● Early Access — v1.0 Protocol-Driven 5-Tier Licensing

QuantumOS v1
AI Compute, Redefined

Cut energy consumption by 70% for large language model workloads. A quantum-inspired operating layer that makes AI infrastructure sustainable at scale.

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Core Technology

Protocol Architecture

Three interlocking layers form the QuantumOS protocol stack — each independently auditable, collectively unstoppable.

⚡

QuantumScheduler

Dynamically routes LLM inference across heterogeneous compute nodes. Optimizes for energy per token — not tokens per second. Cuts GPU utilization waste by up to 70%.

Energy-Efficient

📡

HyperPipeline

Zero-copy data plane with speculative decoding pipelines. Processes context windows up to 128K tokens with sub-100ms latency at 5× throughput versus naive batching.

High-Throughput

🔗

AdaptiveMesh

Self-healing distributed mesh that redistributes workloads across nodes in real time. Handles node failure without latency spike or re-queue delay.

Fault-Tolerant

Data Protocol

DJSON Spec

Deterministic JSON — schema-validated, version-stamped JSON with deterministic serialization for cross-node reproducibility. Every payload carries its own schema version, eliminating cross-node parsing ambiguity.

// Example DJSON payload

{
  "schema": "quantumos.v1",
  "version": "1.0.3",
  "node_id": "node-7f3a2",
  "energy_budget": 127.4,
  "tokens_scheduled": 284710,
  "compute_metadata": {
    "gpu_util": 0.71,
    "idle_power_watts": 12.3
  }
}

Fields

schema, version, node_id, energy_budget, tokens_scheduled, compute_metadata, checksum

Constraints

UTF-8 required, no trailing commas, numeric values must be finite floats, checksum字段采用SHA-256

Versioning

SemVer 1.0.x payloads are backwards-compatible; major version bump signals schema breaking change

Energy-Aware Scheduling

Energy Protocol

Token-level energy budgeting, idle node power-gating, and inference heat mapping work in concert to eliminate waste at every layer of the stack.

🟢

GPU Utilization

70%↓

vs naive batching baseline

⚡

Idle Power Draw

80%↓

via proactive node power-gating

📊

Token Efficiency

5×↑

per watt-hour versus CPU-only

Licensing Ladder

Five Tiers, One Vision

From open research to full enterprise deployment — every tier ships the same core protocol, just at different scales and support tiers.

Research

$0 /mo

Single-node, non-commercial use. Full protocol access. Community support.

Open Source

Starter

$99 /mo

5-node cluster. Commercial use. Email support. Up to 10K inference hours/mo.

Startup

Pro

$499 /mo

25-node cluster. Priority scheduling. SLA 99.9%. Dedicated Slack channel. 500K inference hours/mo.

Most Popular

Scale

$1,999 /mo

100-node cluster. Custom throughput tuning. 99.99% SLA. White-glove onboarding. Unlimited inference.

Scale

Enterprise

Custom

Unlimited nodes. Private protocol deployment. Custom SLAs. Dedicated engineering support. On-premises option.

Enterprise

Attribute	Type	Range	Description
QuantumScheduler	string	scheduler.v1 – vN	Energy-aware inference routing engine. Schedules tokens across heterogeneous compute nodes, optimizing for energy-per-token ratio.
HyperPipeline	string	pipeline.v1 – vN	Zero-copy speculative decoding pipeline. Supports context windows up to 128K tokens with sub-100ms latency at 5× throughput vs naive batching.
AdaptiveMesh	string	mesh.v1 – vN	Self-healing distributed mesh. Real-time workload redistribution on node failure with no re-queue latency spike.

Early Access

Get QuantumOS v1 Access

Join the waitlist for early access pricing, direct feedback channels, and priority onboarding when v1 ships.