Validated Performance Data

Real hardware. Real workloads. All results independently reproducible.

AriaOS: Governance Layer

Platform: Jetson AGX Orin 64GB, Apple Silicon M-series, HP ProLiant G8 | Version: v2.5.3 Stable | TRL 6 (self-assessed)

132.6/100 Composite benchmark score (Jetson AGX Orin)
47ms P95 response latency
99.97% Uptime, 800/800 endpoints validated
2,847 RPS Requests per second capacity

Memory Bus Performance

Internal message bus benchmarks, AriaOS governance layer

MetricTargetMeasuredStatus
Message Latency (P50)<1ms0.4msPASS
Message Latency (P95)<5ms2.1msPASS
Throughput>10K msg/s47K msg/sPASS
Memory Overhead<64MB42MBPASS

Autonomous Recovery

MetricValue
Detection Time<100ms
Isolation Time<500ms
Full Recovery<2 seconds
Data Loss Events0

Validation Environments

Jetson AGX Orin 64GB

132.6/100 composite score. Hardware validation and inference benchmarks on NVIDIA edge AI platform.

Apple Silicon (14+ days)

Sustained fault injection, concurrency, governance enforcement, and audit integrity on M-series SoC.

HP ProLiant G8 Chaos

Ubuntu 24.04, network degradation, resource exhaustion, recovery behavior, governance continuity.

Source: AriaOS.dev/docs | Memory stability: 99.8% | 0 cloud dependencies

HammerIO: Compression Engine

Platform: Jetson AGX Orin 64GB | JetPack 6.2.2 | CUDA 12.6 | MAXN mode | All results roundtrip verified

8,537 MB/s GPU decompress (in-memory)
4,258 MB/s GPU decompress (10GB roundtrip)
5.8x Roundtrip speedup vs CPU zstd-1

In-Memory Performance (Raw Throughput)

Method Processor Compress Decompress Integrity
nvCOMP LZ4 GPU 705 MB/s 8,537 MB/s PASS
nvCOMP Snappy GPU 1,615 MB/s 5,756 MB/s PASS
zstd-1 CPU 1,747 MB/s 2,001 MB/s PASS

Roundtrip Results (10GB with Disk I/O)

Method Processor Compress Decompress Ratio Integrity
nvCOMP LZ4 GPU 517 MB/s 4,258 MB/s 1.98x PASS
zstd-1 CPU 1,094 MB/s 733 MB/s 2.00x PASS
zstd-3 CPU 1,014 MB/s 741 MB/s 2.00x PASS

ModelSafe: Model Checkpoint Manager

Platform: Jetson AGX Orin 64GB | Engine: nvCOMP GPU LZ4 via HammerIO | 2026-04-06

3.6s 7B model restore time
7.9s 13B model restore time
391 MB/s Peak decompress throughput
Model Size Original Compressed Ratio Compress Decompress Restore Time Integrity
1GB (7B equiv) 1.0 GB 875.1 MB 1.17x 208 MB/s 283 MB/s 3.615s PASS
3GB (13B equiv) 3.0 GB 2.4 GB 1.24x 237 MB/s 391 MB/s 7.861s PASS
7GB (70B equiv) 7.0 GB 5.7 GB 1.23x 289 MB/s 378 MB/s 18.979s PASS

Note: Synthetic model weight data, float32 arrays with realistic distribution. Ratios reflect actual model weight compressibility. Restore time includes SHA-256 verification. Powered by HammerIO nvCOMP GPU LZ4.

AriaOS: Forge, Domain Model Training

Platform: Jetson AGX Orin 64GB | Base: Qwen2.5-Coder-3B | Method: LoRA fp16 | Dataset: OpenStack Q&A | 2026-04-06

~10h Full pipeline, end to end, no cloud
19.7 tok/s Fine-tuned model inference speed
33% Quality improvement over base 7B model

A/B Comparison: Fine-tuned vs Base Model

Model Parameters Quality Score Tokens/sec TTFT Result
ariaos-forge:latest 3B (LoRA fine-tuned) 80/100 19.7 4,467ms WINNER
qwen2.5-coder:7b 7B (base, untuned) 60/100 10.3 29,853ms ,

Note: Quality scoring via PraetorianMind Model A/B Compare, heuristic evaluation only. Speed advantage reflects 3B vs 7B parameter count. Training dataset: 623 samples (OpenStack Q&A + documentation). All training performed locally, zero cloud dependency.

Benchmarks in Progress

The following modules are under active validation. Detailed performance data will publish here once test runs complete on the validated hardware platforms.

Benchmarks in progress

AegisOS: Physical Security

Edge-native physical security with on-device AI detection. Validation runs in progress on Jetson AGX Orin 64 GB covering detection latency, NVR archival throughput, and concurrent feed scaling.

Benchmarks in progress

MemoryMap: Memory Intelligence

Unified memory visibility under concurrent AI workloads. Validation in progress on Jetson AGX Orin 64 GB measuring tracking accuracy, sampling overhead, and leak-detection sensitivity.

Benchmarks in progress

SentinelForge: Security Operations

Autonomous security operations with multi-tool agent orchestration. Validation in progress measuring agent decision latency, tool-call success rate, and audit-chain throughput.

Benchmarks in progress

PraetorianMind: AI Operations

AI operations and model A/B comparison framework. Validation in progress on quality scoring throughput, comparison repeatability, and orchestration overhead.

Validation Environments

Platform OS CUDA Mode Modules Tested
Jetson AGX Orin 64 GB JetPack 6.2.2 12.6 MAXN All
Apple Silicon M-series macOS N/A Max AriaOS
HP ProLiant G8 Ubuntu 24.04 N/A , AriaOS chaos
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