Tenstorrent vs Graphcore

By valuation, Tenstorrent is the larger company at $3.2B versus $500M — a 6.4x difference. Size can also be measured by team: Tenstorrent employs 400 people while Graphcore has 500-1000 employees.

Tenstorrent has raised more in total funding at $1.2B, compared to Graphcore's $700M — a gap of $480M. Combined, the two companies have completed 8 known funding rounds.

Graphcore leads with an Awaira Score of 85/100, while Tenstorrent sits at 80/100. That 5-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Tenstorrent was founded by Ljubisa Bajic in 2016. Graphcore was founded by Nigel Toon in 2016. Visit each company's profile on Awaira for a full founder biography.

Tenstorrent: Tenstorrent is a Canadian AI infrastructure company founded in 2016 that designs and manufactures specialized processors and software platforms for artificial intelligence workloads. The company develops custom silicon chips and compute architectures optimized for training and inference of large language models and other machine learning applications. Its core offering includes the Grayskull and Wormhole processor families, which use a distributed computing approach to achieve high performance efficiency. The company's software stack enables developers to deploy AI models across its hardware without extensive optimization. Tenstorrent has positioned itself as an alternative to dominant GPU manufacturers in the AI accelerator market, targeting data centers and cloud providers seeking alternatives for AI infrastructure. The company has secured $1.18 billion in total funding across multiple rounds, achieving a $3.2 billion valuation while remaining in Series D funding stage. Founded by industry veterans, Tenstorrent operates as a fabless semiconductor company, partnering with foundries for chip manufacturing. The firm competes against established players like NVIDIA, AMD, and other emerging AI chip startups. Its growth trajectory reflects increasing demand for specialized AI computing resources, though adoption remains limited compared to incumbent GPU providers. The company continues expanding its processor roadmap and software ecosystem to capture market share in the rapidly growing AI infrastructure sector. Tenstorrent develops custom AI processors designed as a performance-efficient alternative to GPUs, using distributed computing architecture for large language model workloads. 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.

Both Tenstorrent and Graphcore launched in 2016. Same year, but even a few months' head start matters in AI — early movers lock in data, talent, and customer relationships fast.

Tenstorrent has about 400 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 Tenstorrent and Graphcore compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.