Why SoftBank is Planning to Buy Troubled British AI Chip Firm Graphcore for $500 Million

Graphcore has faced difficulties gaining traction and has experienced a decline in hardware sales.


SoftBank, the Japanese investment giant, is making significant moves in the AI chip industry with its reported $500 million bid to acquire British AI chip designer Graphcore, a struggling British semiconductor startup once valued at $2.8 billion (¥435.9 billion), according to people familiar with the deals.

SoftBank’s interest: SoftBank has been looking to expand its presence in the AI chip market, previously attempting to establish a $100 billion venture to compete with Nvidia. Graphcore’s acquisition could be a strategic move in that direction.

Graphcore’s struggles: Graphcore, once seen as a potential rival to Nvidia, faced challenges in recent years. The economic slowdown impacted sales of their AI processing units (IPUs), leading them to explore cloud-based solutions.

Employee impact: The sale is reportedly valued lower than the total investment in Graphcore, and employee stock options may not be honored.

This acquisition aligns with SoftBank’s ongoing investment in advanced AI technologies and highlights the growing importance of specialized AI hardware for next-generation computing.

The acquisition is subject to UK government approval due to national security considerations. If approved, it will be interesting to see how SoftBank leverages Graphcore’s technology and expertise in the growing AI chip market.

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The struggle of Graphcore

The Rise and Challenges of Graphcore’s IPUs:

Graphcore’s IPU (Intelligence Processing Unit) was designed specifically for AI workloads. Compared to traditional CPUs, IPUs offered:

Massively Parallel Architecture: This allowed for handling a large number of calculations simultaneously, ideal for complex AI tasks.

Focus on High Throughput and Low Latency: This meant faster processing of AI models, leading to quicker training and inference.

These features positioned Graphcore as a potential competitor to Nvidia, the dominant player in AI chips with their GPUs (Graphics Processing Units). Graphcore secured significant investments based on this promise.

Economic Impact: However, the global economic slowdown likely affected Graphcore’s sales in a few ways:

Reduced Investment in AI Projects: Companies might have tightened budgets, leading to fewer purchases of expensive AI hardware like IPUs.

Focus on Short-Term Solutions: Businesses might have prioritized readily available and potentially cheaper AI solutions in the cloud.

Graphcore has faced difficulties gaining traction and has experienced a decline in hardware sales. According to its latest financial report, Graphcore’s revenue for 2022 was only $2.7 million, marking a 46% decrease from the previous year. Pretax losses increased to $204.6 million. The company disclosed in the filing that it had shut down operations in Norway, Japan, and Korea and planned to cut staff in other markets.

Last year, UK-based Graphcore projected that it would need to raise additional funds to break even by 2027, as Nvidia’s dominance in AI had dampened investment in startups aiming to compete directly.

The Shift to Cloud-Based Solutions:

Faced with these headwinds, Graphcore explored cloud-based offerings:

Cloud IPUs: Instead of selling physical hardware directly, Graphcore offered access to their IPUs through cloud providers like Cirrascale. This allowed companies to leverage the power of IPUs on a pay-as-you-go basis, reducing upfront investment costs. It also provided greater flexibility for scaling AI workloads as needed.

Gcore Cloud Service: They launched Gcore, a cloud service offering a complete AI development environment with IPUs. This included tools, libraries, and pre-trained models, making it easier for developers to build and deploy AI applications using Graphcore technology in the cloud.

By moving towards cloud solutions, Graphcore aimed to:

Reach a Wider Audience: Cloud services make IPU technology more accessible to smaller companies or those with limited upfront budgets.

Increase Market Penetration: Cloud deployment allows businesses to experiment with IPUs without a large commitment, potentially leading to wider adoption.

Stay Competitive: Cloud offerings address the growing trend of cloud-based AI development and deployment, allowing Graphcore to compete with established players like Nvidia offering cloud-based AI services.

However, the success of this strategy depends on several factors:

Cloud Provider Adoption: Widespread adoption of Graphcore’s cloud-based IPUs by major cloud providers is crucial for reaching a larger audience.

Performance Optimization: Cloud deployments might introduce latency and performance overhead compared to dedicated hardware. Graphcore needs to ensure their cloud solutions offer competitive performance.

Software Integration: Seamless integration of their IPUs with existing cloud-based AI frameworks and tools is essential for developer adoption.

Overall, Graphcore’s shift to cloud solutions reflects their need to adapt to changing market conditions and stay relevant in the competitive AI chip landscape.

Why Softbank is Aquiring Graphcore?

