NVIDIA

Nvidia has projected a massive $1 trillion revenue opportunity for its AI chips by 2027, signaling a major shift toward real-time “inference” computing. At its GTC conference, CEO Jensen Huang unveiled new AI systems and chips, including collaboration with startup Groq, to strengthen Nvidia’s edge in the next phase of AI. As competition rises from tech giants building custom chips, Nvidia is doubling down on faster, more efficient AI processing. The move highlights a crucial transition from training AI models to deploying them in real-world applications at scale.

2026 MEMORY CRISIS Incoming! AI Boom Devours Global RAM Supplies—Shortage Hits Phones, Laptops & PCs Hard! Nvidia, AMD, Google hog HBM for AI chips, forcing Samsung, Micron & SK Hynix to prioritize them. Regular DRAM prices may surge 50-55%. Memory now 20%+ of device costs (up from 10-18%). Apple downplays, Dell warns of rising expenses. Consumers brace for higher gadget prices!

Nvidia DROPS $20B Bomb: Buys Groq Assets in Biggest Deal Ever! AI chip king absorbs inference powerhouse (ex-Google engineers' ultra-fast tech)—cloud business stays independent, founder & team join Nvidia. Shuts rivals' door amid exploding inference demand (chatbots, search, enterprise AI). Jensen Huang: Strengthens dominance as Meta/Google/OpenAI chase alternatives. AI arms race intensifies!

The seven most-valuable US Tech companies lost a combined $1 trillion in market value on Monday. Meta, Microsoft, Alphabet and Tesla, and the seven most-valuable tech companies lost $995 billion during monday trade. Nvidia shed more than $300 billion in market cap at the opening bell, later recovering to close with a loss of $168 billion. Watch the video to know more!

While the world relies on NVIDIA chips for AI model training, Apple is breaking the mold by choosing Google's Tensor Processing Units (TPUs) instead. This bold move sees Apple renting server space from cloud providers rather than building its own data centers, potentially revolutionising cost and efficiency in AI processing. Could this decision challenge NVIDIA's dominance in the AI chip market? Watch this video to know more about Apple's innovative strategy and its implications for the future of AI!

Nvidia, based in Santa Clara, California, said it will spend 40 million pounds ($52 million) on the supercomputer, dubbed Cambridge-1The announcement comes after the company said last month it agreed to buy UK-based chip designer Arm Holdings for up to $40 billion

For Jensen Huang, the landmark bid for Arm cements his ambition to supplant Intel

Most people don’t go a day without handling an Nvidia or Arm-based product, even if they don’t know it

Nvidia CEO Jensen Huang announced the new series of graphics processing units at a virtual event The GeForce RTX 30 series fuses programmable shading, ray tracing and AI for developers to create entirely new worlds, Huang said

While ARM doesn’t manufacture its own chips, the company owns the intellectual property (IP) for pretty much any mobile chipset you see today