The Inferex Platform

Platform Overview

Three integrated layers. One unified control plane.

Kernel-Level Inference Optimization

The Inferex Optimizer applies hardware-specific kernel optimizations at the model operator level — not just at the framework level. We rewrite attention kernels, fuse operations, and exploit hardware-specific instruction sets.

The result: P99 latency drops from 58ms to under 8ms without changing a single line of your model code. Works with any PyTorch, TensorFlow, or ONNX model.

Automatic kernel fusion for attention and FFN layers
INT8/FP8 quantization with accuracy preservation
Flash Attention 3 integration for LLM workloads
Continuous batching for variable-length requests

P99 Latency 7.8ms ↓73%

GPU Utilization 91% ↑167%

Throughput 1.2M req/s ↑567%

Cost per 1M inferences $0.94 ↓78%

Horizontal Auto-Scaling Infrastructure

The Inferex Scaler manages a fleet of inference workers across any cloud provider or on-premise hardware. It uses load-aware routing, predictive scaling, and zero-downtime rolling deployments.

Predictive Scale-Out

Scales capacity before traffic spikes hit — not after. Uses time-series forecasting on your request patterns.

Multi-Cloud Fleet

Manage workers across AWS, GCP, Azure, and on-premise from a single control plane.

Load-Aware Routing

Routes requests to the least-loaded worker with sub-millisecond routing overhead.

Zero-Downtime Deploys

Rolling deployments with automatic traffic shifting and instant rollback on error spikes.

Real-Time Observability Dashboard

Every inference is tracked. P50/P95/P99 latency, throughput, error rates, and hardware utilization — all in real time with sub-second refresh. Alerting via Slack, PagerDuty, or webhook.

Latency Percentiles

P50/P95/P99 latency tracking per model, per endpoint, and per request type.

Smart Alerting

Anomaly detection triggers alerts before users notice degradation. Integrates with PagerDuty and Slack.

30-Day Audit Log

Every inference request logged with full metadata. Query with SQL. Export for compliance.

Hardware Telemetry

GPU/CPU utilization, memory pressure, thermal state — all surfaced in one view.