Spectral Compute: Compile CUDA everywhere @GPUMODE

Spectral Compute: Compile CUDA everywhere @GPUMODE

Uploaded August 2026 | Updated September 2026, 11 minutes ago

Chris Kitching, CTO at Spectral Compute, explains how SCALE recompiles unmodified CUDA source to native AMD and NVIDIA machine code, and goes deep on the compiler work and vendor-specific optimizations required to make CUDA portable.

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Spectral Compute: Compile CUDA everywhere

Lecture 68: Landscape of GPU Centric communication

Multi-GPU programming

The 4-bitter lesson: Balancing Stability and Performance in NVFP4 RL

Lecture 31: Beginners Guide to Metal

Lecture 81: High-performance purely functional data-parallel array programming

Bonus Lecture: AMD Developer Challenge

PTX/SASS level review

Lecture 111: Spectral Compute: Compile CUDA everywhere

Lecture 94: tvm-ffi

Lecture 28: Liger Kernel - Efficient Triton Kernels for LLM Training

Formalized Deep Learning Architectures for Automated Low-Level Kernel Optimization

Spectral Compute: Compile CUDA everywhere