Skip to content
IFAI

Blackwell

Product14 stories

  1. IndustryReach 43

    Nvidia's chips are moving into Apple's private cloud

    Nvidia just teamed up with Apple and Google to power Apple's Private Cloud Compute using Blackwell GPUs with Confidential Computing. The expanded infrastructure runs on Google Cloud to handle next-gen Apple Intelligence features, with hardware-rooted encryption ensuring no one can peek at your data.

  2. IndustryReach 53

    U.S. official says DeepSeek trained latest AI on banned Nvidia Blackwell chips

    A senior Trump administration official claims Chinese startup DeepSeek trained its upcoming model on banned Nvidia Blackwell chips, reportedly clustered in an Inner Mongolia data center. Officials also suspect the firm will scrub technical markers of chip usage. The leak further inflames Washington's bitter debate over export control enforcement.

  3. IndustryReach 39

    Nvidia brings 72GB of Blackwell GPU power to desktops

    Nvidia just made its RTX PRO 5000 72GB Blackwell GPU generally available for desktop workstations. The new card features 72GB of GDDR7 memory—a 50% increase over the 48GB variant—and delivers 2,142 TOPS of AI compute to handle memory-heavy agentic and generative workloads. Why it matters: Developers can now prototype and run tool-using AI agents directly from a local workstation without relying entirely on expensive data-center infrastructure.

  4. IndustryReach 43

    Nvidia crushes earnings estimates as Jensen dismisses AI bubble fears

    Nvidia just posted record October quarter revenue of $57B, up 62% year-over-year, alongside $31.9B in profit, easily beating Wall Street expectations. CEO Jensen Huang dismissed AI bubble worries, noting Blackwell sales are off the charts and cloud GPUs remain sold out. Big Tech's massive appetite for AI infrastructure spending shows zero signs of slowing down.

  5. IndustryReach 42

    Nvidia reports record $46.7B revenue fueled by Blackwell

    Nvidia just reported record Q2 revenue of $46.7 billion, up 56% year-over-year, alongside $26.4 billion in net income. Growth was spearheaded by data center demand, with its Blackwell chips alone driving $27 billion in sales. However, regulatory uncertainty left the company with zero sales of its China-focused H20 chip to Chinese customers.

  6. IndustryReach 55

    Nvidia and AMD to hand 15% of China chip revenue to US

    Nvidia and AMD just agreed to pay the U.S. government 15% of their revenue from AI chip sales to China. President Donald Trump said he originally demanded 20% before Jensen Huang negotiated a 5% discount. The deal walks back recent bans on chips like the H20 and opens the door for a trimmed-down Blackwell model to enter China.

  7. ResearchReach 31

    NVIDIA's Helix brings 32x more users to million-token AI inference

    NVIDIA just unveiled Helix Parallelism, a technique co-designed with its Blackwell architecture to fix memory bandwidth bottlenecks in multi-million-token decoding. By decoupling how GPUs handle attention and feed-forward networks, it boosts concurrent users by up to 32x at the same latency budget. It basically makes encyclopedia-sized prompts practical for real-time serving.

  8. IndustryReach 40

    Jensen Huang sees a trillion-dollar boom in AI factories

    NVIDIA CEO Jensen Huang just took the stage at COMPUTEX to declare that computing centers are officially turning into token-producing "AI factories." Backing up predictions of a multi-trillion-dollar infrastructure boom, NVIDIA unveiled the semi-custom NVLink Fusion architecture, DGX Spark desktop supercomputers, and a physics engine built with DeepMind and Disney. It is a full-stack push to cement NVIDIA as the bedrock of both digital and physical AI.

  9. RoboticsReach 35

    Nvidia speeds up humanoid robot training with GR00T N1.5

    Nvidia just announced Isaac GR00T N1.5 and a synthetic motion blueprint called GR00T-Dreams at Computex. Taking a single image as input, it generates simulation videos to train robot behaviors in just 36 hours instead of three months of manual recording. Why it matters: Tackling the data shortage makes scaling humanoids in factories and homes far more practical.

  10. IndustryReach 41

    Nvidia starts producing Blackwell AI chips in Arizona

    Nvidia just started producing its Blackwell AI GPUs at TSMC’s plant in Phoenix, Arizona, with packaging and testing handled within the state. The company is also teaming up with Foxconn and Wistron to build supercomputer factories in Texas, aiming to ramp up mass production over the next 12 to 15 months.

  11. IndustryReach 40

    The IRS is buying an Nvidia AI supercomputer

    The IRS is preparing to purchase an Nvidia SuperPod AI supercomputer packing 31 servers with eight Blackwell processors each. According to newly revealed acquisition documents, the system will handle complex machine learning workloads like automated fraud detection. Why it matters: As federal agencies push for automation, specialized government supercomputing could significantly accelerate replacing bureaucratic headcounts.

  12. IndustryReach 42

    Nvidia goes 'full steam ahead' on Blackwell chips

    Nvidia just confirmed its flagship Blackwell AI chips are in full production, brushing off recent server cooling rumors. The company has already shipped 13,000 samples to customers this quarter, with CEO Jensen Huang assuring investors that systems are standing up in great shape. Why it matters: Demand remains voracious, and Nvidia's AI data center revenue engine is showing zero signs of cooling down.

  13. IndustryReach 49

    Nvidia's revenue doubles, but shares dip on sky-high expectations

    Nvidia just reported a massive 122% jump in Q2 revenue to $30.04 billion, driven by explosive 154% growth in its data center division. However, its gross margin dipped slightly to 75.1% due to Blackwell chip design tweaks, sending shares down over 7% after hours as sky-high investor expectations proved tough to beat.

  14. IndustryReach 54

    NVIDIA's monster Blackwell GPU takes the stage

    NVIDIA just unveiled its next-generation Blackwell computing platform at GTC, promising a massive leap forward for trillion-parameter AI models. The new architecture delivers up to 5x better FP4 inference performance than Hopper, alongside the new GB200 Grace Blackwell Superchip and NIM software microservices. Why it matters: Accelerated computing is officially replacing general-purpose silicon, and tech giants are already lining up to build the next wave of generative AI.