Baseten vs Graphcore

By valuation, Baseten is the larger company at $5B versus $500M — a 10x difference. Size can also be measured by team: Baseten employs 150 people while Graphcore has 500-1000 employees.

Graphcore has raised more in total funding at $700M, compared to Baseten's $585M — a gap of $115M. Combined, the two companies have completed 9 known funding rounds.

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

Baseten was founded by Tuhin Srivastava in 2019. Graphcore was founded by Nigel Toon in 2016. Visit each company's profile on Awaira for a full founder biography.

Baseten: Baseten is an AI infrastructure company that provides a platform for deploying, scaling, and managing machine learning models in production. Founded in 2019, the company offers a serverless computing environment specifically designed for AI workloads, enabling developers and organizations to run large language models and other AI applications without managing underlying infrastructure. The platform handles model serving, auto-scaling, and resource optimization, abstracting away operational complexity. Baseten supports various model types and frameworks, allowing users to deploy custom models or utilize pre-built solutions. The company targets enterprises and developers requiring reliable, scalable inference infrastructure for AI applications. Its technology stack emphasizes performance optimization and cost efficiency for computationally intensive AI workloads. Baseten has secured $585 million in total funding, achieving a $5.0 billion valuation, positioning it among well-capitalized AI infrastructure providers. The company operates in a competitive landscape alongside similar platforms offering model deployment and inference services. Its growth trajectory reflects increasing enterprise demand for managed AI infrastructure solutions as organizations accelerate AI adoption. The Series E funding stage indicates maturity and substantial market validation. Baseten competes with other infrastructure providers offering model serving capabilities, differentiated through its focus on ease of use and performance optimization for production AI workloads. Baseten addresses the critical infrastructure gap between AI model development and reliable production deployment at scale. 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 3 years of extra runway. Baseten didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Baseten has about 150 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 Baseten and Graphcore compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.