The world of artificial intelligence (AI) is growing at an exponential rate, with a broad range of topics spanning from the latest CPUs, GPUs, ASICs and FPGAs that run modern AI workloads, along with the different types of AI usages, such as the different types of large language models (LLM) and how they are trained and then used for inference workloads. Here you'll find Tom's Hardware's leading coverage of all things AI.
Latest about Artificial Intelligence
Microsoft announces 'world's most powerful' AI data center
Microsoft's new datacenter in Wisconsin will use "hundreds of thousands of NVIDIA GB200s, connected by enough fiber to circle the Earth 4.5 times," CEO Satya Nadella wrote.
China foes get worse results using DeepSeek, research suggests
Research suggests that your DeepSeek AI results can be of drastically lower quality if you trigger China’s geopolitically sensitive tripwires.
China bans its biggest tech companies from acquiring Nvidia chips, says report
Beijing is reportedly telling its biggest tech companies to buy local instead of purchasing Nvidia's latest China-specific AI chips.
Google terminates 200 AI contractors
Some believe they were let go because of complaints over working conditions and compensation.
ASRock's revamped AI Quickset WSL virtualization tool makes it easy to run Linux AI apps on Windows
ASRock has developed a new iteration of its AI Quickset tool that provides users with an automated method of deploying Linux-based AI models on Windows with the help of virtualization.
OpenAI and Microsoft reach an understanding over ongoing contract negotiations — but AGI clause remains an uncertainty
Premium OpenAI and Microsoft has struck a memorandum of understanding on their ongoing contract negotiations, opening the door for OpenAI to begin corporate restructuring.
Top China silicon figure calls on country to stop using Nvidia GPUs for AI
Develop AI-specific ASICs instead.
China's chip champions ramp up production of AI accelerators at domestic fabs, but HBM and fab production capacity are towering bottlenecks
Millions of China-made AI accelerators are incoming from multiple companies in 2025 - 2026, but they may not be enough to meet the performance demands of local AI companies.
