU Storage Bottleneck for AI and ML

Data centers that support AI and ML deployments rely on Graphics Processing Unit (GPU)-based servers to power their computationally intensive architectures. Across multiple industries, expansion in GPU use is ...Full Article

AMD’s Road Ahead: 5nm Epyc, CPU-GPU Coupling, 20% CAGR

Promising Wall Street a 20 percent CAGR and an aggressive CPU-GPU product roadmap, AMD delivered a confident self-portrait at its financial analyst day in Santa Clara yesterday that’s at ...Full Article
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