by doubleAI
Maxwell understands and improves code while it runs, reasoning about hardware and data, not just code. Every improvement is formally proven equivalent to the original code. Read the manifesto
A short animated film, with narration and captions, introducing Maxwell: most code never sees the hardware it runs on or the data it processes. Maxwell watches a program while it runs, rewrites the binary underneath to fit that exact machine and data, and formally proves every improvement equivalent to the original. It runs on CPUs and GPUs, speeding up data pipelines and AI inference kernels.
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LTX built LTX-2.5 for efficiency from day one, compiled end to end, sequence-parallel across GPUs, decoding on a hand-written attention kernel. A pipeline built and optimized by top human experts. Maxwell made their 4K generation nearly twice as fast.
See Maxwell in action optimizing both GPU-based and CPU-based code. Once Maxwell has enough runtime data, it swaps in formally proven optimizations tailored to that exact machine while the program keeps running.
Two terminals run the same Python script on the same RTX 4090: 180 transcriptions with Whisper-small from a cold start. Without Maxwell, on the left, it takes 106.23 seconds. With Maxwell, on the right, it completes in 49.82 seconds. Both produce identical transcripts. The recording plays at 4× speed.
Two terminals run the same Python script on the same machine: NetworkX betweenness centrality, 15 runs. Without Maxwell, on the left, it takes 61.44 seconds. With Maxwell, on the right, it completes in 17.50 seconds. Both print identical results. The recording plays at 4× speed.
After one day of search, Maxwell beats NVIDIA’s PyTorch baselines on 90% of SOL-ExecBench’s Blackwell kernels.
(opens on doubleai.com)Independently generated and verified a hyper-optimized drop-in version of NVIDIA cuGraph, 3.6× faster on average.
(opens on doubleai.com)Maxwell completely rewrote pandas’ kernels from scratch, specialized for modern hardware.
(opens on doubleai.com)