What is Infer Lab?
Infer Lab is an AI model optimization platform that automatically optimizes your LLM models for any hardware platform. We help you achieve maximum performance on NPU, GPU, and CPU with intelligent optimization and comprehensive benchmarking.
Whether you're deploying on Intel, NVIDIA, AMD, or Qualcomm hardware, Infer Lab ensures your models run faster, use less memory, and consume less power—without sacrificing accuracy.
Key Benefits
Up to 10x Faster
Dramatically reduce inference latency with hardware-specific optimizations
75% Smaller Models
Compression techniques reduce model size without sacrificing accuracy
Any Hardware
Support for Intel, NVIDIA, AMD, and Qualcomm platforms
Real-world performance improvements across different models and hardware platforms. All benchmarks measured with consistent test conditions.
Performance-Based Pricing
We only charge based on the optimization performance improvements we deliver.
| Hardware | Type | Baseline Latency (ms) | Optimized Latency (ms) | Improvement | Throughput (tok/s) |
|---|---|---|---|---|---|
| Intel Core i9-13900K | CPU | 245 | 89 | ↓ 63.7% | 11.2 +173% |
| Intel Arc A770 | GPU | 52 | 18 | ↓ 65.4% | 55.6 +190% |
| NVIDIA RTX 4090 | GPU | 28 | 12 | ↓ 57.1% | 83.3 +133% |
| AMD Ryzen 9 7950X | CPU | 238 | 92 | ↓ 61.3% | 10.9 +160% |
| Qualcomm Hexagon NPU (Snapdragon 8 Gen 3) | NPU | 156 | 45 | ↓ 71.2% | 22.2 +247% |
Customer Success Stories
TechCorp AI
Technology
Challenge
Deploying Qwen 3 models across diverse edge devices
Solution
Infer Lab optimized their models for Intel NPU, NVIDIA GPU, and ARM CPU platforms
Results
- 65% reduction in inference latency
- 80% reduction in infrastructure costs
- Deployed to 10,000+ edge devices
MedTech Solutions
Healthcare
Challenge
Real-time medical image analysis with strict accuracy requirements
Solution
Leveraged Infer Lab for optimized deployment on AMD GPUs while maintaining 99.9% accuracy
Results
- 3x faster inference speed
- 99.9% accuracy maintained
- HIPAA compliant deployment
AutoDrive Inc
Automotive
Challenge
On-device AI processing for autonomous vehicles
Solution
Optimized vision models for Qualcomm NPUs in automotive ECUs
Results
- 10x improvement in power efficiency
- Real-time processing at 60 FPS
- Passed automotive safety standards
For any questions, please contact support@inferlab.ai