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SiFive to Fuel Data Center Push With $400 Million Funding Round
Chip startup SiFive Inc. received $400 million in funding from a group of investors led by Atreides Management, money the company plans to use to get a bigger foothold in AI data centers. Nvidia Corp., Apollo Global Management and Point72 also participated in the fundraising, which valued SiFive at $3.65 billion, according to a statement Thursday. The round was oversubscribed, meaning the startup was offered more money than it ultimately raised. SiFive, which uses a chip technology standard called RISC-V, is part of a group of upstarts trying to break into a lucrative market dominated by Nvidia. Data centers rely on that company's AI accelerators to develop and run artificial intelligence models. But there's a growing demand for alternatives. SiFive aims to sell technology that can be rapidly turned into microprocessors by companies trying to build their own components. So-called hyperscalers -- the world's largest data center operators -- currently develop in-house processors using designs from Arm Holdings Plc. The RISC-V standard would offer a rival option. But so far, this technology is mainly used in less sophisticated components, rather than powerful microprocessors or AI accelerators. SiFive sees that changing. "Hyperscale customers have made it very clear that it is time to accelerate the availability of open standard alternatives for the data center," Chief Executive Officer Patrick Little said in the statement. That company is hoping to exploit a growing trend: While Nvidia's accelerators are still at the center of most AI machinery, there's an increasing interest in using more generalist microprocessors. The idea is to tap central processing units, or CPUs, to handle more AI tasks -- especially ones occurring after the complex models have been trained. Nvidia is offering a new version of its CPU as a standalone product for the first time. And Arm is rolling out this kind of chip as well. Veteran CPU sellers Intel Corp. and Advanced Micro Devices Inc., meanwhile, have pointed to strong demand for their server chips. SiFive will use the money to create new products and speed up work on making compatible software, according to the statement. Still, the Santa Clara, California-based company is facing a crowded field. According to Jon Peddie Research, there are 135 companies actively creating or planning to make AI processors. Investors have given startups in this area $28.8 billion since 2000. By 2030, about 25 specialized AI processor companies will have survived, the research company projects.
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RISC-V chip design startup SiFive nabs $400M investment - SiliconANGLE
SiFive Inc., a startup that sells chip designs based on the open-source RISC-V architecture, has raised $400 million in funding at a $3.65 billion valuation. Atreides Management led the Series G round. SiFive stated in today's funding announcement that Nvidia Corp., enterprise technology investor Apollo and other institutional backers contributed as well. The company's total outside funding now exceeds $760 million. Central processing units crunch data using a library of pre-packaged computing operations. Some of those operations perform simple mathematical calculations. Others carry out more specialized tasks such as moving data between different memory addresses. A CPU's library of computing operations is known as its instruction set architecture, or ISA. SiFive was founded in 2015 by the creators of RISC-V, a popular open-source ISA. It includes not only a library of pre-packed computing operations, or instructions, but also supporting components such as memory management modules. RSIC-V can significantly reduce the amount of time needed to develop a custom CPU. However, the task is still highly resource-intensive and requires specialized skills. SiFive sells ready-to-use RISC-V processor designs that customers can use to speed up their semiconductor projects. The company's product portfolio includes more than a dozen CPU blueprints. Some include reliability features that make them suitable for use in vehicles, while others are geared towards battery-powered connected devices. SiFive also offers a growing lineup of data center chips. The company's most advanced design, the Performance P870-D, makes it possible to build server CPUs with up to 256 cores. It includes a module called an interrupt controller that optimizes the order in which calculations are carried out based on their importance. Data protection accelerators speed up tasks such as encrypting network traffic. The Performance P870-D includes a so-called cluster accelerator port that can be used to connect it to another processor. A cloud provider, for example, could integrate the CPU with a custom graphics card. The Performance P870-D also works with SiFive's own SiFive Intelligence line of machine learning accelerators. The company introduced its flagship AI chip last September. The XM Gen 2 is optimized to process matrices, the mathematical objects in which AI models keep information. XM Gen 2 makes it possible to assemble an accelerator from multiple 4-core processing clusters that can each perform 16 trillion calculations per second. SiFive's customer base reportedly includes several of the world's largest tech firms. Those customers have used its blueprints to create more than 500 chip designs. "Hyperscale customers have made it very clear that it is time to accelerate the availability of open standard alternatives for the data center," said SiFive chief executive officer Patrick Little. "Their consistent ask is for customizable CPU solutions in IP form, that will enable them to meaningfully differentiate their data center compute solutions."
