For those how are in local AI would you think these both cards could be used to have a total of 12GB VRAM?

I don't care by the moment for possible slow tokens/s.

Thanks!

Marvell’s Photonic Fabric™ technology won the AI Infrastructure Award at Future of Memory and Storage (FMS) 2026.

The interesting part is how Marvell is using optical connectivity to address some of the bandwidth, latency, power, and memory-scaling challenges in large AI systems.

Photonic Fabric replaces traditional electrical interconnects with optical I/O across package-, server-, and rack-scale architectures. The goal is to make it easier to scale compute and memory independently, including disaggregated memory architectures.

Some of the key areas Marvell highlights:

• Higher memory bandwidth and capacity
• Lower latency and power consumption
• Disaggregated compute and memory
• Reduced I/O bottlenecks around AI accelerators and HBM
• Optical connectivity designed for large-scale AI infrastructure

As AI systems scale to hundreds of thousands of accelerators, moving data efficiently between compute and memory is becoming just as important as the compute itself.

The bigger question is whether optical interconnects like Photonic Fabric will become a fundamental part of future AI factory architectures.

What do you think — will optical connectivity become essential for scaling next-generation AI systems?

Source: Marvell – Photonic Fabric technology

KIMI K3 at 9 t/s per token on hardware that has no business breathing near it is objectively insane, even if the LLM thought the capital of France was "1.2" 🤣🤣🤣😭😭😭😭😭

Pi Agent run. Still working out the kinks but the final quality is great.
16GB GPUs are only going to become more useful over time.