Etched vs Lattice Semiconductor
Side-by-side comparison of AI visibility scores, market position, and capabilities
Transformer-specific ASIC startup raised $500M at $5B valuation in Jan 2026; Sohu chip claims 20x Nvidia H100 inference speed for transformer workloads; fabricated on TSMC 4nm process alongside Apple and Nvidia silicon.
About
Etched is a semiconductor startup founded in 2022 that is building application-specific integrated circuits (ASICs) optimized exclusively for transformer-based neural network inference. Unlike general-purpose GPUs that must support a broad range of workloads, Etched's Sohu chip is hardwired at the silicon level to execute the transformer architecture — the mathematical backbone of virtually every major AI model including GPT, Gemini, and Claude. By eliminating the flexibility overhead of general-purpose hardware, Etched claims inference speeds up to 20x faster than Nvidia's H100 for transformer workloads, with corresponding reductions in cost per token.\n\nThe Sohu chip is fabricated on TSMC's 4nm process node, the same cutting-edge manufacturing technology used by Apple and Nvidia for their flagship chips. Etched targets large-scale inference deployments — hyperscalers, AI cloud providers, and enterprises running high-volume language model workloads where inference cost is the dominant operational expense. The chip is designed to slot into existing data center infrastructure and provide dramatic efficiency gains for organizations serving billions of AI queries daily.\n\nEtched raised $500M at a $5B valuation in January 2026, a financing round that placed it among the most highly valued AI chip startups globally. The raise reflects investor conviction that transformer inference will remain a dominant workload for years to come and that purpose-built silicon can capture significant market share from Nvidia in this specific segment. Etched is competing in the AI chip market alongside Google's TPUs, Amazon's Trainium/Inferentia, and startups like Groq and Cerebras.
Leading small FPGA and programmable logic supplier; ~$500M revenue. Nexus and Certus families power edge AI, server management, and industrial automation with ultra-low power.
About
Lattice Semiconductor was founded in 1983 in Hillsboro, Oregon and has established itself as the leading provider of low-power, small-footprint field-programmable gate arrays (FPGAs) and programmable logic devices. Unlike Intel (Altera) and AMD (Xilinx) which target high-performance data center and aerospace FPGAs, Lattice focuses on the power-constrained edge: server management cards, industrial automation controllers, automotive ADAS, communications, and consumer electronics.\n\nLattice's product families—including the Nexus, CertusPro, and MachXO3D platforms—are differentiated by their ultra-low power consumption (often under 1W), small package sizes, and security features. The company has aggressively pivoted toward edge AI inference, launching the sensAI solution stack that enables neural network inference on resource-constrained devices without a GPU. Its Avant FPGA family targets mid-range applications with higher density and DSP capability.\n\nLattice generated approximately $500 million in annual revenue and has seen strong adoption in server OCP (Open Compute Project) platform management controllers and server security applications. The company operates a fabless model, manufacturing at TSMC and GlobalFoundries. Lattice has benefited from the broad push to run AI inference at the network edge and in data center management chips, positioning its ultra-low-power programmable logic as infrastructure for the AI era.
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