Servers built for your workload, not the catalog.
Off-the-shelf SKUs solve generic problems. We build servers around your actual workload — virtualization fleets, database tiers, network upgrades, control planes. Hardware spec'd, integrated, debugged, and shipped ready to rack.
Three things we actually do well.
Most "custom server" vendors are resellers with a spec sheet. We've shipped enough live deployments to know where things break and how to design around it.
Common workloads we have proven specs for.
Each of these has a reference design we've shipped multiple times. Starting from a known-good baseline, we tune for your specific load profile.
What we've put into production.
Two recent deployments where compute and networking choices made the difference.
Compute & storage cluster supporting multiple research projects.
Lingxingyu runs a portfolio of active research workloads requiring reliable compute and shared storage. We delivered a custom server fleet covering both general compute nodes and storage nodes feeding the GPU training tier.
Scope: hardware spec'd for mixed CPU/IO workloads, BMC and out-of-band management standardized across the fleet, BIOS and firmware baselined, and integrated with the existing GPU cluster on a unified network fabric.
25G to 100G fabric upgrade — large step-up in storage performance.
39ai's inference cluster was bottlenecked on storage throughput. The 25G fabric originally deployed couldn't keep up with the growing dataset I/O. We led the upgrade to a full 100G inter-rack fabric.
Scope: server NIC refresh (25G → dual-port 100G), top-of-rack switch upgrade, optic and cable plant migration, live cutover with zero data loss, and post-cutover throughput validation. Storage performance climbed substantially after the upgrade.