NVIDIA’s guidance points to something much broader than stronger GPU demand. The key signal is that AI infrastructure bottlenecks are spreading across memory, packaging, networking, optics, power, cooling, grid capacity, and datacenter construction.
NVIDIA’s revenue growth itself does not prove silicon photonics adoption.
The stronger argument is that continued AI growth increases cluster size, bandwidth requirements and rack power density, pushing electrical interconnects closer to their physical limits.
That creates increasing pressure to move toward optical I/O, CPO and eventually scale-across architectures.
AI is no longer just a semiconductor buildout.
It is becoming a memory, networking, optics, power and physical-infrastructure buildout.
Nineteen layers, up to three articles each. Picked for coverage, not chronology: one entry point, one structural piece, one current read wherever the archive allows.
All links resolve to published PhotonCap articles at
photoncap.net / https://photoncap-map.pages.dev/
1. Compute silicon
$NVDA, $AMD, $AVGO, $MRVL
The GPU era ran on TSMC. The inference era runs on multiple foundries: NVIDIA Rubin NVL8 and 14 stocks (where the foundry split goes in the inference era)
Same Split, Opposite Directions: Where NVIDIA and AMD Cut the Rack Decides Where Optics Gets Paid (rack partitioning decides the optics bill)
Copper Wall, Age of Light — Dissecting Marvell’s FY2026 & the 1.6T Optics Chain (custom silicon meets the copper reach limit)
2. HBM / DRAM
$SKHY, $MU, Samsung Electronics
Three Routes Around the Memory Wall: Qualcomm’s Stack, Nvidia’s 3 Bits, and What Remains (the three architectural exits from the capacity wall)
The Cut Was Not HBM: The SOCAMM Selloff and the Optical Memory Fabric (what the market misread in the memory selloff)
Samsung and SK hynix Went Optical. What About Micron? (three memory makers, traced through patent priority dates)
3. Advanced packaging
$TSM, Amkor, ASE
7 Bonding Equipment Companies Behind HBM4 and CPO: AI’s Real Bottleneck Lives in Assembly (the assembly-side bottleneck, company by company)
[OFC 2026] Part 3 of 5: Packaging: Glass Substrates to 3D Hybrid Bonding (the packaging roadmap as presented at OFC)
TSMC Is Ahead in CPO. Samsung Is Putting a Third Chip Next to HBM (two foundry strategies for the same problem)
4. Semiconductor equipment
ASML, Applied Materials, Lam Research, KLA, Tokyo Electron
Compute Is the New Oil. So Who Builds the Drilling Rigs? (the equipment layer as the pick-and-shovel trade)
The 6 Companies Behind Coherent and Lumentum: The Real Leading Edge of the AI Optical Cycle (who sells to the optics names before they ship)
Veeco Q1 2026: Behind the MOCVD Thesis, Spector IBD Was the Real SiPh Lever (a single-name check on the equipment thesis)
5. Test / probe
$FORM
The Three Pillars of SiPh Wafer Test: What AEHR, FORM, and KEYS Actually Do (who owns which part of photonic test)
The 100-Second Bottleneck Behind NVIDIA CPO: 7 Companies That Own the 4-Stage Test Stack (test time as the CPO volume constraint)
FormFactor’s July 29th (the most recent read on the probe card cycle)
6. AI networking
NVIDIA, Broadcom, Marvell, Arista Networks
There Is No Such Thing as a ‘CPO Stock’: How the Market Misread SemiAnalysis (why the CPO trade does not map to one ticker)
The Optical Axis Alone Won’t Show It: Redrawing CPO Across Three Budgets, Energy, Heat, and Reach (the networking problem redrawn as three budgets)
Mapping the AI Landscape with Light: How OCS Transforms the Data Center Physical Layer (optical circuit switching at the physical layer)
7. Optical transceivers / optical engines
$COHR, $LITE, $AAOI, Innolight
DSP, LPO, NPO, CPO: The Four Optical Architectures and the Light Source Beneath Them All (start here: the four architectures, plainly)
Lumentum’s First $1B Quarter: FQ4 2026 Earnings Analysis (what a $1B optics quarter is actually made of)
Five Days After Innolight’s $6.8B: The FCC Ban Draft and the AI Optical Module Supply Chain (the China module supply chain under export pressure)
8. InP / lasers
Lumentum, Coherent, $AXTI, Sumitomo Electric
AXT and Lumentum’s Prepayment Deal: The InP Substrate LTA Chain (substrate scarcity written into a contract)
Coherent FQ4 2026: InP Capacity, CPO/NPO Content, and CapEx Return (capacity additions read off the capex line)
The AI Light Source War Is Not a Speed Race: InP, VCSEL, and μLED Are Buying Different Distances (three light sources, three reach budgets)
9. Silicon photonics / CPO
Marvell, Broadcom, Intel, TSMC, $TSEM, $GFS
[PC101] Lecture 1: Why ‘Silicon Photonics’ Now? (The Next Fabless Revolution) (the entry point, no prior optics needed)