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SiFive Inc., a chip design startup using the open-source RISC-V architecture, raised $400 million at a $3.65 billion valuation to expand into AI data centers. Led by Atreides Management with participation from Nvidia, the funding aims to accelerate development of open-standard alternatives to dominant chip architectures in the lucrative AI accelerator market.
SiFive Inc., a chip design startup pioneering open-source RISC-V architecture, has secured $400 million funding in a Series G round that values the company at $3.65 billion
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. Atreides Management led the oversubscribed investment, with participation from Nvidia Corp., Apollo Global Management, and Point72, bringing the Santa Clara-based company's total outside funding to over $760 million1
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. The capital injection positions SiFive to compete more aggressively in the data center market, where demand for open-standard alternatives to proprietary chip architectures continues to intensify.
Source: SiliconANGLE
SiFive aims to carve out a foothold in the lucrative AI accelerator ecosystem currently dominated by Nvidia's processors, which power most data centers developing and running artificial intelligence models
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. The company sells ready-to-use microprocessor designs that customers can rapidly deploy in their semiconductor projects, offering an alternative to Arm Holdings Plc designs that hyperscale operators—the world's largest data center providers—currently use for in-house processors1
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. Chief Executive Officer Patrick Little emphasized this market opportunity, stating: "Hyperscale customers have made it very clear that it is time to accelerate the availability of open standard alternatives for the data center"1
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Source: Bloomberg
While RISC-V, an instruction set architecture that includes a library of pre-packaged computing operations and memory management modules, has primarily been used in less sophisticated components, SiFive sees this changing as demand grows for generalist microprocessors capable of handling AI tasks
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. The company's product portfolio includes more than a dozen CPU blueprints tailored for different applications, from vehicles to battery-powered devices and data centers . Its most advanced design, the Performance P870-D, enables server chips with up to 256 cores and includes features like interrupt controllers and data protection accelerators . The Performance P870-D also features a cluster accelerator port for integration with custom graphics cards and compatibility with SiFive Intelligence machine learning accelerators .Related Stories
SiFive is capitalizing on an emerging trend where central processing units are increasingly tapped to handle more AI workloads, particularly tasks occurring after complex models have been trained
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. This shift has prompted established players like Intel Corp. and Advanced Micro Devices Inc. to report strong demand for their server chips, while Nvidia now offers its CPU as a standalone product for the first time1
. The company introduced its flagship AI chip, the XM Gen 2, last September, which is optimized to process matrices and can assemble an accelerator from multiple 4-core processing clusters, each performing 16 trillion calculations per second . SiFive's customer base reportedly includes several of the world's largest tech firms, who have used its blueprints to create more than 500 chip designs .The $400 million funding will support new product development and accelerate work on compatible software, critical for competing in an increasingly crowded market
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. According to Jon Peddie Research, 135 companies are actively creating or planning AI processors, with investors pouring $28.8 billion into this sector since 20001
. However, the research firm projects only about 25 specialized AI processor companies will survive by 2030, highlighting the competitive pressures SiFive faces1
. Patrick Little noted that customers consistently request "customizable CPU solutions in IP form, that will enable them to meaningfully differentiate their data center compute solutions," suggesting SiFive's open-source approach may provide a competitive advantage as hyperscale operators seek alternatives to proprietary architectures .Summarized by
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