Incredible! I'd been wondering if this was possible. Now the only thing standing in the way of my 4x4090 rig for local LLMs is finding time to build it. With tensor parallelism, this will be both massively cheaper and faster for inference than a H100 SXM. I still don't understand why they went with 6 GPUs for the tinybox. Many things will only function well with 4 or 8 GPUs. It seems like the worst of both worlds now…
We chose 6 because we have 128 PCIe lanes, aka 8 16x ports. We use 1 for NVMe and 1 for networking, leaving 6 for GPUs to connect them in full fabric. If we used 4 GPUs, we'd be wasting PCIe, and if we used 8 there would be no room for external connectivity aside from a few USB3 ports.