Large language models may appear to respond instantly, but behind every answer is a highly repetitive process. Most modern LLMs generate text one token at a time. A token might be a word, part of a word, punctuation mark or short piece of code. The model predicts one token, adds it to the context, then predicts the next. This continues until the response is complete.

Malaysia's data centre industry is growing quickly, especially as the country positions itself for wider AI adoption and a stronger role in Southeast Asia's digital economy. However, as more large-scale digital infrastructure projects are being developed, public concerns are also becoming harder to ignore.

The idea of a 16TB M.2 SSD almost sounds unreal, especially when most people still see 1TB or 2TB as the sweet spot for everyday use. Even 4TB and 8TB drives still feel premium to many buyers. So hearing that a 16TB M.2 SSD now exists naturally grabs attention. On paper, it sounds like a dream product for anyone who wants massive storage in an incredibly compact form.

The global boom in artificial intelligence is driving innovation at a staggering pace, but it's also creating some massive engineering headaches. Chief among them? Heat. Today's AI systems require enormous computing power, which in turn produces an incredible amount of heat inside data centres. Traditional cooling methods are already struggling to keep up.

Malaysia's data centre (DC) investment scene is showing no signs of slowing down, even with a few bumps on the global front. According to CIMB Securities, interest in setting up data centre infrastructure in the country remains strong and is expected to pick up pace in the coming months.