Solving Bottlenecks in AI Connectivity
Powering the
World's Fastest
Networks
Next-generation AI infrastructure is being designed around photonic connectivity from the ground up. CloudPhotonix provides the engineering leadership and manufacturing capability to build it — for AI compute clusters, hyperscale data centers, and advanced networks.
About us
We solve connectivity.
The connectivity layer in next-generation AI infrastructure is a photonic engineering problem. Getting it right requires depth across Silicon Photonics, RF ICs, transceiver systems, and network architecture — disciplines that rarely sit in the same room.
CloudPhotonix was founded by veterans who built careers at that intersection. Across 200+ years of combined domain expertise, the founding team has designed, manufactured, and deployed photonic connectivity at the scale the world’s most advanced networks demand.
Photonics
Semiconductors
Engineering
Leadership
Manufacturing
Connectivity
Our Difference
The full photonic stack. In one team.
200+ years of deep domain cross-functional expertise
Silicon Photonics PIC design, RF ICs, transceiver systems, and optical manufacturing — every discipline in one team, delivering photonic connectivity as a single integrated solution rather than a collection of assembled parts.
Scalability
Automated, high-volume manufacturing calibrated to the production timelines AI infrastructure deployments demand.
Network Engineering
Switch-validated across major vendors. Live-traffic burn-in tested. Performance locked before the network goes live.
Innovation
AI Infrastructure
Powering the Advanced Networks
Photonic connectivity solutions across every tier of modern AI and advanced network infrastructure.
AI Compute & Hyperscale Data Centers
AI Compute & Hyperscale Data Centers
Scale-Up
Intra-rack photonic interconnects for AI compute, where GPU-to-GPU bandwidth directly sets the ceiling on model training throughput.
Telecom & 5G Networks
Telecom & 5G Networks
Scale-Out
Enterprise Networks
Enterprise Networks
Scale-Across
Multi-building cluster connectivity where reach, latency, and coherent architecture become the defining engineering variables.
BFSI & Media Networks
BFSI & Media Networks
Advanced Network
Data center to data center, edge compute, and metro network coherent optical at the range and reliability enterprise and carrier networks require.
Our Advantages
Built to outperform
Time to Market
One team. Concept to deployed network.
Time to Market
One team. Concept to deployed network.
PIC design, systems integration, and network deployment under one roof — removing the integration gaps where most photonic projects lose time and performance.
Time to Performance
Designed for your network. Validated in it.
Time to Performance
Designed for your network. Validated in it.
Solutions co-designed across every discipline and co-validated in your network environment — performance is an engineering output, not a procurement assumption.
Time to Revenue
Manufacturing at the speed of AI.
Time to Revenue
Manufacturing at the speed of AI.
Automated, high-volume scalable manufacturing calibrated to the production velocity AI infrastructure timelines actually demand.
Knowledge Hub & Resources
Insights for Network Engineers & Technology Leaders
400G Migration Guide for Hyperscale Data Centers
A comprehensive guide for network engineers planning the transition from 100G to 400G architectures — covering form factors, reach options, power budgets, and cost modelling.
Whitepaper
NDAA Compliance in Optical Networking
How India-origin transceivers simplify compliance for US Federal, DoD, and regulated enterprise procurement …
Whitepaper
Optical Transceiver Reliability: What Telcordia GR-468 Really Means
A technical deep-dive into Telcordia GR-468-CORE qualification — what it tests, why it matters, and how to ev…
Whitepaper
blogs
Deep Dive into Data & Connectivity
Technical Deep-Dive
Technical Deep-Dive
SFP vs SFP+ vs QSFP28 vs QSFP-DD: The Complete Form Factor Guide for 2025
Industry Insight
Industry Insight
The Rise of 400G: What Network Engineers Need to Know Right Now
Explainer
Explainer
Understanding ZR vs LR vs ER vs SR: Choosing the Right Reach for Your...
Scale-Up
Connectivity within the rack for AI data centers. GPU-to-GPU interconnects at 400G and 100G
Scale-Out
Rack-to-rack connectivity in AI data centers. Resilient cluster fabrics at hyperscale throughput.
Scale-Across
Horizontal connectivity scaling in AI data centers. Growth beyond a single building.
Advanced Network
DC-to-DC interconnects, edge compute, and data center to metro network connectivity.