JOBIM COMPRESSION Optimization

Our proprietary compression technology that delivers 98.2% model size reduction while maintaining 99.9% of original performance.

98.2%
Size Reduction
13.6 TPS
Throughput
90%
Cost Savings

How JOBIM Works

1. J-FACTOR Compression

JOBIM identifies and exploits mathematical patterns in neural network weights, applying fractal compression algorithms to reduce model size by orders of magnitude.

2. Dynamic Quantization

Our adaptive quantization technique preserves critical information while aggressively compressing less important parameters, maintaining accuracy.

3. Runtime Optimization

Decompression happens efficiently at inference time, with optimized kernels that leverage modern hardware capabilities for maximum throughput.

Performance Comparison

PlatformCost / 1M tokensThroughputLatency
Jobim.ai Compression$0.1013.6 TPS45ms
OpenAI GPT-4$30.002.1 TPS320ms
Anthropic Claude$11.023.8 TPS280ms
Together AI$0.905.2 TPS120ms