LLM Core AI
PRODUCT: NOVA ENGINE

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.

Inference Pipeline Visualizer
  1. 1. Request Ingress
    Prompt · Context input
  2. 2. Tokenize · Batch
    Normalize · Build batches
  3. 3. Scheduling
    Prefill/Decode split · Queueing
  4. 4. Kernel Optimization
    Fusion · reduce memory traffic
  5. 5. Token Streaming
    Stream response · Post-process
Key Notes

Separate bottlenecks by stage and boost throughput via scheduling, caching, and kernel tuning.

Prefill/Decode · Per-stage bottleneck separation
Scheduler · Maximize device utilization
Kernel Tuning · Fusion · reduced memory traffic
KV Cache · Reuse · faster token processing

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
Nova Engine: The Performance Maximizer — LLM Core AI