Built for what you
actually run.
We spec, build, and support custom servers and workstations engineered for your exact workflow. From AI/ML inference rigs to high-density storage arrays, every component earns its place.
Start With Your Workload
Every system we build starts here. Pick your use case and we'll match it to the right hardware profile.
What We Build
Purpose-built systems for real workloads. No off-the-shelf shortcuts, no performance compromises.
Workstations
High-performance desktop systems built for creators, engineers, and developers who demand absolute stability and throughput.
- AMD Ryzen / Intel Core i9 / Xeon W
- NVIDIA RTX / AMD / Intel Arc GPUs
- Up to 128 GB ECC RAM
- NVMe RAID for DAW and render pipelines
Servers
Rack or tower servers optimized for your specific workload. VM hosting, AI inference, or GPU cluster.
- AMD EPYC / Intel Xeon Scalable
- Proxmox, TrueNAS, or bare metal
- NVIDIA RTX / AMD Instinct for AI inference
- Hot-swap bays, IPMI / iDRAC remote management
Storage
NAS and DAS arrays engineered for enterprise-grade data management. Expandable, redundant, and built to protect what matters most.
- TrueNAS SCALE
- ZFS RAID-Z2/Z3 configurations
- SSD cache with HDD capacity tiers
- Scalable from 20 TB to petabyte range
Our Process
From first consultation to ongoing support, every step is clear, documented, and accountable.
Consult
Tell us your software stack, workflow requirements, and daily use patterns.
Spec
We recommend optimized components backed by real-world benchmarks for your specific applications.
Build
Assembled, stress-tested, and fully configured before it ever leaves our hands.
Deploy
Delivered, racked, cabled, and integrated into your existing environment.
Support
Ongoing managed support available — OS updates, monitoring, and hardware replacement.
Request a Spec Review
Tell us what you run and we'll send back a tailored hardware specification. No commitment required.
What are you building for?
Select your primary workflow to get started.
Ready to Build?
Let's talk through your workload and put together the right system for your team.