Up to 1 PFLOP
FP4 AI target
Sparse-compute basis
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MIRROR REALM AGENT / OWNER-CONTROLLED COMPUTE
MIRROR REALM V6 / PERSONAL AI COMMAND BOX
Mirror Realm Private Super Agent, AI you truly control.
A portable hardware-software AI node for a private agent, encrypted personal data and distributed storage. It serves the owner first; idle compute or storage joins a collaboration network only after explicit permission.
PRODUCT PROFILE / MIRROR REALM V6 / PERSONAL AI COMMAND BOX
A personal AI command box and an expandable local AI workstation.
Built for individuals, creators, developers, and small professional teams, bringing inference, knowledge, agent workflows, private data, and remote access into one desktop device.
These are reference configurations and product targets based on a GB10-class platform. They do not represent inventory, certification, or final production specifications. Prototype and workload validation are required.
128GB
Unified memory reference
Local models and multimodal tasks
Up to 4TB
Self-encrypting NVMe
Models, vectors, and personal data
20-core Arm
Reference CPU
AI orchestration and general compute
200B / 405B
Model scale reference
Up to 200B on one; 405B on two
10GbE + 200GbE
Network and interconnect
Local access and dual-node link
01 / OWNER FIRST
Not a passive drive. Your private AI operating environment.
Conversations, files, preferences, knowledge and agent memory remain under owner control. The device works independently and connects to approved backup or collaboration services only when permitted.
LOCAL
Owner dedicated
Local models, knowledge and long-term memory run on your device first rather than defaulting to a public cloud.
PORTABLE
Moves with you
Built for desk, travel and home use, carrying the owner's identity and agent environment between locations.
OWNER CONTROL
Permission by design
Compute, storage, sync and third-party tasks are authorized separately. Sharing is off by default and revocable.
02 / PRIVATE STACK
One device, four layers of private AI.
Each layer has an independent boundary. Cloud services handle only owner-approved backup, recovery and collaboration tasks.
- 01
Trusted device
Secure boot, device keys, encrypted storage and hardware identity establish a local root of trust.
Device identity is not the same as user identity
- 02
Local data vault
Files, media, preferences and agent memory are separated by space and processed locally first.
The owner controls classification, retention and export
- 03
Private AI runtime
Conversation, retrieval, automation and multimodal tasks run locally; approved external models are optional.
Capability depends on validated hardware and model versions
- 04
Controlled interface
Backup, metering and Seagull Base connectivity pass through permission, isolation and audit controls.
Platform access depends on released APIs and compliance review
WORKLOADS / LOCAL FIRST
From development to deployment, built around a personal workflow.
Prototyping, fine-tuning, local inference, data science, and a private assistant share one environment without sending personal data to a public cloud by default.
Prototyping
Validate agents, RAG, and multimodal interactions locally.
Fine-tuning
Optimize domain models with owner-controlled data.
Local inference
Keep a private agent available on the device.
Data science
Analyze and experiment inside a controlled workspace.
SCALE OUT / VALIDATED TOPOLOGY
One for the owner. Two to four when the workload grows.
Two systems can interconnect for larger models. Three or four require a validated network topology and distributed software. Adding nodes does not automatically create one shared memory pool.
1 node
Private agent, local inference, and knowledge
2 nodes
High-speed link for up-to-405B model scenarios
4 nodes
Theoretical aggregate up to 4 PFLOPS / 512GB
Four-node figures are theoretical reference-spec aggregates, not application-performance promises. Networking, cables, libraries, and model parallelism require validation.
03 / OPERATING MODES
Serve yourself first. Then choose whether to share.
The three modes are independent. Owners can use private mode only or define conditions for network, battery and time.
01Default on
Private agent
Compute, storage and data serve the owner for assistance, creation, knowledge, automation and family memory.
No outside workloads
02On demand
Personal backup
Encrypted data uses fragmentation and redundancy for recovery across approved nodes.
Keys are not uploaded with plaintext data
03Explicit opt-in
Resource collaboration
Idle resources accept constrained tasks only within temperature, power and network policies.
Metered, pausable and revocable
04 / PRIVACY & RECOVERY
A lost device should not mean lost privacy.
The goal is to prevent direct unauthorized reading and give the owner lock, revoke and recovery controls. Security requires threat modeling, penetration testing and production validation.
Trusted boot
Verify firmware, system and runtime integrity before personal data becomes available.
Encryption at rest
Protect user data with device-bound keys and optional owner credentials for sensitive spaces.
Loss response
Remote lock, certificate revocation, session expiry and recovery policies execute when connectivity returns.
Workload isolation
External tasks cannot access personal files, memory, camera or microphone by default.
Minimal egress
Send only data required for a task, with local redaction or feature extraction where possible.
Visible audit
Show which resource was used, when, by whom and whether data left the device.
05 / SEAGULL BASE
Seagull Base exchanges resource rights, not ownership of personal data.
Seagull Base is a planned collaboration interface for identity, tasks, metering and settlement. Connecting a node never opens its personal data vault.
- 01
Permission
The owner selects resource type, schedule, cap and minimum reserve.
- 02
Isolation
Only verified task containers or storage fragments arrive, without personal-vault access.
- 03
Metering
Record verifiable compute time, capacity, network use and completion state.
- 04
Settlement
Create usage records under platform rules; pricing, tax and settlement depend on released services.
This page defines product direction and interface boundaries. It is not a claim of a live public exchange, guaranteed income or a financial product.
Distributed compute continues as two distinct product lines.
PERSONAL / OWNER FIRST
Mirror Realm Private Super Agent
For individuals and families: device, private runtime, migration, recovery and resource permissions.
INFRASTRUCTURE / PROJECT DELIVERY
Compute center construction
For governments, campuses and enterprises: national centers, regional nodes, distributed systems and custom engineering.
Start with device requirements and privacy boundaries.
Share the users, scenarios, local models, capacity, connectivity and sharing rules. We will translate them into a prototype and system plan.