AI inference
where you need it.
Models too big for your hardware. Remote sites with no cloud. We make it run.
[ Platform ]
One platform. Every environment.
One install. Any hardware. Any network. We show up and make it work.
Runs on any hardware
GPU, CPU, TPU, or mixed. Runtime probes the box and configures itself for what is there. A CPU-only field server, a single Jetson at a ground station, or a rack of H100s in a SCIF. Same install, same API.
Deploys to any environment
Cloud, on-prem, edge, air-gapped, or fully disconnected. Install over a clean network or an empty one. Same Runtime. Same Hub. Same API.
Stays on your side of the wire
Your data never leaves your network. Zero egress on Pro and Enterprise. No metered tokens. Prompts, responses, weights, and traces stay on the hardware you installed on, from a ground station on a disconnected network to a SCIF behind an air-gap.
[ Runtime ]
Runtime manages the model on your hardware.
Probes the box, picks the engine, tiers memory across what you have, and serves an OpenAI-compatible API. One install. Any hardware.
Tiered memory orchestration
Model weights and cache move across the memory on your machine, whether that is GPU, CPU, or disk. Large models run on hardware that would not normally hold them.
Picks the engine for you
Runtime wraps llama.cpp, vLLM, TensorRT-LLM, and whatever ships next. You pick the model. Runtime picks the engine. When a faster one arrives, you inherit it without rewriting a single line.
OpenAI-compatible API
Drop-in for the OpenAI endpoint. Point existing software at a local URL instead of api.openai.com. Embeddings, classification, extraction, retrieval, tool-calls, and yes chat. The model runs where the data is.
Llama-3-70B-Q4_K_M
Backend Selection
AutoMemory Hierarchy
PASSVRAM (Tier 1)
16.8 / 24 GB
RAM (Tier 2)
42.3 / 64 GB
SSD Cache (Tier 3)
128 / 512 GB
Serving
localhost:8088/v1/chat/completions Throughput
7.8 tok/s
Latency
118 ms
OOM Events
0
Uptime
0s
Nodes
4
Serving
3
Fleet Uptime
99.9%
OOM Events
0
Active Deployments
ground-station-08
Svalbard, NorwayVRAM
16.8/24
tok/s
7.8
Uptime
22d
ops-center-03
Edwards AFB, CAVRAM
5.2/16
tok/s
24.1
Uptime
8d
rig-platform-11
North Sea, OffshoreVRAM
6.1/8
tok/s
18.6
Uptime
45d
datacenter-sg-02
Singapore, APAC WarmingVRAM
--
tok/s
--
Uptime
0s
Activity
[ Hub ]
Hub operates the fleet from one place.
One control plane for every Runtime. Deploy, monitor, and manage across your entire fleet from a single interface. No SSH. No spreadsheets.
Live fleet view
Every node, every model, every region. GPU, memory, throughput, latency, and power, refreshed every second. Thirty days of history by default.
Deploy, hot-swap, rollback
Push a model to one machine or the whole fleet. Canary nodes, health checks, automatic rollback on failure. No SSH into individual machines.
Every action logged, nothing stored
Every deploy, rollback, and policy change logged against the user who did it. Prompt and response content is never captured. Exports for your security team, not ours.
[ Engineers ]
Engineers who come to your site.
When a site needs hands on, our forward-deployed engineers audit the hardware, install the platform, benchmark on site, and harden it for production. We embed, ship, and leave when it runs.
Audit and install
Remote or on-site review of the hardware, network, and constraints. The deployment plan is written and signed off before anything is installed.
Benchmarks on your hardware
Throughput, latency, and cost measured on your actual hardware. Exportable scorecards. Production-grade proof.
Hardened for your environment
Air-gapped, classified, regulated. Supervisor restart, secrets management, and network posture locked in for your security regime before we leave.
Svalbard Deployment
In ProgressDeployment Progress
Phase 1 of 5
Audit
Install
Benchmark
Harden
Live
Hardware Audit
Phase 1[ Capabilities ]
What the platform does.
Single-node and developer use is open. Fleet operations, identity, air-gapped postures, and forward-deployed install are scoped per deployment with our team.
Talk to the teamFig 1.1
Offline and air-gapped
Zero outbound calls. No license pings. No phone-home. Install over any medium, run on an empty network, and keep running when the satcom link drops.
Fig 1.2
Fleet control plane
Deploy, monitor, hot-swap, and roll back every node from one place. Canary to the fleet, rollback on failure. No SSH into individual machines.
Fig 1.3
Built for regulated environments
ITAR-aware. Deployable into classified facilities and sovereign postures. Engineers install and harden on site, inside your perimeter, to your security regime.
Fig 1.4
OpenAI-compatible API
Drop-in for the OpenAI endpoint. Point existing software at a local URL instead of api.openai.com. Embeddings, classification, extraction, retrieval, tool-calls, and chat.
Fig 1.5
Identity and audit
SAML and OIDC out of the box. Hub roles map to your IdP groups. Every action is logged. Prompt and response content is never collected.
Fig 1.6
Tiered memory orchestration
Weights and cache move across the memory you have, whether that is GPU, CPU, or disk. Large models run on hardware that would not normally hold them.
Hardware Agnostic
Any GPU, any backend, any model, anywhere.
Hardware Platforms
Inference Backends
Run it on your own hardware.
Bring in our forward-deployed engineers, or install it yourself. Either way it runs on your hardware, in your network, on your terms.