Toggle light / dark theme

Over the last decade, the landscape of machine learning software development has undergone significant changes. Many frameworks have come and gone, but most have relied heavily on leveraging Nvidia’s CUDA and performed best on Nvidia GPUs. However, with the arrival of PyTorch 2.0 and OpenAI’s Triton, Nvidia’s dominant position in this field, mainly due to its software moat, is being disrupted.

This report will touch on topics such as why Google’s TensorFlow lost out to PyTorch, why Google hasn’t been able to capitalize publicly on its early leadership of AI, the major components of machine learning model training time, the memory capacity/bandwidth/cost wall, model optimization, why other AI hardware companies haven’t been able to make a dent in Nvidia’s dominance so far, why hardware will start to matter more, how Nvidia’s competitive advantage in CUDA is wiped away, and a major win one of Nvidia’s competitors has at a large cloud for training silicon.

Join Our Discord to enter the giveaway (and comment with your username (without the at!)): https://discord.gg/learnaitogether.

Attend WAICF with a 20% discount: https://www.worldaicannes.com/pass/executive-pass/?utm_campa…ICF23-LOBO

References:
►Read the full article: https://www.louisbouchard.ai/vall-e/
►Link for the audio samples: https://valle-demo.github.io/
►Wang et al., 2023: VALL-E. https://arxiv.org/pdf/2301.02111.pdf.
►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/

Chapters:

Cardiovascular disease (CVD) is the #1 cause of death globally and encompasses a broad set of over a dozen disorders that compromise the function of the heart and blood vessels. The major cause of CVD by far, however, is the pathological process of (CDC, 2022). Like the accumulation of rust within pipes, involves the gradual build up of plaque within arteries which compromises the flow of blood and oxygen in the body. Strikingly, is responsible for more than 40% of all deaths worldwide, and 80% of those deaths are in individuals 65 years and older. This includes mortality from devastating pathologies that are among the leading causes of death like coronary artery disease, chronic obstructive pulmonary disorder and stroke (Pahwa, 2022).