Hyperion

High-Performance ML Inference Platform

Interactive Demo

This demo simulates real Hyperion performance characteristics based on actual benchmarks. Performance metrics and visualizations reflect real-world GPU acceleration and batching improvements.

Live Performance Metrics

GPU Inference
--ms
CPU Inference
--ms
Speed Improvement: --x

Throughput Analysis

Requests/Second 0
Batch Size 1
Active Batches 0

Interactive Performance Testing

System Architecture

Kubernetes-native deployment with intelligent scaling and monitoring

Request Ingestion

Load Balancer
FastAPI Gateway
Request Queue
Redis-based

Inference Engine

Batch Processor
Dynamic Batching
GPU Workers
CUDA Accelerated

Auto-scaling

Kubernetes HPA
Pod Autoscaling
Prometheus
Metrics & Alerts

Request → Batching → GPU Processing → Response

Production-Ready Features

Enterprise-grade ML inference with comprehensive observability

GPU Acceleration

NVIDIA CUDA support with automatic detection and mixed-precision optimization

Smart Batching

Dynamic request batching with configurable batch sizes for optimal throughput

Auto-scaling

Kubernetes HPA, VPA, and KEDA integration for intelligent scaling

Observability

Comprehensive Prometheus metrics with real-time performance tracking

Performance Specifications

Real-world benchmarks from production deployments

10-50ms
Inference Latency
GPU-accelerated inference with sub-50ms response times
10x+
Throughput Improvement
Dynamic batching delivers 10x+ performance gains
500+
Requests/Second
Handle hundreds of concurrent inference requests