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The chips that wire GPUs together are the new prize. Xsight raised $300m to sell an open one.
The AI boom made GPUs famous. The chips that connect thousands of them are quietly becoming just as valuable, and Nvidia dominates that layer too. Israel's Xsight Labs has raised more than $300m at a $2.8bn valuation to sell an open, programmable alternative. It is already flying on SpaceX's
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Programmable networking chip startup Xsight Labs raises $300M
Israeli network chip startup Xsight Labs Ltd. said today it has closed on a $300 million funding round that brings its valuation to $2.8 billion. It's planning to use the funds to help its programmable Ethernet switches and 800-gigabit data processing units push deeper into cloud and artificial
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Israeli chipmaker Xsight Labs raised over $300 million at a $2.8 billion valuation, led by Fidelity, to expand its programmable networking chips that connect thousands of GPUs in AI data centers. The company's E1 processor and X2 switch already power SpaceX's Starlink V3 satellites and are being evaluated by Tier-1 hyperscalers as an open alternative to Nvidia's closed networking architecture.
Xsight Labs, an Israeli chipmaker, has raised over $300 million at a $2.8 billion valuation in a funding round led by Fidelity Management & Research Co., marking a more than fivefold increase from its 2021 valuation
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. The round attracted participation from Intel Capital, T. Rowe Price, Battery Ventures, Valor Equity Partners, Aliya Capital Partners, Atreides Management, Artisan Partners, Diagonal Capital, Key1 Capital, Maverick Capital, Sienna, and Union Group2
. Investors are betting on AI data center networking ballooning into a $150 billion market by 2028, with Xsight Labs positioned to capture a meaningful slice through its power efficiency and programmability focus2
.While GPUs captured attention during the AI boom, the chips that connect thousands of GPUs are quietly becoming just as valuable, creating a critical data movement bottleneck in AI data center infrastructure
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. Xsight Labs builds the plumbing of the AI data center through two key components: the E1 data processing unit (DPU) and the X2 Ethernet switch, which shuttle data between servers, memory and networks1
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. As AI models grow larger, moving data efficiently has become one of the industry's tightest bottlenecks, making the wiring between GPUs a prize of its own in the AI infrastructure stack1
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Source: SiliconANGLE
Nvidia dominates not just the GPU market but also the networking layer through its Mellanox acquisition, creating a closed ecosystem
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. Xsight Labs pitches the opposite approach with open and programmable networking chips that run standard Linux and SONiC, allowing operators to rewrite the X2 switch in software after it ships instead of waiting for new silicon1
. Chief Executive Yossi Meyouhas stated the market wanted "a high-performance alternative to closed, legacy architectures," positioning Xsight among a wave of startups chipping at Nvidia's grip on the AI stack1
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.The E1 data processing unit is the first 800-gigabit data processor to ship, running under 75 watts while delivering four-times the performance per watt of previous-generation designs
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. The chip pairs two 400G ports with 64 Arm-based Neoverse N2 cores built on a 5-nanometer process and 32 megabytes of shared cache, featuring PCIe Gen5 connectivity and encryption engines that run at line rate2
. Those 64 cores sit directly on the data pathway, so routing, telemetry and packet inspection occur on every data packet instead of being handed off to a smaller exception-handling engine, enhancing overall network bandwidth2
. The chip has achieved SONiC-DASH Hero 800G validation, sustaining more than 14 million connections per second with no dropped packets2
.The X2 Ethernet switch moves 12.8 terabits per second while drawing 40% less power than older switches, providing full-duplex bandwidth at under 200 watts
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. It features first-bit-to-first-bit latency of less than 700 nanoseconds with 128 lanes of 100G PAM4 SerDes, plus a reprogrammable data plane that allows it to be reconfigured for different network applications on the fly2
. As AI's electricity bill balloons, every watt saved becomes a compelling pitch, particularly in AI data center racks where accelerator chips consume the bulk of the power budget and cooling capacity1
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Xsight's technology is already deployed beyond lab environments, with several global network operators selecting its silicon, including SpaceX's Starlink program
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. Last week, Xsight's processors passed testing aboard SpaceX's new Starlink V3 satellites, which will be capable of moving more than 1 Tbps of fronthaul traffic and around 160 gigabytes-per-second of uplink capacity1
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. Programmable chips suit space applications where engineers can fix faults through software rather than swapping hardware, and the X2 was chosen for its ability to operate in radioactive environments and thermal extremes while enabling in-orbit adjustments1
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.Founded in 2017 and based in Tel Aviv, Xsight Labs was established by veterans of EZchip, the Israeli networking firm Mellanox bought in 2016
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. The company's chairman is Avigdor Willenz, a serial chip entrepreneur who has sold past companies to Marvell, Amazon and Intel, bringing both pedigree and investor confidence1
. The funding will be used to develop next-generation chips supporting the latest standards backed by the Ultra Ethernet Consortium, expand engineering teams across facilities in Israel, the U.S., Europe and Asia, and increase manufacturing and supply chain capacity for orders from Tier-1 hyperscalers1
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.Xsight's E1 and X2 have been deployed by multiple data center operators globally within edge and network infrastructure, and its products are now being evaluated by a number of Tier-1 hyperscalers
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. The startup is increasing its presence in AI data centers as Ethernet closes the gap with proprietary interconnects that link most AI chip clusters today2
. Last year, the Ultra Ethernet Consortium published its 1.0 specification defining remote-memory-access transport with multipath routing and congestion control designed for AI training and inference traffic, with Xsight saying the X2 is one of the first switches to meet the new standard2
. The question remains whether Xsight's promise of lower power consumption and competitive cost per token processing will hold up against incumbents like Cisco Systems, Broadcom and Marvell, who currently dominate large portions of the data center networking market with deeper customer relationships and broader product portfolios2
. The money pouring into AI infrastructure is no longer chasing only GPUs but everything around them, from power stations to the wires in the rack, with Xsight betting the winners in networking will be the open ones1
.Summarized by
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