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.
Moonshot AI reportedly used Nvidia Blackwell chips for training Kimi K3 — potentially circumventing both U.S. export and Chinese import controls
OpenAI CEO Sam Altman recently declared on the Relentless podcast that artificial intelligence has entered the technological singularity.
New report reveals that AI companies are buying up physical books to train their LLMs and destroying them in the process.
OpenAI, Google, and Anthropic, companies behind proprietary, "closed" AI models are conspicuously absent from the alliance.
Moonshot AI has released the weights for its recent Kimi-K3 model, directly going against OpenAI and Anthropic.
Getting a local language model running on a sub-$10 microcontroller is impressive despite its obvious limitations.
Buildout of large AI data centers in regions historically specializing in agriculture may have long-lasting consequences.
Can 'DLSS for MRI machines' save more lives?
OpenAI tests multiple autonomous AI agents at once and has difficulty identifying the threats each of them represents, if a new report from Reuters is accurate.
Nvidia and SK Group enter $500 billion strategic partnership focused on long-term memory supply, 2 GW AI data center, and future AI infrastructure
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