But exactly how DeepSeek's developers managed this feat is likely down to a clever hack. A virtual DPU on the GPU itself. First, some background. DeepSeek is an advanced Mixture-o

India to build an AI foundational model, launching a GPU-powered compute facility for startups and researchers

Nvidia's position in AI could be challenged by DeepSeek’s efficient models. Learn why NVDA stock might face challenges from the rise of GPU-agnostic AI.

Put simply, foundation models in generative AI are large, pre-trained models that form the base for a variety of AI applications.

Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing that the indigenous AI

ASUS looks to be making a new non-Intel NUC: rumored new NUC has AMD's latest (and kick ass) Ryzen AI Max+ 395 'Strix Halo' APU inside. ASUS is reportedly preparing a new family of NUC Mini-PCs that will be powered by AMD's new Ryzen AI Max "Strix Halo" APUs.

While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power. Optimized inference workloads that run over and over again on new data, on the other hand, should ideally use as few IT resources and power as possible.

This development comes at a time when China's DeepSeek, an AI startup, has introduced its open-source reasoning model R1, which challenges the idea that extensive GPU resources are a prerequisite for building advanced AI models. However, officials clarified that IndiaAI's approach remains unchanged.

AMD might lose out to Nvidia in the desktop GPU department, but it's set to put up a fight within the laptop GPU region.

Chinese startup DeepSeek has been taking the AI industry by storm with a new chatbot rivaling ChatGPT and Gemini that uses a fraction of the power, time, and money to train and operate.

Instead of relying on AI models developed in other countries, India is building its own, ensuring it's free from any biases and truly reflects the country's diversity.

When OpenAI released ChatGPT in 2022, companies started spending billions on GPUs to train AI models. Nvidia led the market for graphics processing units (GPUs), so it was the right company at the right time to deliver monster returns to investors.