Starter
Free
Free plan for individual developers and small projects
- ✔ 2,500 database queries per month with docc
- ✔ 500 minutes for CI/CD on Daisy Cloud
- ✔ 1 GB of storage for files
- ✔ Up to 60 minutes per job
Self-learning compiler cloud
Run Your Code on Any Chip.
Maximum Performance.
Unlock true performance portability across processors. Our self-learning compiler, docc, uses cloud-based tuning to automatically optimize your code for any target processor. Start locally and scale effortlessly with CI/CD pipelines on our multi-chip cloud.
Optimized for leading hardware platforms
Building on SPCL's cutting-edge research that won the
Technology
A Compiler That Adapts To Your Application
Our self-learning compiler explores thousands of optimization paths to tailor your code for a specific hardware. Achieve maximum performance, surpassing the one-size-fits-all approach of traditional compilers.
C/C++
PyTorch
ONNX
Self-Learning Compiler
Collecting Codes...
Performance
LOW
Target Hardware
Optimized Executable
Usage
One Source, Any Target
Write your code once in plain C/C++, ONNX or PyTorch. Our self-learning compiler automatically generates optimized kernels for different hardware targets.
Rodinia Benchmarks
backprop.c
// Backpropagation Layer Forward Passvoid bpnn_layerforward(const float* l1, const float* l2,float* conn,int n1, int n2)for (int j = 1; j <= n2; j++) {sum = 0.0;for (int k = 0; k <= n1; k++) {sum += conn[k * n2 + j] * l1[k];}l2[j] = squash(sum);}}
output
← Select a target platform
✓ Auto-tuned for maximum performance •✓ Memory layout optimized •✓ Hardware-specific intrinsics applied
Workflow
Build, Optimize and Deploy with a Multi-Chip Cloud
While docc will always run locally on your machine, our multi-chip cloud automates compilation and performance tuning at scale. You write the algorithms, we handle the rest.
daisy-cloud-runner — bash — 80x24
Connect Your Workflow
Simply add our GitHub app to your repository. We automatically detect changes and trigger optimization pipelines on every push.
Multi-Architecture Build
Your code is compiled in parallel across our cloud of NVIDIA, AMD, and Tenstorrent hardware. No local setup required.
Autotuning and Performance Analysis
Our compiler explores thousands of optimizations for your code. Our dashboard gives you the performance reports.
Proven Results
Built for the Most Demanding Applications
From computational fluid dynamics and molecular simulations to AI models, our compiler cloud handles the most complex workloads.
Watch Demo
Case StudySC '25, St. Louis, Mo - Nov 16-21. Felix LeClair
OpenFOAM on Tenstorrent
As a collaboration with Tenstorrent, we ported the industry-standard CFD toolkit OpenFOAM to Tenstorrent's RISC-V based Blackhole accelerator.
Zero Code Changes: Original C++ source code compiled directly with docc.
Automatic Optimization: docc automatically identifies offloadable code sections and moves them to the accelerator.
Full Portability: Seamlessly switch between Wormhole, Blackhole or other vendors' cards in our cloud.
OpenFOAM Computational Fluid Dynamics
Computational fluid dynamics solver ported to run on Tenstorrent Blackhole.
HPCCG - Conjugate Gradient Solver
Conjugate gradient solver with sparse matrices optimized for NVIDIA GPUs and Tenstorrent Blackhole.
Coming Soon
AI Model Optimization from ONNX
A model zoo of AI models compiled for various hardware targets.
Seamlessly integrates with your existing build systems
MMake
CMCMake
NNinja
Pricing
Start Optimizing for Any Chip
Join the multi-chip revolution. Get started with our free tier and scale as you grow.
Enterprise
Custom
Custom plans for businesses and large teams
- ✔ Custom number of database queries per month with docc
- ✔ Custom minutes and storage
- ✔ Self-hosted runners to benchmark on your hardware
- ✔ Analysis and compiler support