QuantAIM Core AI replaces 4-week cloud batch ingestion with a line-rate host SIMD runtime. Triage 100,000 multi-sensor haulage and urban AV frames in under 1 hour inside your own VPC with --network none.
QuantAIM Core AI eliminates GPU bottlenecks by computing spatial-temporal entropy directly inside host CPU vector registers.
Vectorized line-rate entropy evaluation across uncompressed byte streams.
Standard perception stacks decode ROS/MCAP files into memory-heavy C++ object trees, saturating memory buses. QuantAIM uses zero-copy memory mapping (mmap) to stream raw chunks directly into 512-bit vector registers.
By executing parallel 1D histogramming and Shannon entropy passes concurrently across 8 execution lanes, the kernel completes heterogeneous sensor triage in < 35ms per frame on standard server host cores.
Mathematical gating replacing brute-force neural network filtering.
Evaluates spatial frequency across LiDAR point distributions and camera gradients. Rejects repetitive flat haul surfaces and clear sky.
Detects instantaneous spikes in information density caused by sudden dust plumes, rockfalls, or moving objects in the clearance envelope.
Fuses CAN bus wheel-slip, steering jerk, and braking deltas. Any dynamic vehicle event forces H=1.0 to ensure zero dropped anomalies.
Full perception GPU isolation for ISO 19014 & IEC 61508 functional safety.
Autonomous machines allocate onboard GPUs exclusively to real-time perception, obstacle detection, and vehicle controllers. Running secondary models onboard risks thermal throttling or safety path contention.
QuantAIM Core AI runs without instantiating CUDA, ROCm, or Metal runtimes. By restricting operations to host vector registers, we guarantee zero impact on vehicle perception safety loops.
Specific integration topologies engineered for Tier-1 industrial autonomy programs.
Autonomous 793F/797F haul trucks generate gigabytes per cycle across repetitive quarry paths. QuantAIM deploys at the site transfer depot or within Cat Digital VPCs, filtering out 70%+ of static dust and gravel logs in under 1 hour to feed site-specific Field Foundation Models (FFM).
Eliminate the cloud compute tax of running multi-node GPU clusters to slice uncurated 29-camera and LiDAR logs. QuantAIM gates nominal highway loops and red-light idling directly in GCP intake buckets, feeding high-entropy corner cases (H ≥ 0.40) directly to world models.
Agricultural tractors and remote hydraulic excavators operating over low-bandwidth satcom links cannot transmit raw sensor feeds. QuantAIM executes on the machine's industrial host CPU, ensuring only true edge anomalies transmit over satellite.
In electronic warfare or comms-denied environments, QuantAIM operates completely air-gapped under --network none. Automatically indexes mission-critical reconnaissance telemetry directly at the edge without external dependencies.
Everything systems architects and technical leads need to inspect, verify, and execute.
Execute directly inside your VPC using Docker, Podman, or containerd. Mounted strictly as read-only (:ro) with complete network isolation:
Our 15-day smoke test validates deterministic performance against strict empirical hardware thresholds:
At completion of the 100k frame triage pass, the runtime automatically emits a cryptographically hashed JSON audit artifact for your DevSecOps pipeline:
{
"schema_version": "2026.1",
"dataset_frames_evaluated": 100000,
"execution_duration_sec": 3252.84,
"hardware_metrics": {
"gpu_vram_allocated_mb": 0.00,
"cpu_simd_instruction_set": "AVX-512_F_BW_DQ",
"network_egress_bytes": 0
},
"triage_summary": {
"nominal_frames_gated": 72410,
"high_entropy_anomalies": 27590,
"payload_write_reduction_pct": 72.41,
"p95_frame_latency_ms": 28.4
},
"acceptance_pass": true
}
Audited metrics on 100,000 raw autonomous haulage frames running on standard AMD EPYC 9654 host processors.
Calculate your annual cloud ingestion and compute burn reduction using host SIMD telemetry gating.
Evaluate QuantAIM on 100,000 uncurated multi-sensor frames inside your private VPC. Governed by empirical hardware criteria.