Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
Capping a dramatic turnaround, Mythic has raised $125M in an oversubscribed funding round led by DCVC to solve the biggest problem of AI?its insatiable, ruinous energy consumption?at both the data ...
The company's traditional approach to memory optimization should now be seen as yet another advantage over rival platforms.
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...