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How Much Did Graphcore Systems Raise? Headquarters, Funding & Key Investors

Graphcore Systems has raised $767M across multiple rounds, backed by major investors such as Ontario Teachers’ Pension Plan, Baillie Gifford, Schroders, Merian Global Investors, Mayfair, and Chrysalis Investments. Its most significant round, a $222M Series E, pushed its last known valuation to $2.8B as of Dec 2020. The company’s funding has supported next-generation IPUs, AI infrastructure innovation, and global expansion across scientific research, biotech, finance, and enterprise AI workloads. Despite being acquired, Graphcore remains a pivotal player in high-performance AI compute technologies.

Graphcore Systems delivers advanced processors and IPUs (Intelligence Processing Units) built specifically for AI workloads. Its architecture enables ultra-high-performance computing for enterprises, research organizations, and next-generation AI applications. Graphcore’s platform accelerates training, inference, and distributed AI supercomputing.

What Is Graphcore Systems and What Does It Do?

Graphcore Systems, founded in 2016 in the United Kingdom by Hermann Hauser, Simon Knowles, and Nigel Toon, is a technology company specializing in AI processors and IPUs for enterprise and research workloads.

The company employs 501–1,000 employees as of July 2024. Graphcore develops second-generation IPUs with built-in networking for supercomputing, enabling scalable AI training, high-efficiency inference, and advanced data processing. Their solutions support finance, biotech, scientific computing, and large-scale generative AI.

How Much Funding Has Graphcore Systems Raised?

1. Series E

  • Amount Raised: $222M
  • Lead Investors: Ontario Teachers' Pension Plan, Baillie Gifford, Schroders, Fidelity, Molten Ventures
  • Motivation: To expand global AI compute infrastructure and accelerate development of next-generation IPUs.

2. Series D

  • Amount Raised: $161M
  • Lead Investors: Mayfair, Baillie Gifford, Chrysalis
  • Motivation: To scale production of IPU systems and strengthen enterprise AI partnerships.

3. Series D

  • Amount Raised: $25M
  • Lead Investors: Merian Global Investors
  • Motivation: To support early-stage growth and market expansion across Europe and the US.

Total Funding Raised: $767M

Current Valuation: $2.8B (as of Dec 2020)

Latest Funding Date: December, 2020

Key Investors

1. Ontario Teachers’ Pension Plan

  • Details: One of the world’s largest pension funds investing across tech, infrastructure, and growth markets.
  • Investment Focus Areas: Technology, AI, enterprise infrastructure.
  • Notable Investments: SpaceX, Graphcore Systems, Teachmint, Epic Games.

2. Baillie Gifford

  • Details: Leading global investment management firm with a focus on high-growth opportunities.
  • Investment Focus Areas: Deep tech, AI, electric vehicles, biotech.
  • Notable Investments: Tesla, Nvidia, Bytedance, Graphcore Systems.

3. Schroders

  • Details: Global asset manager with diversified investments in technology and emerging sectors.
  • Investment Focus Areas: Fintech, enterprise software, AI infrastructure.
  • Notable Investments: Nutmeg, Graphcore Systems, Cazoo.

4. Merian Global Investors

  • Details: UK-based investment firm known for early and growth-stage tech investments.
  • Investment Focus Areas: AI, semiconductors, high-performance computing.
  • Notable Investments: Graphcore Systems, TransferWise, The Hut Group.

Where Is Graphcore Systems’ Headquarters?

Graphcore Systems is headquartered in the United Kingdom, benefiting from a strong AI research ecosystem, access to top engineering talent, and proximity to global enterprise clients adopting advanced AI infrastructure.

What’s Next for Graphcore Systems?

Following its acquisition, Graphcore’s technology will continue powering next-generation AI compute systems. The company is expected to focus on optimizing its IPU architecture for large-scale generative AI models, supercomputing clusters, and enterprise AI workloads. Its deep investor backing and technological IP position it for long-term influence in AI infrastructure evolution.

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