Own 1 · Personal AI Computer

Fast at your desk.
Global when it counts.

A silent, AI-optimized computer that runs open models locally, keeps your data on device by default, and extends to OwnCloud when a workload needs the world’s compute.

$2,999

Starting price

Near-zero

AI running cost

OwnCloud

Cloud on tap

Overview

A personal computer built around local intelligence.

Own 1 is designed to run open language, vision and voice models on your desk — with on-device privacy, AI-native security, native agents, a machine wallet and a direct path to OwnCloud when a workload needs more.

01

Local-first

Models, agents and data stay on device by default.

02

AI-optimized

Silent thermals tuned for continuous inference.

03

Hybrid

OwnCloud on tap when a workload needs global compute.

04

Ownable

Rollback recovery, open software, no forced services.

Your model. Your data. Your machine.

Own 1 · Personal AI Computer

Fast at your desk. Global when it counts.

A silent, AI-optimized computer that runs open models locally, keeps your data on device by default, and extends to OwnCloud when a workload needs the world’s compute.

$2,999

Starting price

Near-zero

AI running cost

OwnCloud

Cloud on tap

See benchmarks
Own 1 personal AI computer, three-quarter view

Market position

See where Own 1 sits in the market — before you learn about the product.

A category snapshot against Mac mini, premium mini PCs and DGX-class workstations. Every advantage below maps to a benchmark or spec disclosed lower on this page.

CategoryOwn 1Mac miniPremium Mini PCDGX-Class
Starting Price$2,999Lower$1k–$2.5k$3,999+
AI Running CostNear-zero locallyNear-zero (manual)Near-zero (manual)Near-zero
Cost SavingHighMediumMediumHigh
AI SpeedAI OptimizedStrongStrongHighest
PrivacyLocal-firstDependsDependsLocal
SecurityAI-nativeOS SecurityOS DependentEnterprise
Open Source ModelsManualManual
Stablecoin Payments
Smart Contracts
AI Wallet
AI MarketplaceGeneral AppsNoLimited
Local Model HostingManualManual
AI AgentsManualManualEnterprise
OwnCloud HybridVendor
Offline AIPossiblePossibleYes
Rollback RecoveryStandardOSEnterprise

Estimated · Reference specs and pricing bands, 2026 snapshot

Device specs

Choose your Own 1 — Pro or Max.

Two configurations, one architecture. Pro is tuned for developers and daily AI power users. Max doubles storage and unlocks boost headroom for heavier workloads and long-running agents.

SpecificationOwn 1 ProOwn 1 MaxRecommended
Price$2,999 USD$3,399 USD
PositioningFor AI power users, developers and buildersMaximum capacity for heavier workloads and long-running agents
CPUIntel Core Ultra 9 · 24 coresIntel Core Ultra 9 · 24 cores
Unified RAM128 GB128 GB
NVMe SSD4 TB8 TB
On-device AI99 TOPS99 TOPS + boost
Operating systemOwnXOS · secure enclaveOwnXOS · secure enclave
Warranty3-year warranty · lifetime updates3-year warranty · lifetime updates

Reference · ownx.co/Own1 preorder configuration

Benchmarks

Every benchmark visible. No tabs. Full-width charts.

Nine benchmark groups covering cost saving, text, coding, image, video, speech, voice, music and an overall AI radar. All values are DEMO DATA · NOT MEASURED until the Own 1 launch evidence pack (hardware, model file, hash, quantization, runtime, ten repeated runs, raw JSON) is published.

Benchmark · 01

Cost saving.

Local vs Cloud (monthly)

Modelled monthly cost for a moderate AI workload run locally vs on hosted APIs.

Demo data · Not measured

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Assumes 8h/day AI use · reference workload mix

API savings by workload

Percent saved by running each modality locally on Own 1 vs equivalent hosted API.

Demo data · Not measured

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Modelled at reference API prices

Break-even vs cloud

Months to pay back Own 1 versus equivalent hosted AI subscriptions.

Demo data · Not measured

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Straight-line payback · excludes electricity

Hybrid rule

Local when possible. OwnCloud when it’s cheaper or faster.

Own 1 routes each workload to the cheapest suitable target automatically — on-device first, OwnCloud second, hosted API only if you approve it.

Benchmark · 02

Text & Reasoning.

Tokens per second

Sustained generation throughput on a 13B-class open chat model.

Demo data · Not measured

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Ref hardware · 8-bit quant · median of 10 runs

Time to first token

Latency from prompt submit to first streamed token.

Demo data · Not measured

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Same prompt · warm cache · median of 10 runs

Long-context performance

Maximum usable context window at interactive speed.

Demo data · Not measured

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Interactive threshold ≥ 20 tok/s

Largest supported model

Largest open model that fits in memory at 4-bit.

Demo data · Not measured

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4-bit quant · single-GPU/APU · no offload

Benchmark · 03

Coding.

Repository indexing

Time to index a 50k-file monorepo for local retrieval.

Demo data · Not measured

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Local RAG · cold cache

Code generation

Sustained tokens per second on a 7B code model.

Demo data · Not measured

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Function-completion prompts · median of 10

Bug fixing

Pass rate on a curated bug-fix regression set.

Demo data · Not measured

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Internal bug-fix set · pass@1

HumanEval

pass@1 on the standard HumanEval coding benchmark.

Demo data · Not measured

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Public HumanEval · pass@1

Benchmark · 04

Image generation.

Seconds per image

1024×1024 generation, 30 steps, SDXL-class open model.

Demo data · Not measured

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Same model file · median of 10

Images per hour

Continuous generation throughput at fixed settings.

Demo data · Not measured

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Sustained load · thermal steady state

Batch generation

Maximum simultaneous images at 1024×1024.

Demo data · Not measured

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Single job · no offload

Benchmark · 05

Video generation.

Clip generation time

Time to render a 5-second 720p clip on an open video model.

Demo data · Not measured

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Same model file · same prompt

Memory available

Unified/GPU memory available to the video model.

Demo data · Not measured

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Reference configuration

Energy per clip

Wall-power drawn to render the same 5-second clip.

Demo data · Not measured

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Wall meter · steady state

Benchmark · 06

Speech recognition.

Word error rate

WER on a mixed English test set with an open ASR model.

Demo data · Not measured

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Reference test set · greedy decode

Transcription speed

Real-time factor — 1× is real time, higher is faster than real time.

Demo data · Not measured

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1 hour audio · median of 3

Benchmark · 07

Voice generation.

First audio latency

Time from prompt to first playable audio sample.

Demo data · Not measured

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Streaming TTS · median of 10

Real-time speed

Real-time factor for continuous voice synthesis.

Demo data · Not measured

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Sustained synthesis · steady state

Benchmark · 08

Music generation.

Generation time

Time to render a 30-second music clip on an open music model.

Demo data · Not measured

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Same seed · same prompt

Tracks per hour

Sustained 30-second track throughput per hour.

Demo data · Not measured

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Continuous load · thermal steady state

Benchmark · 09

Overall AI radar.

TextCodingImageVideoSpeechVoiceMusicCost

Own 1 · Composite AI score

0/10

Text8.6
Coding8.2
Image8.8
Video7.9
Speech9.1
Voice8.7
Music8.0
Cost9.4

Composite of the seven benchmark groups above plus cost efficiency. Each axis normalized to a 0–10 scale against the same reference set.

Own 1

Own your model. Own your data. Own your machine.