After months of searching for a buyer, troubled U.K.-based AI processor designer Graphcore said on Friday that it has been acquired by SoftBank. The company will operate as a wholly owned subsidiary of SoftBank and will possibly collaborate with Arm, but what remains to be seen what happens to the unique architecture of Graphcore's intelligence processing units (IPUs).

Graphcore will retain its name as it will become a wholly owned subsidiary of SoftBank, which paid either $400 million (according to EE Times) or $500 million (according to BBC) for the company. Over its lifetime, Graphcore has received a total of $700 million of investments from Microsoft and Sequoia Capital, and at its peak in late 2020, was valued at $2.8 billion. Nigel Toon will remain at the helm of Graphcore, which will hire new staff in its UK offices and continue to be headquartered in Bristol, with additional offices in Cambridge, London, Gdansk (Poland), and Hsinchu (China).

"This is a tremendous endorsement of our team and their ability to build truly transformative AI technologies at scale, as well as a great outcome for our company," said Nigel Toon. "Demand for AI compute is vast and continues to grow. There remains much to do to improve efficiency, resilience, and computational power to unlock the full potential of AI. In SoftBank, we have a partner that can enable the Graphcore team to redefine the landscape for AI technology."

Although Graphcore says that it had won contracts with major high-tech companies and deployed its IPUs, it could not compete against NVIDIA and other prêt-à-porter AI processor vendors due to insufficient funding. In the recent years the company's problems were so severe that it had to lay off 20% of its staff, bringing its headcount to around 500. Those cuts also saw office closures in Norway, Japan, and South Korea, which made it even harder to compete against big players.

Graphcore certainly hopes that with SoftBank's deep pockets and willingness to invest in AI technologies in general and AI processors in particular, it will finally be able to compete head-to-head with established players like NVIDIA.

When asked whether Graphcore will work with SoftBank's Arm, Nigel Toon said that he was looking forward to work with all companies controlled by its parent, including Arm. Meanwhile, SoftBank itself is reportedly looking forward to build its own AI processor venture called Project Izanagi to compete against NVIDIA, whereas Arm is reportedly developing AI processors that will work in datacenters owned by SoftBank. Therefore, it remains to be seen where does Graphcore fit in.

For now, the best processor that Graphcore has is its Colossus MK2 IPU, which is built using 59.4 billion transistors and packs in 1,472 independent cores with simultaneous multithreading (SMT) capable of handling 8,832 parallel threads. Instead of using HBM or other types of external memory, the chip integrates 900 MB of SRAM, providing an aggregated bandwidth of 47.5 TB/s per chip. Additionally, it features 10 IPU links to scale with other MK2 processors. When it comes to performance, the MK2 C600 delivers 560 TFLOPS FP8, 280 TFLOPS FP16, and 70 TFLOPS of FP32 performance at 185W. To put the numbers into context, NVIDIA's A100 delivers 312 FP16 TFLOPS without sparsity as well as 19.5 FP32 TFLOPS, whereas NVIDIA's H100 card offers 3,341 FP8 TFLOPS.

Sources: GraphcoreEE TimesBBCReuters

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  • HideOut - Friday, July 12, 2024 - link

    Isnt softbank just a patent troll company? Reply
  • meacupla - Friday, July 12, 2024 - link

    Yes and No. They are a conglomerate, patent trolling isn't the only thing they do. They also troll every sector they operate in. Reply
  • vol.2 - Wednesday, July 17, 2024 - link

    Nah. They legitimately control and operate tons of actual businesses. They could be seen as "hording patents" or something, but trolls are companies that are largely focused on collecting IP to sue over it as a means of income. I mean, all big companies with giant patent portfolios go around suing people they think are violating them Reply
  • wrosecrans - Friday, July 12, 2024 - link

    How could an AI processor company be troubled?!? I keep getting told by empty headed pundits that there is huge demand for literally anything and everything related to AI, and the products in that space all have real markets for current applications and use cases!

    Now this may sound crazy... But is it possible, just maybe possibly, that existing unsexy non AI software stacks are still way more important to real world business operations? I know, silly to even suggest it. But maybe? Somehow, companies with non-AI product lines seem to be getting lots of real world customer revenue. And the companies that only serve AI related product lines seem to have no functioning business model other than consuming venture capital. Perhaps we'll never understand why.
    Reply
  • GeoffreyA - Saturday, July 13, 2024 - link

    I think the problem is that Nvidia is running the show: most AI libraries use Cuda for high performance, and Nvidia's clever move was to tie Cuda to their hardware and build this ecosystem where programmers couldn't help but use it. Reply
  • Bruzzone - Monday, July 15, 2024 - link

    AI start-ups have no manufacturing scale advantage. The cadre of Asia Pacific design manufacturers now determines what gets produced on volume economics. Why produce 10s or hundreds of thousands or components and subsystems when you can build millions optimizing inputs, lowering cost, reducing business risk. Rethinking in-region right sizing or sell yourself to the big boss to get production starts? mb Reply
  • Bruzzone - Monday, July 15, 2024 - link

    https://www.nextplatform.com/2024/07/12/can-softba... Reply

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