DELN

This product provides GPU-accelerated kernels for specialized mathematical operations, solving the problem of slow CPU-based computations in fields like statistics, signal processing, and computational geometry. It targets developers and data teams in mid-market and enterprise companies who need high-performance numerical computing. It is positioned as a high-performance alternative to CPU and eager PyTorch implementations, with auditable correctness and deterministic results.

Key features

• 110 optimized kernels
• GPU-native execution
• Auditable correctness certificates
• Deterministic re-runs
• Cross-hardware equivalence
• Bit-identical same-arch results
• Open-sourced benchmarks