On-premises AI inference, operated as a service.

Two form factors, one software stack.

Build on the portable unit and scale to a cluster without changing your application.

The same managed stack on every unit.

Built on standard, open components. No proprietary runtime to lock you in.

• Inference serving standard HTTP and gRPC endpoints; models compiled for the GPUs they run on.
• Multi-node scheduling add a node and its capacity joins the pool, no reconfiguration.
• Distributed storage fault-tolerant NVMe across nodes, erasure-coded.
• Interconnect low-latency RDMA fabric between nodes.
• Workloads bring your own GPU-aware containers.
• Telemetry GPU, throughput, and health metrics across the fleet.
• Access an out-of-band management link you control, with optional site-to-site VPN.

Open weights, on hardware you own.

• Run open models you control: Llama, DeepSeek, Qwen, Mistral, and others.
• Right-size per workload: 7B to 70B on a single GPU, up to 405B tensor-parallel across four.
• Swap models without application changes; the inference endpoints stay the same.
• Fixed compute cost: you own the hardware, so inference is not metered per token.

We run it. Nothing leaves your building.

• Managed remotely monitoring, security patching, updates, and support.
• Zero data egress all inference runs on-premises, with no third-party API in the path.
• Compliance aligns with PIPEDA and Québec Law 25, supports a SOC 2 posture, maps to NIST AI RMF.
• Hardware NVIDIA-certified components with enterprise warranty.