Powering the U.S. industrial base
Air-gapped compute for American defense
BayMachines deploys and supports on-prem GPU systems for defense teams to run and fine-tune AI locally.
Built to support
- ITAR
- NIST800-171
- DFARS7012
Products
From a single system to private AI clusters.
Desk-side system
AI Box
One unit beside the workstation. Local inference for a single team, built on NVIDIA DGX Spark.
Rack-mounted server
GPU Server
Multi-GPU in a rack. Production inference and fine-tuning for a facility.
Rack-scale
Private Cluster
Several servers run as one pool. Shared capacity across programs and enclaves.
Platform
One platform, from evaluation to production.
Meta Llama
OpenAI
Mistral
NVIDIA
Evaluate models against program workloads, deploy them locally, and manage prompt routing and usage from one platform.
Why BayMachines
Built to run where the data already is.
Delivered and configured
BayMachines sizes the hardware, configures the models, runtime, and networking, and installs the system on site.
Local inference and fine-tuning
Open-weight models run on the facility's own GPUs, and fine-tuning happens on program data without moving it.
Models under direct control
The weights stay on the system, so inference never depends on a third-party API, a provider's usage policy, or an outside service staying online.
On-prem or fully air-gapped
Systems run inside the existing network perimeter, or with no outside connection at all.
Defense deployments
Built for defense environments.
BayMachines systems are designed for deployment in secure facilities, vehicles, vessels, and remote sites. Ruggedized configurations are being developed for heat, dust, vibration, moisture, and program-specific MIL-STD requirements.
Configured in support of NIST SP 800-171 and DFARS 252.204-7012 requirements.
