Rebellions vs Graphcore

By valuation, Rebellions is the larger company at $1.4B versus $600M — a 2.3x difference. Size can also be measured by team: Rebellions employs 100-500 people while Graphcore has 500-1000 employees.

Graphcore has raised more in total funding at $767M, compared to Rebellions's $253M — a gap of $514M. Combined, the two companies have completed 4 known funding rounds.

Graphcore leads with an Awaira Score of 85/100, while Rebellions sits at 65/100. That 20-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Rebellions was founded by Park Sung-hyun in 2020. Graphcore was founded by Nigel Toon in 2016. Visit each company's profile on Awaira for a full founder biography.

Rebellions: Rebellions designs AI inference accelerator chips for data center deployment, targeting the workload characteristics of large language model inference and transformer model serving with a custom silicon architecture that aims to deliver better performance per watt than general-purpose GPU solutions for inference-specific workloads. The Seoul company has announced a merger with Sapeon, the SK Telecom AI chip subsidiary, combining two of South Korea most prominent domestic AI chip efforts.\n\nThe company raised approximately $124 million including a Series C round from investors including KT, POSCO, and Korean government-affiliated investment funds. Rebellions ATOM chip has been benchmarked for LLM inference performance and deployed in early customer trials at Korean cloud and telecommunications operators. The proposed merger with Sapeon, if completed, would create a combined entity with broader resources and shared technology for competing against NVIDIA in the Korean AI infrastructure market.\n\nRebellions competes in the AI accelerator market against NVIDIA, AMD, and domestic chip efforts from Samsung and SK Hynix, as well as global AI chip startups including Groq, Cerebras, and Tenstorrent. South Korea semiconductor industry expertise, centred around Samsung and SK Hynix memory chip production, provides a technical ecosystem that supports AI chip design through access to advanced packaging, high-bandwidth memory, and process node expertise. The Korean government has identified domestic AI chip capability as a strategic priority, providing funding support that supplements commercial venture investment in companies like Rebellions. 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.

Graphcore got there first, launching in 2016 — that's 4 years of extra runway. Rebellions didn't arrive until 2020. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Rebellions has about 100-500 employees; Graphcore has about 500-1000. 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 Rebellions and Graphcore compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.