Remaneta Contact
RM-1 · serving

Production agent fleets

The first full implementation of the architecture, aimed at resident-session capacity for agentic inference. Its flagship metric is how many live agents a rack holds inside a wake objective, rather than peak token throughput.

Used for: customer-facing assistants, coding agents, research and analysis agents, and workflow automation, at fleet scale.

Architecture and microarchitecture defined
RM-T · training

Rollout-heavy post-training

The same orchestrator and memory-I/O blocks, with dense compute and an optional high-bandwidth memory interface in place of the flash tier. Hardware session fork and bit-exact determinism apply directly to rollout trees.

Used for: reinforcement learning after pre-training, preference optimisation, and agentic self-play.

Numerics studied
RM-E · edge

Assistants that remember across days

A single system-on-chip carrying a reduced lifecycle state set, with on-package memory and non-volatile storage, so a session survives a power cycle without recomputation.

Used for: phone and home assistants, robots resuming interrupted tasks, and vehicles keeping driver context across ignition cycles.

Concept
Profile-E · licensable core

Session semantics in someone else's silicon

A subset of the instruction and interface architecture, delivered as an IP block rather than a part. Compliance is enforced in the compiler from the first day, so software written for the largest part runs on the smallest one.

Used for: handset and device SoC vendors adding persistent assistant memory, and accelerator vendors wanting session semantics on a shared compiler target.

Definition
RM-G · generation

Long-form generative video

Dense compute alongside a dedicated encode and variational-autoencoder block, over the same memory tiers, so scene and character state persists across a sequence rather than being regenerated per shot.

Used for: generative video platforms and studios. Scope is demand-gated and deliberately unscheduled.

Concept · demand-gated
RM-W · wafer-scale

Sovereign and national-scale serving

The dense compute block tiled across a wafer, with edge dies carrying the orchestrator and memory interfaces. Listed for completeness of the architecture's reach rather than as a near-term plan.

Used for: national laboratories and sovereign AI programmes serving a very large single model.

Structurally deferred

Designations are internal programme names. No product is available for sale, and nothing here is a specification, datasheet or offer to supply. Diagrams are schematic representations of the design, not layouts.

Design objectives

What an operator would get

Objectives the architecture is designed against: targets for a system in development, not specifications of an available product.

Capacity measured in agents

Resident sessions per dollar inside a wake objective, not tokens emitted in a burst.

Idle that costs almost nothing

A quiet session falls to cheaper memory automatically, compresses on the way, and returns before anyone notices it left.

No recompute on return

Restoring context should not mean re-running prefill. State comes back as state.

Encrypted the moment it sleeps

State is encrypted under a per-session key as a side effect of leaving the active tier.

Deterministic and auditable

Lifecycle transitions are journaled in a hash chain and can be replayed and verified.

Sharing without copying

Prompts, schemas and documents held once and computed against in place.