[OFC 2026] Part 1 of 5: 300mm SiPh Foundry: Who Is Actually Ready? (foundry readiness, measured rather than claimed)
The More Silicon Wins, the More InP Sells: Why UMC and Tower Both Expanded 300mm on the Same Day (the silicon and InP volumes move together)
10. Optical fiber / connectivity
$GLW, Fujikura, Furukawa Electric, Sumitomo Electric
InP Makes the Light. Fiber Carries It: Same Cycle, Different Bottleneck (two bottlenecks in one cycle, priced differently)
Coherent, Lumentum, Marvell, and Now Corning: NVIDIA’s 4 Photonics Bets and the Path of Light (where Corning entered the NVIDIA stack)
[OFC 2026] Part 5 of 5: Hollow-Core Fiber and Next-Gen Transmission: Beyond the Loss Record (what comes after the loss record)
11. Networking systems / DCI
Arista Networks, Cisco, Nokia, $CIEN
Down 40%, 40%, and 14% in Six Weeks: What the Ciena, Nokia, and Cisco Correction Priced In (what the correction actually priced)
One Layer Below SemiAnalysis’s Meta Map: Scale-Across Is Coherent, Not CPO (scale-across belongs to coherent optics)
[OFC 2026] Part 4 of 5: 400G/Lane and 1.6T Coherent: Two Fronts, One Power Wall (two roadmaps hitting the same power ceiling)
12. High-density power conversion
$VICR, Monolithic Power Systems
P = I²R: The One-Line Equation Shaping AI Infrastructure and Vicor’s ($VICR) VPD (one equation behind the whole power layer)
The Last 1.5mm of AI Power: Three Numbers from Vicor’s Q1 2026 Earnings Call (vertical power delivery, checked against results)
Two articles here, not three. The archive is thin on this layer.
13. Datacenter power infrastructure
Vertiv, Eaton
No dedicated article yet. Nearest coverage:
The Optical Axis Alone Won’t Show It: Redrawing CPO Across Three Budgets, Energy, Heat, and Reach (800V HVDC and rack-level power distribution)
The GPU Repricing Cycle and Q2 Hyperscaler Earnings: Which Hardware Layer the Capex Flows To (where the capex lands once it leaves the GPU line)
14. Cooling
Vertiv, Modine, Schneider Electric
No dedicated article yet. Nearest coverage:
The Optical Axis Alone Won’t Show It: Redrawing CPO Across Three Budgets, Energy, Heat, and Reach (the thermal budget, treated as a first-class constraint)
15. Grid infrastructure
GE Vernova, Eaton, Quanta Services
No dedicated article yet. Nearest coverage:
The Nuclear Cycle AI Data Centers Revived: 13 Listed Companies Beyond Constellation and Cameco (grid capacity as the binding constraint on siting)
16. Power generation
GE Vernova, Siemens Energy, Constellation Energy, Vistra, Cameco
The Nuclear Cycle AI Data Centers Revived: 13 Listed Companies Beyond Constellation and Cameco (the full nuclear chain, not just the two obvious names)
AIDC on Ground, Starlink in Space: Perovskite’s Dual Frontier (the same cell technology on two very different frontiers)
17. Datacenter construction
Quanta Services, EMCOR, Comfort Systems
Coverage gap. No PhotonCap article sits on this layer.
18. Datacenter / powered land
Equinix, Digital Realty, hyperscalers
The Real Beneficiaries of Azure +40%, AWS +28%, GCP +63%: The Hardware Supply Chain Map Behind $580B in Cloud Capex (cloud capex traced down to hardware line items)
The GPU Repricing Cycle and Q2 Hyperscaler Earnings: Which Hardware Layer the Capex Flows To (the most recent read on hyperscaler spending)
SpaceX’s First Earnings Report: Revisiting the S-1, and the Hardware Value Chain Behind 10GW (10GW of orbital compute as an alternative to powered land)
19. Storage / memory disaggregation
Marvell, Micron, $SNDK, CXL ecosystem
HBF (High Bandwidth Flash) and Optics: The Missing Link in AI Infrastructure (where flash and optics meet)
Beside, Above, or Beyond: The AI Memory Capacity Race and Where Optics Fits (three placements for capacity, one of them optical)
The More Anthropic Buys Micron HBM, the Faster Optical Memory Pooling Arrives (pooling as the consequence of buying more HBM)
Across the whole chain
Cycles outside this map
LEO and satellite optical links: [Investment Map] 26 Companies in the LEO Satellite Cycle: From Deployment to Service
Defense and humanoid: [Investment Map] 20 Companies in the Humanoid Cycle: From Rare Earth Magnets to Vision Language Action
This is the most complete version of this map I've seen - the layer numbering does real work, forcing the question of where the constraint actually sits rather than where the interesting silicon is.
Saw your note about how little you've written on the power layer. One data point for sixteen if it's useful: GE Vernova's gas turbine backlog and slot reservations went from 100 to 116 GW in a single quarter, 63 GW of that in paid reservations, and Strazik said in July they're booking deliveries into 2031.