GPU-Native Security Intelligence

Threats Move at Machine Speed. Your Defense Should Too.

Quellra processes 100% of enterprise telemetry at 2M+ events/sec via NVIDIA Morpheus. TensorRT scores every event in under 0.4ms. Six autonomous NIM agents investigate and contain threats without waiting for a human analyst.

2M+Events / sec
<0.4msInference
70%+FP Reduction
100%Coverage

Powered by the full NVIDIA AI stack

NVIDIA Morpheus
TensorRT
NeMo
RAPIDS
Triton
Jetson Orin
DGX H100
NIM
GPU-Native Architecture

Three Layers. Full-Fidelity Detection.

Quellra Stream processes 100% of telemetry via NVIDIA Morpheus. Quellra Agents investigate autonomously via NIM microservices. Quellra Edge protects air-gapped OT/ICS on Jetson Orin.

1

Ingest & Detect

Morpheus + TensorRT

2M+ events/sec processed through NVIDIA Morpheus. TensorRT INT8 inference scores every event in under 0.4ms.

2

Correlate & Reconstruct

RAPIDS cuDF + cuGraph

Telemetry correlation via cuDF joins. HAN GNN reconstructs attack chains across 5 entity types in 200-500ms.

3

Assess & Report

NeMo LLM + Guardrails

Blast radius prediction identifies hosts at risk. NeMo generates SOC-ready investigation report with confidence scores.

4

Contain & Respond

NIM Microservices

Pre-approved playbooks execute containment — isolate hosts, revoke credentials, block IPs. Auditable and reversible.

NVIDIA-Powered Capabilities

Built on the Full NVIDIA AI Stack

Morpheus · CUDA · TensorRT · Triton · NeMo · NIM · RAPIDS · Jetson · AI Enterprise · DGX H100

2M+ Events Per Second

Custom CUDA kernels process enterprise telemetry at line rate through NVIDIA Morpheus pipelines. Zero sampling — every packet, every log, every signal analyzed in real time.

<0.4ms TensorRT Inference

NetSecBERT INT8-quantized model scores every event in under 0.4 milliseconds on A100. Threats classified before they propagate — 50× faster than CPU inference.

100% Full-Fidelity Coverage

No sampling, no aggregation. IOC hash-join kernel performs 2M parallel lookups/sec against a 50M-entry threat database. Attackers cannot hide in gaps.

Jetson Orin Edge (275 TOPS)

Quellra Edge runs on NVIDIA Jetson AGX Orin 64GB for air-gapped OT/ICS. DLA offloads OT protocol scoring. GPIO relay for hardwired PLC isolation.

6 Autonomous NIM Agents

NIM microservice pipeline: Telemetry Correlation → Attack Chain Reconstruction (HAN GNN via cuGraph) → Threat Intel → Blast Radius → Report Generation → Response Execution.

Per-Customer LoRA Baselines

NeMo fine-tuned LoRA adapters learn each customer's behavioral DNA in 2-4 hours on A100. False positives reduced 70%+ with contextual, environment-specific detection.

Real-Time Visibility

Every Event. Every Threat. Every Second.

Full-fidelity telemetry means every event is queryable, every anomaly visible. RAPIDS cuDF executes threat hunting queries over 500TB in minutes — not hours.

Quellra Dashboard

Threats Blocked

12,847

Active Agents

24

Avg Response

0.3s

Coverage

99.9%

Threat Activity (24h)Live
Recent AlertsStatus
Platform Architecture

One Platform. Five Products. Complete Coverage.

Quellra is a GPU-native security AI platform — shared telemetry lake, Morpheus pipeline, NeMo/NIM serving, and one CISO buyer across all capabilities.

Quellra Stream

NVIDIA Morpheus GPU pipeline with custom CUDA kernels. NetFlow v9/IPFIX tokenization, TensorRT INT8 inference, RAPIDS cuDF feature engineering. Encrypted traffic classification via statistical metadata — detecting C2 inside TLS without decryption.

Quellra Agents

6 NIM microservices orchestrated by NeMo planner with chain-of-thought reasoning. cuGraph BFS + Heterogeneous Graph Attention Network reconstruct attack chains across 5 entity types in 200-500ms. NeMo Guardrails prevent hallucinated CVE IDs.

Quellra Edge

Jetson AGX Orin 64GB (275 TOPS) or NX 16GB (157 TOPS) for air-gapped industrial facilities. Monitors Modbus, DNP3, OPC-UA, Profinet. GPIO relay triggers SIS interlock for PLC isolation on attack detection.

