AI workloads & kernels
Custom GPU kernels, fused operations, and better memory use. Built for your model.
AI Performance / Numaro
Make AI
run faster.
Kernels, compilers, and specialized languages. We optimize the software around your workload and hardware.
Autonomous research. Applied to your stack.
Your performance target
- Latency
- Throughput
- Memory
- Energy
Across the stack
Three ways to go faster.
From one operation
to a whole new toolchain.
Compilers & runtimes
Scheduling, code generation, and workload mapping for GPUs and custom accelerators. Target stacks include MLIR/IREE, TVM, and LLVM, with hardware or simulator evaluation.
Specialized languages & toolchains
A language and compiler built around your domain. A deeper collaboration, from design to execution.
From our optimization work
Measured speedups.
2–4.5×
Faster batched matrix multiplication
Selected small / medium matrices · batch ≥ 512
Relative speedHigher is faster ↗
Hatched area: variation across tested shapes.
NVIDIA L40S · Bit-exact in the reported testsRead the GPU benchmarks
1.55×
Faster fused depthwise convolution
Fused 3×3 + bias + ReLU6 · FP16 geometric mean
Relative speedHigher is faster ↗
NVIDIA L40S · Bit-exact in the reported testsRead the GPU benchmarks
2.93×
Faster compiled program execution
80 C-reference benchmarks · geometric mean
41 wins · 7 ties · 32 losses. 1.17× when excluding Numaro runs under 1 ms.
Relative speedHigher is faster ↗
x86-64 CPU · Program execution timeView the benchmark data
The people behind the work
Technical team.
Work directly with us,
from the first benchmark to handover.
Vadim Borisov, PhD
ML & autonomous research
Vadim guides workload selection, ML evaluation, and the research campaign. His work spans generative models and efficient inference.
Philipp Schuster, PhD
Programming languages & compilers
Philipp guides language and compiler design, optimization strategy, and technical review. His research connects programming language theory to native code generation.
Work with Numaro
Bring your bottleneck.
- 01
Scope it together
Your engineers and our team choose a workload, establish the baseline, and agree on performance and correctness targets.
- 02
Guide the research
Our team directs the campaign on your hardware or simulator, reviews candidates, and checks the results with you.
- 03
Technical handover
We deliver evaluated code and reproducible benchmarks, walk your engineers through the changes, and guide integration.
Targets follow baseline review. Simulated results are labeled.
contact@numaro.tech