Graphcore vs Nscale

By valuation, Nscale is the larger company at $14.6B versus $600M — a 24.3x difference. Size can also be measured by team: Graphcore employs 500-1000 people while Nscale has 200 employees.

Nscale has raised more in total funding at $2B, compared to Graphcore's $767M — a gap of $1.2B. Combined, the two companies have completed 4 known funding rounds.

Graphcore leads with an Awaira Score of 85/100, while Nscale sits at 82/100. That 3-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Graphcore was founded by Nigel Toon in 2016. Nscale's founder information is not currently available in our database.

Graphcore: Graphcore designs the Intelligence Processing Unit, a processor architecture built specifically for machine learning workloads, offering a hardware alternative to NVIDIA GPUs for AI model training and inference. The Bristol-based company developed the IPU around a bulk synchronous parallel computation model that distributes model parameters across thousands of processor cores with local memory, achieving high efficiency for sparse and irregular neural network computations that GPUs handle inefficiently.\n\nThe company raised approximately $700 million across six funding rounds including a Series E that valued it at approximately $2.8 billion, with investors including Sequoia Capital, Microsoft, and Samsung Ventures. Graphcore processors are deployed in research institutions including Oxford, Cambridge, and the Rosalind Franklin Institute, as well as commercial AI platforms. The company has shipped multiple IPU generations including the MK2 IPU and Bow IPU, with the Colossus processor and IPU-POD system providing data centre scale AI compute.\n\nGraphcore competes directly against NVIDIA in the AI accelerator market, alongside AMD, Intel Gaudi, and other AI chip startups including Cerebras, SambaNova, and Groq. The AI accelerator market is projected to exceed $100 billion by 2027, driven by demand for model training compute. Graphcore faces the dominant position of NVIDIA and its CUDA software ecosystem as the primary barrier to adoption, requiring significant software investment to match the maturity of CUDA tooling that researchers and engineers have relied on for over a decade. Nscale: Nscale is a United Kingdom-based AI infrastructure company that builds and operates GPU data centers optimized for artificial intelligence workloads. The company raised $2 billion in a Series C round — the largest venture capital round in European history — at a $14.6 billion valuation. Nscale provides cloud computing infrastructure purpose-built for training and deploying large AI models, competing with hyperscalers like AWS and Azure as well as AI-native cloud providers like CoreWeave and Lambda. The company operates data centers across Europe and is expanding globally to meet surging demand for AI compute capacity. Nscale's platform supports the full AI development lifecycle from model training through production inference at scale.

Graphcore got there first, launching in 2016 — that's 5 years of extra runway. Nscale didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Graphcore has about 500-1000 employees; Nscale has about 200. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Graphcore and Nscale compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.