Inference Optimization
Reduce latency and cost with speculative decoding and custom kernels. 274x speedup potential for production workloads.
Speculative decoding and custom kernels for dramatically faster inference
Inference is too slow and too expensive
LLM inference at scale means high latency and high costs. Users wait. Bills grow. And optimizing inference requires deep GPU expertise most teams don't have.
Latency bottlenecks
Slow inference creates poor user experiences. Real-time applications suffer. Batch processing takes forever.
Costs scale with usage
GPU compute is expensive. As usage grows, inference costs become a significant budget line item.
Optimization requires expertise
Low-level GPU optimization requires specialized knowledge. Custom kernels, quantization, and speculative decoding aren't trivial.
Quality tradeoffs
Many optimization techniques sacrifice output quality. Faster isn't better if the results are worse.
"274x speedup for verified synthesis—without sacrificing output quality."
Dramatically faster inference
Speculative decoding, custom Triton kernels, and expert optimization—without quality regression.
Speculative decoding
Draft-then-verify approach for dramatically faster generation. Small draft models propose tokens, verified by the target model in parallel.
Custom Triton kernels
Hand-optimized GPU kernels for maximum throughput. We write the low-level code so you don't have to.
Cost profiling
Understand where your inference budget goes. Detailed breakdowns of compute, memory, and transfer costs.
Latency analysis
Identify bottlenecks and optimization opportunities. Know exactly where time is being spent.
Quality preservation
Optimizations that maintain output quality. We validate that faster doesn't mean worse.
Drop-in integration
Minimal changes to your existing inference pipeline. Usually just a few lines of code to integrate.
From audit to optimization
We analyze your inference workload and implement optimizations tailored to your use case.
Audit
We profile your inference pipeline to identify bottlenecks and optimization opportunities.
Optimize
Custom speculative decoding setup and kernel optimization for your specific models and workloads.
Validate
Rigorous quality testing to ensure no regression. We prove that outputs are equivalent.
Deploy
Integrate optimizations into your production pipeline with ongoing monitoring.
Engagement options
Audit
$10K
Comprehensive profiling and recommendations report. Understand your optimization opportunities.
Optimization
$50K
4-week implementation engagement. Custom speculative decoding and kernel optimization.
Retainer
$5K/month
Ongoing optimization, monitoring, and support. Continuous improvement as your workloads evolve.