Artificial Systems

Two machines. One principle. The AI you run should sit on your desk, owned by you, in hardware built for it.

FORGE£3,399
FORGE, the personal AI system in a customised aluminium case
FOUNDRY£16,499
FOUNDRY, two GB10 nodes in the fan cooled enclosure
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FORGE

£3,399 INC VAT

32GB of fast VRAM, Qwen 3.8 27B pre installed, and a Quick Start USB to get you up and running. Built for those who want to own their AI usage.

32GBDEDICATED GDDR6
640GB/sMEMORY BANDWIDTH
AMD R9700RADEON AI PRO
EASY SET UPQUICK START USB INCLUDED
FORGE · BENCHMARK SCORES · AVERAGE TOKENS PER SECOND QWEN 3.8 27B SINGLE STREAM 0 0 50 100 150 AVERAGE TOKENS PER SECOND
FORGE, customised aluminium case with mesh airflow panelProduct image is a render for illustration

The power of Qwen 3.8 27B.

Coding, agentic work and repo-level generation, scored against Muse Glimmer and Opus 4.6 Max. Scores are as published by the model vendors.

Green is Qwen 3.8 27B, the model running on FORGE. Muse Glimmer and Opus 4.6 Max are shown for comparison.

Terminal Bench 2.173.051.778.2
Qwen 3.8 Muse Glimmer Opus 4.6
SWE-bench Pro61.751.253.4
Qwen 3.8 Muse Glimmer Opus 4.6
QwenSWEBench79.063.8
Qwen 3.8 Opus 4.6
NL2Repo-Bench42.347.6
Qwen 3.8 Opus 4.6
0255075100

Higher is better, scores out of 100. Muse Glimmer has no published score for QwenSWEBench or NL2Repo-Bench.

Qwen3.8-27B Model Card (Hugging Face)

FOUNDRY

£16,499 INC VAT

Private AI infrastructure suitable for enthusiasts or a team. Two GB10 nodes in a purpose built, fan cooled enclosure, assembled and pre configured with DeepSeek V4.1 Flash 1017. Built for those who want serious performance on their network.

256GBUNIFIED MEMORY
2× GB10INTERCONNECTED NODES
8TBNVME STORAGE
FAN COOLEDENCLOSURE INCLUDED
FOUNDRY · BENCHMARK SCORES · AVERAGE TOKENS PER SECOND DEEPSEEK V4.1 FLASH SINGLE STREAM DEEPSEEK V4.1 FLASH FOUR STREAMS 0 0 0 50 100 150 AVERAGE TOKENS PER SECOND
FOUNDRY, two GB10 nodes in the fan cooled enclosureProduct image is a render for illustration

Who knew frontier performance could fit in a box.

75 average tokens per second on a single stream, 130 across four. Benchmark scores below are as published by the model vendors, against Opus 5.

Green is DeepSeek V4.1 Flash 1017, the model running on FOUNDRY. Opus 5 is shown for comparison.

FOUNDRY · AVERAGE75tok/s
OPUS 5 · MEDIAN OVER API62.7tok/s
+20%
DeepSWE v1.177.074.0
DeepSeek V4.1 Flash Opus 5
Automation-Bench v1.0.660.550.3
DeepSeek V4.1 Flash Opus 5
Apex Bench v1.172.165.8
DeepSeek V4.1 Flash Opus 5
Terminal-Bench 4.042.351.8
DeepSeek V4.1 Flash Opus 5
0255075100

Higher is better, scores out of 100. V4.1-Flash-1017 leads Opus 5 on three of these four tests.

DeepSeek-V4.1-Flash-1017 Model Card (Hugging Face)
Claude Opus 5 62.7tok/s median based on 16,708 Claude Code turns (AgentsRoom)

Your laptop is the workspace.
The appliance is the intelligence.

Models launch with the press of a button. The appliance sits on your network, so you connect into it from your own machine and work with the tools you already use.

01

Controlled with your machine

Start, stop and switch models from your computer.

02

One endpoint, your network

Our appliance is part of your network and accessed through a single endpoint. Point Claude Code, Codex, Hermes or your own tooling at it and work.

03

Your data is yours

We just sell the machine. No telemetry to us, no cloud dependency. Read how we handle data.

COMPATIBLE WITH
Hermes AgentRecommended Claude Code Codex DeepSeek Harness VSCode OpenCode

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