Reports
AI-generated structured vendor updates
NVIDIA Denies Kyber NVL144 Delay, But 78-Layer PCB Bottleneck Exposes AI Hardware Physics Limit
NVIDIA officially denies reports of Kyber NVL144 rack delay to 2028, but SemiAnalysis revelations about a 78-layer ultra-high-density PCB midplane bottleneck and Rubin Ultra cancellation expose hard physical limits in signal integrity and manufacturing, opening a strategic window for AMD and Google.
NVIDIA Kyber NVL144 Delayed to 2028: Midplane PCB Manufacturing Becomes AI Scaling Bottleneck
SemiAnalysis reveals NVIDIA's Kyber NVL144 delayed beyond 12 months to 2028 due to 78-layer Orthogonal Backplane manufacturing challenges. The interim NVL72x2 solution is cancelled due to operational burdens, and the 4-die Rubin Ultra is also scrapped, leaving a product gap in NVIDIA's scaling roadmap.
MediaTek Pivots to System-Level Integration: Targeting Google TPU and Musk AI Rack Deals
MediaTek elevates its AI strategy from chip design to system-level integration, targeting Google TPU PCBA L6 and Musk AI chip L10 rack assembly. Adopting a light-asset model via Taiwan's supply chain, targeting >40% gross margin, driven by rising complexity from CPO and 800V high-voltage DC power.
MediaTek Shifts from Chip Design to System Integration for Google TPU and Musk's AI Racks
MediaTek upgrades its AI strategy from chip/ASIC design to system-level integration, targeting Google TPU PCBA and Musk's AI chip rack-level (L10) work. Using an asset-light model, it leads design and validation while outsourcing manufacturing, aiming for 40-50% gross margin.
MediaTek Pivots from Chip Design to System-Level Integration, Targeting Google TPU and Musk AI Racks
MediaTek elevates its AI strategy from chip design to system-level integration, targeting Google TPU v10 PCBA and Musk-affiliated AI rack assembly. Using an asset-light model and Taiwan's supply chain, it aims for 40-50% gross margin in system integration.
NVIDIA and Doosan: Full-Stack Physical AI Platform Restructures Industrial Automation
NVIDIA expands collaboration with Doosan Group to integrate its physical AI stack (Isaac Sim, Cosmos, Jetson Thor) into Doosan Robotics' Agentic Robot OS, explore AI factory power (SMR, hydrogen fuel cells), and MGX ecosystem PCB materials. This move transforms NVIDIA from a GPU vendor into the central platform for physical AI and AI factory infrastructure, deeply locking industrial automation partners.