Etched
Founded Year
2022Stage
Series A | AliveTotal Raised
$125.36MLast Raised
$120M | 1 yr agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+42 points in the past 30 days
About Etched
Etched focuses on developing the transformer supercomputer, specializing in the high-performance computing sector. The company's main offering includes powerful servers designed for transformer inference, which are capable of processing extensive data for applications such as real-time voice agents and content generation. The company's products are aimed at supporting complex computational tasks like running trillion parameter models and are complemented by a fully open-source software stack. It was founded in 2022 and is based in Cupertino, California.
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ESPs containing Etched
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The supercomputer processors market focuses on developing high-performance computing processors. These microprocessors are designed to perform highly complex calculations at unprecedented speeds, catering to various applications, including scientific research, climate modeling, bioinformatics, national security, and, increasingly, AI. These processors accelerate AI applications' training and infer…
Etched named as Challenger among 9 other companies, including Advanced Micro Devices, NVIDIA, and Intel.
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Research containing Etched
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Etched in 3 CB Insights research briefs, most recently on May 16, 2025.
May 16, 2025 report
Book of Scouting Reports: 2025’s AI 100
Apr 24, 2025 report
AI 100: The most promising artificial intelligence startups of 2025
Sep 13, 2024
The AI computing hardware market mapExpert Collections containing Etched
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Etched is included in 5 Expert Collections, including Generative AI.
Generative AI
2,330 items
Companies working on generative AI applications and infrastructure.
Semiconductors, Chips, and Advanced Electronics
7,380 items
Companies in the semiconductors & HPC space, including integrated device manufacturers (IDMs), fabless firms, semiconductor production equipment manufacturers, electronic design automation (EDA), advanced semiconductor material companies, and more
Artificial Intelligence
10,049 items
AI 100 (2025)
100 items
AI 100 (All Winners 2018-2025)
100 items
Etched Patents
Etched has filed 2 patents.
The 3 most popular patent topics include:
- dynamic programming
- matrices
- parallel computing
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
5/10/2023 | Parallel computing, Dynamic programming, Matrices, Bioinformatics, RNA | Application |
Application Date | 5/10/2023 |
|---|---|
Grant Date | |
Title | |
Related Topics | Parallel computing, Dynamic programming, Matrices, Bioinformatics, RNA |
Status | Application |
Latest Etched News
Jun 12, 2025
効率性の観点から エヌビディアのチップは、加速計算の先端技術とされている。しかし、それらは高価で、大規模な展開をするには莫大な電力が必要となるため、一部の企業はもっとターゲットを絞った、エネルギー効率やスペース効率に優れたソリューションを求める傾向にある。 エヌビディア以外の製品に多様化していきたい企業は、同じように GPU を製造している AMD に目を向けることが多い。AMD の CTO、マーク・ペーパーマスター（Mark Papermaster）は BI に対して、ある GPU から別の GPU にワークロードを移行することが常に技術的に最も簡単な方法であると語る。AMD は、これをできるだけ簡単にするために、自社のソフトウェアにリソースを投入している。 しかし、一部の業界は、この競合する 2 社以外の製品にも強い関心を示している。 チップ分野に新規参入した Etchedの共同創設者であるロバート・ワチェン（Robert Wachen）は BI に対し、推論のボリュームが十分に多く、均一であれば、特定のワークロードに代替のチップアーキテクチャを入れるための投資は、経済的に意味があると述べる。 「推論（inferencing）を行うのであれば、ユースケースに合った適切なプロセッサを見つけることが非常に重要です」と、スタートアップ企業のセレブラス（Cerebras）、サンバノバ・システムズ（SambaNova Systems）、クアルコム（Qualcomm）、エヌビディア、AMD のチップを提供するシラスケール・クラウド・サービス（ Cirrascale Cloud Services）の CEO、デビッド・ドリガーズ（David Driggers）は BIに語っている。 以下は、エヌビディアの代替品を使う業界だ。 「高頻度株式取引」業界 高頻度株式取引（High Frequency Trading: HFT）では、計算の速度と精度が「非常に重要なミッション」である分野だ。サンバノバ・システムズのCEOであるロドリゴ・リャン（Rodrigo Liang）はBIに対し、シタデル・セキュリティーズ（Citadel Securities）、Susquehanna、ジェーン・ストリート（Jane Street）のような企業は、市場動向に数秒の差をつけることで数百万ドルの利益を上げる可能性があると言及した。 「新しいチップの採用は、まずこれらの高付加価値のユースケースから始まるでしょう」（リャン）
Etched Frequently Asked Questions (FAQ)
When was Etched founded?
Etched was founded in 2022.
Where is Etched's headquarters?
Etched's headquarters is located at 20400 Stevens Creek Boulevard, Cupertino.
What is Etched's latest funding round?
Etched's latest funding round is Series A.
How much did Etched raise?
Etched raised a total of $125.36M.
Who are the investors of Etched?
Investors of Etched include Primary Venture Partners, Skybox Capital, HummingBird, Peter Thiel, Fontinalis Partners and 11 more.
Who are Etched's competitors?
Competitors of Etched include Fractile.
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Compare Etched to Competitors
ConfidentialMind specializes in the deployment and management of enterprise-grade large language model (LLM) applications within the AI operations domain. The company offers a Kubernetes-based tool that facilitates the integration of generative AI applications into business workflows, enabling deployment on various cloud services or on-premises hardware. ConfidentialMind's solutions are designed to streamline development processes, offering templates and handling the complexities of AI application life cycle management, from testing to production. It was founded in 2023 and is based in Espoo, Finland.
Recogni develops multimodal generative AI inference systems for the data center industry. The company's offerings include a logarithmic number system that improves AI model inference and a set of hardware and software solutions for computational processes related to generative AI. Recogni's technologies are designed for hyperscalers, cloud service providers, and enterprises that use AI. It was founded in 2017 and is based in San Jose, California.
Aleph Alpha specializes in generative artificial intelligence (AI) technology for enterprises and governments within the artificial intelligence sector. The company offers language models and multimodal AI solutions for human expertise, compliance, and AI applications. Aleph Alpha's technology is tailored for various architectures and value chains. It was founded in 2019 and is based in Heidelberg, Germany.
AI Planet specializes in generative AI orchestration and integration for various business sectors. The company offers a platform for building and deploying custom large language models (LLMs) efficiently within secure enterprise environments, along with an AI marketplace for additional resources. AI Planet's solutions are designed to be secure, private, and cloud-agnostic, catering to enterprises looking to integrate AI into their operations. It was founded in 2020 and is based in Leuven, Belgium.
Together AI focuses on the development, training, fine-tuning, and deployment of generative artificial intelligence (AI) models. The company provides services including AI model training, inference, and utilizes a cloud-based infrastructure. Together AI serves various sectors by offering solutions that cover the generative AI process from research to production. It was founded in 2022 and is based in San Francisco, California.
MatX designs chips for large language models within the AI hardware industry. Its products are engineered for performance in AI models, providing computing power for training and inference processes. MatX serves the AI research and development sector, providing hardware that supports advanced AI models. It was founded in 2022 and is based in Covina, California.
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