In the race for Artificial Intelligence supremacy, the spotlight often falls on the "brain"—the GPU. But the "nervous system"—the optical interconnects moving vast oceans of data between those brains—is where the real bottleneck, and the next fortune, lies. From Broadcom’s silicon mastery to the precision assembly lines of Innolight and the strategic neutrality of Singapore, we trace the supply chain that turns light into intelligence.
Introduction: The Tai Seng Hum
Walk down the sweltering pavement of Tai Seng Avenue in Singapore, past the nondescript industrial monoliths, and you will hear it: a low, constant thrum. It is the sound of thousands of cooling fans spinning in unison, the respiratory system of the internet. Inside these windowless fortresses, the air is frigid, and the lights are blinking in a frenzy.
But look closer at the racks. The thick black copper cables of yesteryear are vanishing. In their place are slender, glowing strands of glass—fiber optics. We are witnessing a quiet revolution in infrastructure. For years, Moore’s Law governed the silicon chips processing our data. Now, as we hit the physical limits of electricity, the baton has passed to photonics. The future of AI isn’t just about computing faster; it is about moving light.
The supply chain delivering this capability is a complex, geopolitical web stretching from Santa Clara design labs to Suzhou assembly lines, often pivoting on a tiny red dot on the map: Singapore.
The Architects: Broadcom and Arista
If the AI network is a sprawling metropolis, Broadcom and Arista are its city planners and traffic controllers.
Broadcom acts as the bedrock. While Nvidia dominates the GPU market (the "compute"), Broadcom owns the "connect." Their Tomahawk series of switching chips are the undisputed heavyweights of the industry, capable of shuttling 51.2 terabits of data per second. They are the silicon merchants selling picks and shovels in the gold rush. Broadcom’s strategy is clear: push Ethernet. While Nvidia champions its proprietary InfiniBand technology for AI clusters, Broadcom is betting that the ubiquity and cost-efficiency of Ethernet—supercharged by their Jericho silicon—will eventually win out.
Enter Arista Networks. If Broadcom makes the raw steel, Arista builds the skyscraper. Led by the formidable Jayshree Ullal, Arista has mastered the art of "lossless Ethernet." In the past, dropping a few packets of data was annoying for a YouTube viewer but catastrophic for an AI training run. Arista’s Extensible Operating System (EOS) ensures that thousands of GPUs can talk to each other without stuttering. They are the "Switzerland" of the data center—compatible with everyone, beholden to no single hardware dogma.
The Shift to "Scale-Out"
The industry is moving from "scale-up" (building one giant supercomputer) to "scale-out" (connecting thousands of smaller ones). This requires a network fabric of unimaginable speed. Broadcom and Arista are driving the transition from 400G (gigabits per second) to 800G, and rapidly towards the 1.6T standard required for Nvidia’s next-generation Blackwell chips.
The Couriers: Coherent, Innolight, and Eoptolink
The signal leaves the switch and hits the transceiver—the device that converts electrical electrons into optical photons. This is the domain of the optical supply chain, a sector characterised by fierce competition and intricate cross-border dependencies.
The Materials Master: Coherent
Based in Pennsylvania but with a global footprint, Coherent (formerly II-VI) is the materials scientist of the group. They don't just assemble parts; they grow the crystals (Indium Phosphide) that make the lasers possible. In a world of fragile supply chains, vertical integration is Coherent’s moat. They are currently ramping production of 800G transceivers and are a key partner for Microsoft and Google, who prefer a non-China dependency where possible.
The Assembly Giants: Innolight, Eoptolink, Accelink
Here lies the geopolitical paradox. While the US designs the chips, the actual transceivers—the engines of the internet—are overwhelmingly manufactured in China.
Innolight (Zhongji Innolight): Based in Suzhou, Innolight is the titan of the industry. They are "fabless-ish," meaning they source the chips (often from US firms like Marvell or Broadcom) and lasers, then package them with incredible speed and yield. They are currently the primary supplier for Nvidia’s 800G optical needs.
