AI where the cloud can't reach.

AI inference on your own hardware. From orbit to ground station to server room.

Talk to the team

Mission Control

Built by engineers who've worked on the world's hardest problems

Intel Qualcomm Morgan Stanley Schneider Electric Macquarie Caterpillar Cyient

Not another cloud inference platform. We run large AI models on hardware that shouldn't handle them, in environments no one else will touch, backed by engineers who understand your infrastructure.

We help teams run large models, fleet control, and inference on their own hardware where the cloud stops. From install to production in hours.

Fig 0.1

Validate

Your data never leaves

AI inference on your own hardware. Air-gapped, classified, sovereign. Your network, your control, your rules.

Fig 0.2

Abstract complexity

Models that shouldn't fit

Too big for your hardware, running stable. Memory orchestration across every tier of available storage. Zero crashes.

Fig 0.3

Prove at scale

Operational before we leave

Deployed in your environment. Benchmarked, stress-tested, and proven. Our engineers leave. The platform stays.

Runtime

Models that shouldn't run, running.

Runtime probes your hardware, selects the engine, tiers memory across available storage, and validates the fit before anything loads. Stable inference on hardware that was never designed for it.

Preflight validation on your hardware before anything loads

Multi-backend orchestration across llama.cpp, vLLM, and TensorRT-LLM

Runs fully offline. Your data never leaves your network.

See the platform
s88 serve --model Llama-3-70B-Q4_K_M
INITIALIZING

Llama-3-70B-Q4_K_M

GGUF Q4_K_M 70B params
Detected

Backend Selection

Auto
llama.cpp vLLM TensorRT-LLM Triton

Memory Hierarchy

PASS

VRAM (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

Hub

One view of the entire fleet.

Deploy, monitor, and manage every inference node from a single control plane. From one GPU in a ground station to a distributed fleet across multiple sites.

Real-time health and resource monitoring across every node

Model deploy, hot-swap, and rollback, per node or fleet-wide

Benchmark scorecards and compliance audit trails

Find your industry
Sector88 Hub
Live

Nodes

4

Serving

3

Fleet Uptime

99.9%

OOM Events

0

Active Deployments

ground-station-08

Svalbard, Norway
Llama-3-70B llama.cpp
VRAM 16.8/24 tok/s 7.8 22d up

ops-center-03

Edwards AFB, CA
Mistral-7B vLLM
VRAM 5.2/16 tok/s 24.1 8d up

rig-platform-11

North Sea, Offshore
Llama-3-8B llama.cpp
VRAM 6.1/8 tok/s 18.6 45d up

datacenter-sg-02

Singapore, APAC Warming
Qwen2-72B TensorRT-LLM
VRAM -- tok/s -- 0s up

Activity

2m agoModel Llama-3-70B serving on ground-station-08
5m agoPreflight passed on datacenter-sg-02. Loading Qwen2-72B.
18m agoTier swap on rig-platform-11. 2 layers RAM → VRAM.

Engineers

We embed. We ship. We leave.

Our forward-deployed engineers embed with your team, install the platform on your hardware, benchmark it against your workloads, and harden it for your environment. Then they leave. The platform stays.

On-site installation and validation on your hardware

Benchmarking and performance tuning against your workloads

Hardening for regulated, classified, and air-gapped environments

Talk to the team
Sector88 Hub
ENG-2847

Edwards AFB Deployment

In Progress
Site: Edwards AFB, California Hardware: 2x RTX 4090 Network: Air-gapped

Deployment Progress

Phase 1 of 5

Audit

Install

Benchmark

Harden

Live

Hardware Audit

Phase 1
GPU Detection Scanning...
VRAM Available Probing...
Network Policy Checking...

[ Industries ]

For environments the cloud can't reach.

At the perimeter, the well-pad, and the ground station, cloud inference isn't an option. Deploying and updating models into disconnected environments is a quietly underestimated time-sink. Sector88 takes care of it.

Talk to the team

Fig 1.1

New Space & Satellite

New Space & Satellite

Ground stations. On-board compute. Analytics run where the data is. You downlink insights, not raw telemetry. Every byte has a cost.

