Nova Engine: The Performance Maximizer
A C++/CUTLASS-based engine for kernel optimization and inference orchestration—reducing framework overhead ('Software Tax') and pushing utilization toward peak under measurable conditions. We connect reproducible benchmarks and pilots to production serving on Google Cloud.
- 1. Request IngressPrompt · Context input
- 2. Tokenize · BatchNormalize · Build batches
- 3. SchedulingPrefill/Decode split · Queueing
- 4. Kernel OptimizationFusion · reduce memory traffic
- 5. Token StreamingStream response · Post-process
Separate bottlenecks by stage and boost throughput via scheduling, caching, and kernel tuning.
Nova Engine (Low-level)
An optimization layer that bypasses Python-level overhead to control hardware directly via Tensor Core programming.
- CUTLASS-based Tensor Core programming
- High-performance C++/C kernel engineering
- Eliminating 'Software Tax' to maximize TFLOPS
Kernel Optimization Services
We help teams hit performance ceilings with profiling-driven, production-ready kernel engineering.
- Profiling, roofline analysis, and bottleneck isolation
- Custom kernels from C/C++ baselines to Tensor Cores
- Throughput/latency/$ improvements for inference
Start Measuring Your Performance
Join a Nova Engine pilot or assessment to quantify your workload and align quickly on an improvement plan.
* Detailed benchmark environments (infrastructure/hardware configs) and results are available under NDA.
Inquire for Pilot