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Enfabrica raises $115M as it debuts 'world's fastest' GPU networking chip - SiliconANGLE
Enfabrica raises $115M as it debuts 'world's fastest' GPU networking chip High-performance networking chip startup Enfabrica Corp. today announced a significant new cash injection, raising $115 million as part of an oversubscribed equity financing round. Today's Series C round was led by Spark
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Nvidia-Backed Enfabrica Locks Up $115M As It Prepares New Chip
Enfabrica also announced its new "groundbreaking" ACF SuperNIC chip. The startup's networking infrastructure helps tie AI chips together -- allowing for the consistent flow of data needed for modern AI workloads. "This Series C fundraise fuels the next stage of growth for Enfabrica as a leading AI
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AI Startup Enfabrica Raises $115 Million, Plans to Release Chip Next Year
(Reuters) - Enfabrica, a California-based startup that aims to make AI chips work more efficiently together at scale, said on Tuesday it raised $115 million in funding and plans to release its newest chip early next year. Founded by veterans from Broadcom and Alphabet, Enfabrica is tackling one of
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Enfabrica, an AI networking startup, secures $115 million in Series C funding and introduces the ACF SuperNIC chip, promising to revolutionize GPU networking for AI applications with unprecedented performance and scalability.

Enfabrica Corp., a high-performance networking chip startup, has successfully raised $115 million in an oversubscribed Series C equity financing round. The funding was led by Spark Capital, with participation from new investors Maverick Silicon and VentureTech Alliance, as well as existing investors including Atreides Management, Sutter Hill Ventures, Alumni Ventures, IAG Capital, and Liberty Global Ventures
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.Alongside the funding announcement, Enfabrica introduced its groundbreaking ACF SuperNIC chip, touted as the world's fastest GPU networking chip. The new chip boasts a 3.2 terabyte-per-second accelerated compute fabric, positioning Enfabrica as a key player in the rapidly growing AI infrastructure industry
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.The ACF SuperNIC chip is designed to tackle crucial challenges in AI computing networks, including:
These improvements are particularly significant as AI technologies advance and large language models require increasing amounts of data processing
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.Enfabrica's ACF SuperNIC chip offers impressive technical specifications:
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The chip delivers four times the bandwidth and multipath resiliency compared to current network interface controllers, enabling unprecedented performance, scale, and resiliency for AI clusters
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.Enfabrica's technology aims to optimize GPU compute networks, which are crucial for modern AI applications. As demand for generative AI and AI agents grows, the startup's timing for launching its AI network interconnect chips appears strategic
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.The company's solution addresses a significant challenge in the AI field: efficiently connecting tens of thousands of chips in a network. By allowing AI computing chips to communicate with more parts of a network simultaneously, Enfabrica's technology could potentially increase the number of interconnected AI chips from about 100,000 to 500,000 before network performance degrades
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Enfabrica was founded in 2020 by CEO Rochan Sankar, Chief Development Officer Shrijeet Mukherjee, and other experienced engineers. The startup emerged from stealth mode in March 2023 and has since gained significant attention and funding
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.Sankar emphasized the company's pioneering role, stating, "We were the first to draw up the concept of a high-bandwidth network interface controller chip optimized for accelerated computing clusters"
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.Enfabrica plans to make the ACF SuperNIC chip available in initial quantities in the first quarter of 2025. Pre-orders are currently being accepted from Enfabrica and select partners
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.With this latest funding round and innovative product launch, Enfabrica aims to establish itself as a leading provider of AI networking chips and network software, potentially reshaping the landscape of AI infrastructure and enabling more efficient and powerful AI systems
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