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
China's 2.8 trillion-parameter Kimi K3 beats Claude Fable 5 in Frontend Code Arena
Beijing-based Moonshot AI has released Kimi K3, a 2.8 trillion parameter model that the company describes in its technical blog as the world's first open 3T-class system.
Nvidia's Huang vows to deliver 'giant amounts' of Vera Rubin — company says that 'our roadmap is intact'
Chief executive of Nvidia says the company is on track to produce 'giant amounts' of Vera Rubin-based machines, but fails to address rumored delays of Kyber NVL144 racks from 2027 to 2028.
US allows Chinese telecom giant ZTE to purchase Nvidia H200 AI chips
Still no Blackwell, though, and Beijing gets the final say.
Tesla's AI5 with 2nm-class node tapes out at Samsung Foundry — production starts soon, months after TSMC tape out
Samsung Foundry soon to join TSMC in production of Tesla's AI5 processor, a LinkedIn post reveals.
Colibrì proof-of-concept gains frontier-level 1.5-TB AI model
Colibrì proof-of-concept gets a frontier-level AI model running on only 25 GB of RAM and a modest CPU
SK hynix and TetraMem collaborate on experimental chip to bolster energy efficiency for edge AI devices
Can their approach deliver solid performance?
Anthropic says it can read Claude's 'thoughts,' as detailed in a new research paper
Premium The internal "J-Space" opens up opportunities for greater training, oversight, and understanding how LLM's work.
Tencent is reportedly in talks to acquire Manus from Meta, following Beijing intervention
Manus is effectively cut off from Meta, but someone still has to pay back the $2 billion it spent on the startup.
