Nvidia is a victim of the compute marketplace it created - TechCrunch

Nvidia, once the industry leader in AI computing, is now facing a market downturn despite continued revenue growth. Its stock has dropped 15% since its May peak, and it is now trading at a discount co... Read original →

Nvidia is now being undercut by the very AI compute ecosystem it pioneered. While CUDA remains a formidable moat, it has paradoxically accelerated cloud hyperscalers' urgency to develop in-house silicon—Google’s TPU, Microsoft’s Maia, and Amazon’s Trainium are shifting from niche to mainstream, eroding GPU indispensability in training workloads. Technologically, HBM shortages have made DRAM the new performance bottleneck, empowering memory makers like Micron to command pricing power and reshape data center cost structures. On the compliance front, U.S. export controls on advanced chips ironically incentivize customers to diversify supply chains away from sole GPU dependency. Over the next 12–24 months, AI infrastructure will pivot from compute density to memory bandwidth density. Without leadership in HBM3E/HBM4 integration or a more open software stack, Nvidia’s hardware premium will face sustained erosion. The battle is no longer just about raw performance—it’s about full-stack sovereignty.