Fig 1.2

Defence & Intelligence

Defence & Intelligence

Air-gapped networks. Classified facilities. Large models run inside the secure perimeter. Zero egress. Zero tokens metered to an outside vendor.

Fig 1.3

Energy & Utilities

Energy & Utilities

Remote substations. Offshore platforms. Predictive AI on hardware fixed in place for a decade. Runs when the satcom link doesn't.

Fig 1.4

Mining & Resources

Mining & Resources

Underground operations. Fly-in-fly-out sites. Safety and autonomy AI on the hardware already on site. No site upgrade, no satcom dependency.

See every industry we deploy in.

Every sector where AI has to run local.

Explore industries

[ Fleet ]

One platform. Every environment.

Cloud. Edge. On-prem. Air-gapped. You pick the model and the environment. We make it run.

Fleet Ground Stations
Connected

Stations

4

Active Models

3

Fleet Throughput

7.2 tok/s avg

Node Location Model Status
svalbard-gs-01 Svalbard, Norway Llama-3-8B Online
alice-springs-gs-03 Alice Springs, AU Mistral-7B Online
kiruna-gs-07 Kiruna, Sweden Llama-3-70B Online
mcmurdo-gs-02 McMurdo, AQ Phi-3-mini Maintenance
Fleet Throughput Live

Telemetry

Disabled

Egress

Blocked

Updates

Manual Only

Node Classification Model Status
ops-center-east-07 PROTECTED Llama-3-70B Operational
scif-west-02 SECRET Llama-3-70B Operational
analyst-hub-14 PROTECTED CodeLlama-34B Operational
forward-ops-09 RESTRICTED Mistral-7B Standby
security-audit.log
[audit] Network isolation verified: 0 external routes
[audit] Egress rules enforced: all outbound blocked
[audit] Telemetry disabled: no external endpoints
[audit] Model integrity hash: SHA-256 verified
[audit] All policies compliant

Sites Online

3/4

Avg Bandwidth

12 Mbps

Last Sync

2m ago

rig-north-alpha-01 Online
SiteNorth Sea Platform
HardwareT4 16GB
ModelMistral-7B
Bandwidth18 Mbps
substation-delta-4 Online
SitePilbara, WA
HardwareCPU-only
ModelPhi-3-mini
Bandwidth8 Mbps
mine-site-kalgoorlie Online
SiteKalgoorlie, WA
HardwareT4 16GB
ModelLlama-3-8B
Bandwidth14 Mbps
pipeline-mon-07 Offline
SiteTanami, NT
HardwareCPU-only
ModelPhi-3-mini
Bandwidth-- Mbps

Nodes

4

Total VRAM

384 GB

Fleet Uptime

99.8%

dc-east-prod-01 Sydney DC1
Online
VRAM312/320 GB
GPU87%
Power1.2 kW
Model:Llama-3-405B · A100 80GB x4
dc-east-prod-02 Sydney DC1
Online
VRAM308/320 GB
GPU82%
Power1.1 kW
Model:Llama-3-405B · A100 80GB x4
dc-west-staging-03 Perth DC2
Online
VRAM38/48 GB
GPU71%
Power0.6 kW
Model:Llama-3-70B · RTX 4090 x2
dc-east-dev-04 Sydney DC1
Updating
VRAM18/24 GB
GPU--
Power0.3 kW
Model:CodeLlama-34B · RTX 3090 · Pulling model weights...

Edge Nodes

128

Regions

6

Rollout

94%

Deployment Rollout Deploying
Cell Towers: NSW/VIC48/48
Substations: Grid East32/32
5G MEC: Metro24/24
Substations: Grid West16/24
Node Type Model Status
tower-syd-cbd-041 Cell Tower Phi-3-mini Online
sub-grid-east-017 Substation Mistral-7B Online
mec-mel-south-003 5G MEC Llama-3-8B Online
sub-grid-west-019 Substation Mistral-7B Deploying
"As a whole product it brings real value, especially for data scientists. Decreased setup time, a unified API, automatic GPU tuning, and model management are all real strengths."

Laurian Lambda, Systems Architect, AI Sweden

Start building where the cloud ends.

Your hardware. Your network. Your models. Running in hours, not quarters.

Talk to the team