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Sized to run Kimi K2.6 as cheaply as honestly possible — exactly enough memory, nothing wasted.

The memory math, shown:
1000B params × 1 GB = 1,000 GB  +  20% working roomiExtra memory on top of the raw model weights, reserved for what a model needs while actually generating text — things like the KV cache and activation buffers. Real deployments almost never fit with zero headroom.  =  1,200.0 GB required
8x H100 SXM server

2x 8x H100 SXM server

Built on the SXMiA physical GPU form factor used in datacenter servers, built for maximum power and NVLink bandwidth — different from the PCIe card format used in desktops and workstations. GPU form factor.
Combined memory
1,280 GB
Combined price
$500,000
Combined power
11,200 W
Power, in real terms: about 9.3x an average home's continuous draw. Run flat-out for a day, it would use about 269 kWh — roughly 3.0x the capacity of an electric car battery, every 24 hours.
This is a cluster — 2 machines acting as one.

A "cluster" means multiple computers wired together and coordinated so they behave like a single, bigger machine. This build combines 2x 8x H100 SXM server units to reach 1,280 GB of memory.

Real deal vs. just plugging in cards: the 8 GPUs inside each server are already wired together with NVLinkiNVIDIA's high-speed direct connection between GPUs in the same server — much faster than a normal PCIe slot connection, so the GPUs can share memory and work almost as if they were one big GPU. for near-instant memory sharing. Linking multiple whole servers into a cluster also needs InfiniBandiA high-speed networking technology used to connect separate servers together in a datacenter cluster — the equivalent of NVLink, but between whole machines instead of GPUs on one board. networking between them — dedicated high-speed cabling and switches. That's a different world from plugging several desktop cards into one PC over ordinary PCIe: technically possible, but far slower for a single large model, and not something a datacenter would actually do at this scale. This price also doesn't include the extra networking gear a real cluster needs on top of the machines themselves.

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