Cerebras Systems vs Etched

Side-by-side comparison of AI visibility scores, market position, and capabilities

Cerebras Systems leads in AI visibility (60 vs 20)
Cerebras Systems logo

Cerebras Systems

ChallengerAI Infrastructure

AI Chips & Hardware

Wafer-scale AI chip maker with WSE-3 (4T transistors). Founded 2015, $23B valuation, ~$2.9B total funding. $10B+ deal with OpenAI. IPO expected Q2 2026 (CBRS).

AI VisibilityBeta
Overall Score
B60
Category Rank
#1 of 3
AI Consensus
49%
Trend
up
Per Platform
ChatGPT
61
Perplexity
71
Gemini
53

About

Cerebras Systems is an AI hardware company founded in 2015 by Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, and Jean-Philippe Fricker, headquartered in Los Altos, California. The company designs the world's largest AI processor, the Wafer-Scale Engine (WSE-3), containing 4 trillion transistors and 900,000 AI-optimized cores on a single wafer-sized chip with 44GB on-chip SRAM.

Full profile
Etched logo

Etched

EmergingAI Infrastructure & Models

AI Chips & Hardware

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.

AI VisibilityBeta
Overall Score
D20
Category Rank
#2 of 3
AI Consensus
58%
Trend
up
Per Platform
ChatGPT
26
Perplexity
29
Gemini
12

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.

Full profile

AI Visibility Head-to-Head

60
Overall Score
20
#1
Category Rank
#2
49
AI Consensus
58
up
Trend
up
61
ChatGPT
26
71
Perplexity
29
53
Gemini
12
53
Claude
28
69
Grok
23

Key Details

Category
AI Chips & Hardware
AI Chips & Hardware
Tier
Challenger
Emerging
Entity Type
brand
brand

Capabilities & Ecosystem

Cerebras Systemscompetes withEtched

Capabilities

Shared
AI Chips & Hardware

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