Triton Serving Layer

NVIDIA Triton Inference Server with dynamic batching and model ensemble. Concurrent serving of NetSecBERT, encrypted traffic classifier, behavioral anomaly model, HAN GNN, and NIM LLM agents — sustaining 80%+ GPU utilization.

Developer Experience

GPU-Accelerated Security in a Few Lines

The Quellra Python SDK connects your infrastructure to the Morpheus pipeline and NIM agent pipeline. Stream events, trigger investigations, query threat intel.

quellra_integration.py
from quellra import StreamClient, AgentPipeline # Connect to Quellra Stream via Morpheus pipelinestream = StreamClient(    api_key="qr_...",    morpheus_endpoint="grpc://stream.quellra.com:443") # Subscribe to high-confidence threats (TensorRT scored)async for event in stream.subscribe(confidence_threshold=0.85):    # Trigger 6-agent NIM pipeline investigation    investigation = await AgentPipeline.investigate(        event_id=event.id,        agents=[            "correlation",      # RAPIDS cuDF joins            "attack_chain",     # cuGraph BFS + HAN GNN            "threat_intel",     # NeMo Retriever RAG            "blast_radius",     # Predictive lateral movement            "report",           # NeMo LLM + Guardrails            "response"          # Auto-containment execution        ],        auto_respond=True   # Pre-approved playbook    )    print(f"Contained in {investigation.latency_ms}ms")
Performance at GPU Speed

Numbers That Prove GPU is Not Optional

The 50× latency advantage of TensorRT over CPU inference is the difference between blocking a threat before it executes and detecting it after the damage is done.

0M+

Events processed per second

0ms

TensorRT INT8 inference latency

0%+

False positive reduction

0×

Faster than CPU-bound SIEMs

Enterprise Security Leaders

Trusted by Fortune 500 Security Teams

We went from 45-minute mean-time-to-respond to under 3 seconds. Quellra's NIM agents don't just alert — they reconstruct the full attack chain via cuGraph and execute containment autonomously. Our SOC team now focuses on strategy.

Marcus ChenCISO, Fortune 500 Industrial Manufacturer

Deploying Quellra Edge on Jetson Orin across 12 manufacturing plants gave us OT visibility we never had. Air-gapped Modbus/DNP3 monitoring with sub-millisecond anomaly detection — our PLCs are protected before malicious commands execute.

Dr. Sarah OkonkwoVP of Industrial Security, Global Energy Company

The full-fidelity approach — 2M events/sec, no sampling — caught an encrypted C2 channel that our previous SIEM missed for 6 months. Quellra's encrypted traffic classifier detected it from packet metadata statistics alone.

James WhitfieldDirector of Threat Operations, National Healthcare Provider
Security & Compliance

Enterprise-Grade Security at Every Layer

NVIDIA AI Enterprise provides FIPS 140-2 validated containers. Customer data never leaves your environment.

SOC 2 Type IIFedRAMP ModerateIEC 62443 SL2NERC CIPFIPS 140-2NIS2 (EU)

Customer Data Isolation

All telemetry processed in dedicated VPC. Only anonymized 128-dimensional embeddings leave customer environment.

Air-Gap Capable

Jetson Orin runs full inference pipeline with zero cloud dependency. GPIO relay operates independently of IP network.

Auditable Agent Actions

Every containment action logged with timestamps, confidence scores, and reversibility flags. Full forensic trail.

Enterprise Deployment

Deploy Your Way. GPU at Every Layer.

From cloud SaaS to fully air-gapped Jetson Edge. Five deployment modes meet any compliance requirement — FedRAMP, IEC 62443, NERC CIP, or sovereign.

Cloud-Native SaaS

Managed GPU infrastructure. A100/H100 clusters. Multi-tenant Triton serving with per-customer isolation.

On-Premise (NIM + AI Enterprise)

Deploy on customer DGX/HGX hardware. NVIDIA AI Enterprise licensing. FIPS 140-2 validated containers.

Hybrid

Cloud model orchestration with on-premise Morpheus data processing. Data residency requirements met.

Edge-Only (Air-Gapped)

Jetson Orin standalone. Zero cloud dependency. Full inference pipeline with GPIO hardware interlock.

StopFightingMachine-SpeedAttacksWithHuman-SpeedTools

Deploy Quellra and let GPU-native AI detect in 0.4ms, investigate in 500ms, and contain in seconds — without waiting for an analyst. 90-day enterprise pilot available.