Spectral Compute, the company behind SCALE, a software framework that lets CUDA (Compute Unified Device Architecture) applications run on any GPU, has announced a seed funding round.

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London-based Spectral Compute, the developer of SCALE, a software framework, announced that it has raised $6M (approximately €5.1M) in a seed round led by Costanoa, with participation from Crucible and prominent angel investors.

Costanoa invests in startups from their formation through Series A in fields like Applied AI, Cybersecurity, National Security, and Fintech.

With $2.3B in assets, we focus on making fewer investments to offer greater support and expertise during the crucial early stages of growth.

“Spectral has solved one of computing’s toughest challenges: letting teams write CUDA once but run it anywhere,'” said Tony Liu, Partner at Costanoa. “Their breakthrough technology eliminates one of the largest bottlenecks in AI infrastructure and HPC today, unlocking choice and innovation across the compute landscape.”

The funding will accelerate the company’s go-to-market expansion and deepen product development as it brings true hardware flexibility to the high-performance computing (HPC) and AI ecosystems.

What does Spectral Compute solve?

At present, the AI and HPC (High-Performance Computing) industries have largely been dominated by Nvidia’s software stack and the CUDA programming model.

This dominance has resulted in what many view as excessive hardware costs and vendor lock-in, making entire supply chains susceptible to disruption.

Additionally, new tariffs and export restrictions have only heightened this exposure, leaving businesses across research, finance, and AI highly dependent on GPUs with 18-month lead times.

“Companies shouldn’t have to bet their entire compute infrastructure on one chipmaker,” says Michael Søndergaard, co-founder and CEO of Spectral Compute. “The vision of SCALE is that teams can finally use their existing CUDA code on any GPU, whether that’s Nvidia, AMD, Intel, or others, without performance loss or costly rewrites. We’re giving developers and enterprises the freedom they’ve never had before.”

Spectral Compute: Making AI and HPC more portable

Founded in 2018 by engineers Michael Søndergaard, Chris Kitching, Nicholas Tomlinson, and Francois Souchay, Spectral Compute is a software company that makes high-performance and AI computing more portable.

The company’s flagship product — SCALE, allows CUDA applications to run smoothly on different GPU architectures without needing to change the code or sacrifice performance, starting with AMD GPUs.

This means organisations can use the same codebase across multiple hardware vendors, and allows organisations to finally make vendor-agnostic cluster procurement decisions.

Moreover, the UK company helps customers stay up to date and choose the hardware that offers the best performance, efficiency, or availability at any time.

At present, the company has 19 full-time employees and continues to grow as it expands into AI, scientific research, and cloud computing sectors.