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Enfabrica Raises $125 Million Series B to Fuel Ramp of AI Infrastructure Networking Chips

Enfabrica

Oversubscribed Round Led by Atreides Management, with Backing from Sutter Hill Ventures, NVIDIA to Advance Production of Flagship Accelerated Compute Fabric (ACF) Devices

Enfabrica Corporation, a fast-growing startup building converged networking and memory fabric silicon and software tailored to the performance and scalability demands of artificial intelligence (AI) and accelerated computing workloads, announced its successful close of a $125 million Series B financing round. The oversubscribed round, which increases Enfabrica’s valuation more than 5X, was led by Atreides Management, with support from existing investor Sutter Hill Ventures, and includes new investors NVIDIA, IAG Capital Partners, Liberty Global Ventures, Valor Equity Partners, Infinitum Partners and Alumni Ventures.

The new capital will be deployed to advance the production of Enfabrica’s groundbreaking Accelerated Compute Fabric Switch (ACF-S) devices and solutions, which complement GPUs, CPUs and accelerators to solve critical networking, I/O and memory scaling problems in data center AI and high-performance computing clusters. The company will showcase its ACF-S solutions at the AI Hardware and Edge AI Summit 2023 taking place September 12-14 in Santa Clara, California.

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Also Read: Google Cloud and NVIDIA Expand Partnership to Advance AI Computing, Software and Services

“The fundamental challenge with today’s AI boom is the scaling of infrastructure,” said Rochan Sankar, Enfabrica CEO and co-founder. “There’s no denying the transformative value that AI delivers to a multitude of economic sectors. But there is a critical need to bridge the exploding demand to the overall cost, efficiency and ease of scaling AI compute, across all customers seeking to take control of their distributed AI infrastructure and services. Much of the scaling problem lies in the I/O subsystems, memory movement and networking attached to GPU compute, where Enfabrica’s ACF solution shines. Our Series B funding and investors are an endorsement of our team and product thesis, and further enable us to produce high-performance ACF silicon and software that drive up the efficient utilization and scaling of AI compute resources. As an organization, we are hyper-focused to work with the larger ecosystem of partners and customers to solve the AI infrastructure scaling problem.”

Generative AI, Large Language Model (LLM) and Deep Learning Recommendation Model (DLRM) technologies are not only increasing in adoption but are driving a massive infrastructure push in the cloud. As a result, aggregate AI training capacity and user serving scale will continue to grow exponentially. This, in turn, applies the pressure for cost and power efficiency to sustain the workload growth on the lowest possible number of GPUs and processors— which Enfabrica’s ACF solution enables through its high-performance converged memory and network fabric architecture.

The industry’s first, production-grade ACF switching system powered by Enfabrica silicon, produced in collaboration with partners, is an 8 Terabit/second platform enabling direct-attach of any combination of GPUs, CPUs, CXL-attached DDR5 memory and SSD storage to high-performance, multi-port 800-Gigabit-Ethernet networks. ACF switching systems incorporate Enfabrica’s high-performance ACF-S silicon having 100 percent standards-compliant interfaces and host networking software stack components running on standard Linux kernel and userspace interfaces.

SOURCE: BusinessWire

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