Eoptolink: The agile challenger. Based in Chengdu, they have rapidly gained market share by being first-to-market with lower-power solutions.
Accelink: The state-owned giant. Slower to move than Innolight, but with massive capacity and deep pockets.
These companies are pioneering LPO (Linear Drive Pluggable Optics). Traditional transceivers use a DSP (Digital Signal Processor) chip to clean up the signal, but DSPs consume immense power—up to 50% of the module's energy. LPO removes the DSP, linking the switch directly to the optics. It’s like removing the traffic lights from a highway; risky, but if the road is straight enough, infinitely faster and cheaper.
The Singapore Lens: The Neutral Node
So, where does Singapore fit into this high-speed, high-stakes game?
1. The "China Plus One" Safe Harbor
As Washington tightens export controls on high-end chips and Beijing responds with its own restrictions, Singapore has emerged as the essential neutral ground. Broadcom, for instance, runs its global distribution hub from Singapore. For companies like Innolight or Eoptolink, setting up manufacturing or logistics arms in Southeast Asia (often coordinated through Singapore HQs) is the only way to hedge against future sanctions.
2. The Power Paradox
Singapore’s Smart Nation initiative hinges on data centers, but the island is power-constrained. The government recently lifted a moratorium on new data centers, but with strict efficiency caps (PUE of 1.3 or lower). This makes technologies like LPO and Silicon Photonics (SiPh) not just "nice to haves," but regulatory necessities. If a data center in Jurong can cut its optical power consumption by 40% using Coherent or Arista’s latest tech, that creates headroom for more GPUs.
3. Advanced Packaging Hub
The next frontier is Co-Packaged Optics (CPO), where the laser is built directly onto the GPU to save energy. This requires advanced semiconductor packaging—a domain where Singapore leads. With major facilities for packaging and testing (including Micron and various OSATs), Singapore is well-positioned to be the place where the optics and the silicon physically merge.
Conclusion & Takeaways
The optical supply chain is no longer a commoditized backwater; it is the critical path for the AI revolution. As models grow larger, the bottleneck shifts from thinking to communicating. The winners will be those who can move data faster, cooler, and cheaper.
Key Practical Takeaways:
Watch the Interconnect: Do not just invest in the GPU (Nvidia); look at the companies connecting them. Broadcom and Arista are the infrastructure plays.
The Power Play: In Singapore’s constrained energy market, technologies that reduce power per bit (LPO, Silicon Photonics) will see faster regulatory approval and adoption.
Geopolitical Hedging: Expect Chinese transceiver giants (Innolight, Eoptolink) to expand their footprint in Southeast Asia/Singapore to bypass "Made in China" tariffs and anxieties.
The 1.6T Transition: The jump from 800G to 1.6T optics is happening faster than expected (2025). Hardware lifecycles are shortening. CIOs planning data center upgrades must account for this rapid obsolescence.
Frequently Asked Questions
What is the difference between InfiniBand and Ethernet for AI networking?
InfiniBand (championed by Nvidia) offers ultra-low latency and lossless data transmission, making it the historical standard for supercomputing. Ethernet (championed by Arista/Broadcom) is more ubiquitous, cost-effective, and easier to manage; recent advancements in "lossless Ethernet" are making it a viable, scalable alternative for AI clusters.
Why are Innolight and Eoptolink critical if they are based in China?
Despite US efforts to decouple, these companies possess the unique manufacturing expertise and yield rates required to mass-produce high-speed optical transceivers (800G/1.6T) at scale. Currently, Western alternatives often lack the volume capacity to meet the explosive demand from US hyperscalers.
What is Silicon Photonics (SiPh) and why does it matter for Singapore?
Silicon Photonics involves manufacturing optical components using standard semiconductor (silicon) processes. It allows for mass production and miniaturization. For Singapore, a hub of semiconductor manufacturing but not traditional optical assembly, SiPh offers a way to capture high-value manufacturing in the optical supply chain.
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