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The fastest compiler for CUDA code. On any GPU.

Spectral is the creator of SCALE, a toolkit that (re)compiles CUDA code for a broad range of GPUs to increase performance.

Explore SCALE

// Performance

Powered by modern LLVM and Clang, SCALE's novel compiler optimizations outperform native vendor toolchains—running 5.94× faster than HIP on AMD GPUs and matching native performance on NVIDIA GPUs. Check out our benchmarks.

// Vendor optionality

One CUDA codebase. Multiple accelerator targets. Switch the compiler backend, recompile, ship — no rewrites, no second codebase, no porting effort. AMD and NVIDIA today; more accelerators coming soon.

// Developer experience

Custom language extensions cut CUDA boilerplate, and SCALE's clangd integration brings expected C++ tooling to CUDA real-time semantic analysis, "Go to Definition," and precise diagnostics—straight into any clangd-aware editor.

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// Why We're Doing This

The accelerator market is bifurcating. AMD's MI-series, custom silicon from hyperscalers, and new entrants every quarter are reshaping what HPC and AI infrastructure looks like — but the software stack hasn't caught up. Teams either maintain parallel codebases for each vendor or pay the vendor lock-in tax in hardware bills, procurement risk, and lost negotiating leverage.

SCALE removes that trade-off. Write CUDA code once, compile it for whatever accelerator is fastest, cheapest, or most available this quarter, and don't compromise on performance to get there. SCALE is an augmentation of what HPC-CUDA developers can already do — not a replacement language, not a JIT transpilation tool, not a porting utility.

The same source. More targets. Better tooling. Superior performance.

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We are always looking for exceptional talent to join our global team. If our mission and culture resonate with you, we'd love to talk.

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Registrant Contact:
Name: Spectral Compute Ltd
Address: 483 Green Lanes, London, England, N13 4BS
Phone: +441392581900
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