Graphcore is a leading name in AI chip design, particularly for data centers. The company is known for its Intelligence Processing Units (IPUs), which are engineered to accelerate machine learning workloads. These IPUs are critical for handling complex AI tasks, such as machine learning and natural language processing, with remarkable efficiency.

The Company:

  • Founded: 2016 by Simon Knowles and Nigel Toon.
  • Headquarters: Bristol, UK, with offices in London, Cambridge, and across Europe, USA, and Asia.
  • Focus: Develops Intelligence Processing Units (IPUs) specifically designed to accelerate artificial intelligence (AI) and machine learning (ML) workloads.

The Technology:

  • IPUs: Graphcore’s core product is the IPU, a massively parallel processor architecture designed to handle the complex computations needed for AI and ML tasks [1]. Unlike traditional CPUs, IPUs are optimized for high throughput and low latency in these specific applications.
  • Software Development: They also develop the Poplar SDK, a suite of tools and libraries for programming their IPUs.

The Journey:

  • Early promise: Graphcore was seen as a potential rival to Nvidia, a leader in the AI chip market. They secured significant funding rounds from major investors like Sequoia Capital, Microsoft, and Samsung.
  • Recent challenges: The economic slowdown likely impacted sales of their IPUs, prompting them to explore cloud-based solutions to expand their reach.

Overall, Graphcore is a British AI chip company with innovative technology but facing recent challenges. The SoftBank acquisition offers them new opportunities but also raises questions about their future direction.

Strategic Importance of the Graphcore Acquisition by Softbank

Market Potential: The AI chip market will expect to grow significantly in the coming years. By acquiring Graphcore, SoftBank positions itself to capitalize on this growth potential, tapping into a burgeoning market with high demand for efficient and powerful AI chips.

Synergy with Arm Holdings: SoftBank holds a substantial stake in Arm Holdings, a leading designer of processor architectures used in various electronic devices. Acquiring Graphcore could create synergies between the two companies, potentially leading to more powerful and efficient AI solutions.

Global Reach: Graphcore’s expertise in AI chip design, coupled with SoftBank’s global reach, could create a formidable force in the industry. This acquisition enhances SoftBank’s capabilities in providing cutting-edge AI solutions, particularly for data center operations.

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    Softbank Graphcore Deal and Regulatory Hurdles

    SoftBank’s offer to purchase Graphcore is currently under review by UK regulatory authorities. Given SoftBank’s substantial stake in Arm Holdings, another prominent British semiconductor firm, the acquisition process is expected to proceed smoothly.

    Arm Holdings’ expertise in chip design and its strategic importance in the global semiconductor market are likely to provide synergistic benefits to SoftBank’s latest acquisition.

    Softbank Graphcore Deal: Industry Reactions and Implications

    The announcement of SoftBank’s intention to acquire Graphcore has elicited mixed reactions within the industry.

    Some analysts view the acquisition as a strategic move that could accelerate advancements in AI chip technology.

    Others caution that integrating Graphcore’s technology with SoftBank’s existing portfolio will require careful management to realize its full potential.

    Overall, the acquisition is seen as a positive development that could drive innovation and competitiveness in the AI hardware market.

    SoftBank’s AI Vision

    SoftBank’s acquisition of Graphcore is part of a larger trend of increasing investments in AI technologies.

    The company has previously invested in various AI startups and established firms, reflecting its commitment to leading the AI revolution.

    Graphcore’s innovative IPUs will complement SoftBank’s existing AI assets, enhancing their capability to develop next-generation AI solutions.

    This acquisition reinforces SoftBank’s vision of leveraging AI to drive technological advancements and create value across industries.

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    Graphcore’s Future Under SoftBank

    Under SoftBank’s ownership, Graphcore is expected to benefit from increased financial resources and market reach.

    This acquisition could accelerate the development of new AI chip technologies and expand Graphcore’s global market presence.

    The integration with SoftBank’s ecosystem will likely provide Graphcore with new opportunities for collaboration and innovation, enabling the company to continue pushing the boundaries of AI hardware design.

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    SoftBank’s proposed acquisition of Graphcore for $500 million represents a significant milestone in the AI and semiconductor industries.

    The deal highlights SoftBank’s strategic focus on AI and data center technologies, reinforcing its position as a leader in the AI revolution.

    With regulatory approval anticipated, this acquisition could pave the way for groundbreaking advancements in AI chip design and deployment, driving innovation and competitiveness in the global market.

    Editorial Team
    Editorial Team
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