Research/AI Bottleneck Tracker
VIUS Research System

AI Bottleneck Tracker

Continuous tracking of the operating constraints shaping AI infrastructure.

Live Research Tracks

Current Focus

Two connected layers inside one system-level research framework.

Optical modules, DSP silicon and other transition-layer hardware used inside AI infrastructure.

Optical Interconnects

Strengthening

Bandwidth density and data movement are becoming system-level constraints as AI clusters scale.

We Track
800G1.6TCPOLasersSilicon PhotonicsInP
Latest Change

The optical transition remains intact, while CPO timing and deployment readiness remain the key evidence gap.

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Memory chips and a semiconductor wafer representing the AI memory supply cycle.

Memory & Storage

Monitoring

HBM growth can redirect scarce wafer, packaging and testing resources across the broader memory stack.

We Track
HBMDRAMNANDSSDPackagingControllers
Latest Change

Near-term scarcity remains supportive, but the durability test shifts toward the 2028–2029 capacity wave.

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Method

Tracking Framework

Demand Signals

AI workloads, model roadmaps and infrastructure expansion.

Supply Constraints

Capacity, lead times, materials, packaging and qualification.

Pricing & Capacity

Pricing, utilization, inventory and new capacity additions.

Company Signals

Guidance, customer evidence, order flow and capital spending.

Research Log

Recent Evidence

Published VIUS research that changed or sharpened the tracker.