AI’s computing gap: academics lack access to powerful chips

Nov 20, 2024 · AI’s computing gap: academics lack access to powerful chips needed for research Survey highlights disparity between academic and industry scientists’ access to computing …

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Are AI chips limiting the global supply chain?

Link Copied! The crushing demand for AI has also revealed the limits of the global supply chain for powerful chips used to develop and field AI models. ...

What barriers have hindered AI chips?

Verma, who will lead the project, said the advances break through key barriers that have hindered AI chips, including size, efficiency, and scalability. Chips that require less energy can be deployed to run AI in more dynamic environments, from laptops and phones to hospitals and highways to low-Earth orbit and beyond. ...

Can AI chips be reimagined?

The new hardware reimagines AI chips for modern workloads and can run powerful AI systems using much less energy than today’s most advanced semiconductors, according to Naveen Verma, professor of electrical and computer engineering. Verma, who will lead the project, said the advances break through key barriers that have stymied chips for AI, includ ...

How do AI chips accelerate calculations?

To further speed up calculations, many AI chips, such as TPUs and GPUs, use a kind of digital shorthand. Instead of using the standard 64-bit format for numbers, these chips can represent numbers using fewer bits, allowing for faster processing. ...

Why are CPUs not well-suited for AI?

While CPUs are designed to serve as the core component of a computer to run a centralized operating system and its applications, they are not well-suited for AI systems. GPUs, on the other hand, are well-suited for AI because they can carry out calculations in parallel while sacrificing some precision, improving AI-related efficiency. ...

What can slimmed-down AI chips do?

Slimmed-down AI chips can support the phone’s CPU by handling the tedious tasks of AI applications, such as image recognition, without relying on sending data to the cloud. Although it would be nice to simply put a full GPU on a mobile phone, she says, energy costs and price make that prohibitive. ...