AI Inference Engine Platform

Inference at the Speed of Thought

Cut AI latency by 73%. Serve 1M+ requests per second. Deploy anywhere — GPU, CPU, edge.

< 8ms P99 Latency

1M+ Requests/sec

99.99% Uptime SLA

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Everything You Need for Production Inference

From kernel-level latency reduction to hyperscale auto-scaling — Inferex handles every layer of your inference stack.

Latency Optimizer

Reduce p99 inference latency to under 8ms with kernel-level optimizations

Throughput Scaling

Handle 1M+ concurrent inference requests with auto-horizontal scaling

Model Compression

4x model compression via quantization without accuracy degradation

Hardware Abstraction

Run optimized inference on GPU, CPU, or edge hardware — one codebase

Real-Time Monitoring

Sub-second observability dashboard with P50/P95/P99 latency tracking

Security & Compliance

SOC 2 Type II certified, end-to-end encryption, GDPR-ready

Performance That Speaks for Itself

Real numbers from production deployments across GPU, CPU, and edge environments.

73%

Latency Reduction

1.2M

Requests/sec Peak

99.99%

Uptime SLA

Inference Throughput

How It Works

Up and running in 10 minutes. No infrastructure overhaul required.

Connect

Plug into your existing inference pipeline via SDK or REST API

Optimize

Inferex auto-profiles and applies hardware-specific optimizations

Scale

Elastic infrastructure scales from 1 request to 1M+ instantly

From the Inferex Engineering Blog

Technical guides, benchmarks, and deep dives from our team.

March 15, 2026

How to Cut AI Inference Latency by 73%

A practical guide to reducing P99 AI inference latency from 58ms to under 8ms.

February 22, 2026

Scaling LLM Throughput to 1M Requests Per Second

Engineering deep-dive: how Inferex achieves 1.2M inference req/s at scale.

Model Quantization Without Accuracy Loss

January 30, 2026

4x Model Compression: Quantization That Preserves Accuracy

How INT8 and FP8 quantization achieves 4x compression with minimal accuracy loss.