Etched Doubles Valuation to $21 Billion in a Month After Jane Street Tests AI Inference Hardware

Etched's valuation doubles to $21B in a month

Etched on Tuesday announced that it has raised another $700 million at a $21 billion valuation, led by Jane Street after the famed quant fund tested and bought the startup's AI hardware. Even by AI standards, this valuation step-up is jaw-droppingly fast. Etched was valued at $5 billion in December. It raised a $300 million Series C at a $10.3 billion valuation in July. Now investors have doubled its valuation to $21 billion, up nearly $11 billion, in a month. Etched delivers its AI tech as full systems that it calls "frontier inference clusters." (Etched competitor Nvidia calls its full systems AI factories). Co-founder and COO Robert Wachen told TechCrunch that investors are so enthusiastic because Etched has designed two new components from scratch to speed up inference -- the computing process that happens after a user submits a prompt. "Inference is built in two stages," Wachen said, "prefill and decode." In the mathematically and compute-intensive "prefill phase," the system must understand the prompt, including context. In the memory-intensive "decode" phase, the system generates output tokens, meaning the actual answer the user sees. Etched created a prefill chip that operates at low voltage, allowing it to pack in more transistors without the typical heat problems of other high-end AI chips. It can therefore process more tokens faster. Etched created a new type of memory and an interconnect for the decode process that the company calls cluster-scale memory. "It allows many chips to connect together and use a shared memory pool at a very, very fast, low latency," Wachen said. The result, Etched promises, is higher speeds and lower costs. Etched is still battling the perception from its early days that it etches a particular model into its chips, meaning that each chip is somehow custom-designed to run one frontier model. That was its original intention, but is no longer the case. Etched's systems can run any frontier model. In the blog post announcing the new round, investment firm Jane Street said "We tested the chip and are pleased with the early results. Etched's unique approach to inference delivers the precision we will need to support our most demanding workloads. We're excited to now have our own rack running in our datacenter." Other investors in Etched include Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Peter Thiel, Tiger Global, Bain Capital Ventures, Neo, Stripes, Primary, Positive Sum, Diffusion, Argo, and Blackstone.

AI chip startup Etched valued at $21 billion in latest funding round

Aug 18 (Reuters) - Artificial intelligence hardware startup Etched said on Tuesday it raised $700 million in a funding round that valued it at $21 billion. The funding round ⁠was led by Jane Street, with participation from Kleiner Perkins, Sequoia, Andreessen Horowitz, Tiger Global, among others. Etched said it has raised $1.9 billion to date. Etched ⁠added it has secured more than $1 billion in customer contracts across public and ⁠private AI companies and cloud providers. The company builds AI inference ⁠systems designed to make models faster and ⁠cheaper to run. Reporting by Prakhar Srivastava in Bengaluru; Editing by Vijay Kishore Our Standards: The Thomson Reuters Trust Principles., opens new tab

Inference chip startup Etched raises another $700M at $21B valuation

Inference chip startup Etched raises another $700M at $21B valuation A few weeks after closing a $300 million round backed by Nvidia Corp., Etched Inc. today announced that it has raised another $700 million in funding. Investment firm Jane Street led the deal. It was joined by Kleiner Perkins, Sequoia, Andreessen Horowitz, Tiger Global, Bain Capital Ventures and several others. The raise more than doubles Etched's valuation to $21 billion. Etched launched in 2021 with the goal of designing chips optimized for specific artificial intelligence models. The company later pivoted to making inference accelerators that support a variety of model architectures. According to Etched, its first prototype chip rolled off a Taiwan Semiconductor Manufacturing Co. production line earlier this year. The company signed up Jane Street, the lead investor in today's round, as its first customer shortly thereafter. The investment firm installed an Etched-powered rack in its data center last month. Separately, the chip startup built a two-megawatt AI cluster in its San Jose, California headquarters. Prospective customers use the cluster to test its chips. An AI accelerator's performance is influenced by the amount of heat it generates. The lower its operating temperature when running demanding workloads, the more calculations it can perform per second. One of the most effective ways to lower a chip's operating temperature is to decrease the voltage that runs through it. Etched says that its chip's math blocks, or math-optimized circuits, run at under half the voltage of most AI accelerators. As a result, the processor can provide "multiple times the FLOPs density" offered by rivals. FLOPs density is a measure of a processor's performance. Etched didn't disclose how its voltage-optimized math blocks work. Large language models perform two main types of mathematical operations during inference: dot product calculations and matrix multiplications. The math blocks are presumably optimized for those tasks. A dot product calculation turns two rows of numbers into a single number. Such operations power the transformer architecture's attention mechanism. Matrix multiplications, meanwhile, involve mathematical structures that can be visualized as spreadsheet tables filled with numbers. They're used by not only LLM attention mechanisms but also other model components. Etched ships its silicon as part of custom-designed racks. One of the design's main selling points is an internally developed interconnect that links together the chips in each appliance. According to the Wall Street Journal, the interconnect can complete some communications tasks that take rival chips 4,000 milliseconds in 700 milliseconds. A millisecond is one billionth of a second. Etched's appliances also contain other internally-developed components. There are custom cold plates, which conduct the heat generated by the company's chips to the coolant circulated through the host systems. A proprietary VRM, or voltage regulator module, optimizes the flow of electricity in the appliances. "It took us three years to deliver our first rack from scratch," said Etched co-founder and Chief Executive Officer Gavin Uberti. "Our next one will be much faster."

Etched secures $700M at doubled valuation to scale AI inference hardware By Investing.com

Investing.com -- AI hardware startup Etched has secured $700 million in new funding at a $21 billion valuation, doubling its implied market capitalization from a previous capital raise finalized just weeks earlier. The investment round was led by quantitative trading firm Jane Street, which recently took delivery of the company's first operational server rack following a period of successful internal hardware validation. The latest financing attracted a consortium of prominent backers, including Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Blackstone, and Peter Thiel, underscoring strong institutional appetite for alternative semiconductor architectures. This capital injection positions Etched to accelerate its manufacturing pipeline as the company moves to fulfill an estimated $1 billion in existing customer contracts. Analyze the news by upgrading to InvestingPro - get 55% off today This development accelerates a rapid trajectory of capital accumulation for the semiconductor challenger, following a $300 million Series C announced in late July that valued the enterprise at $10.3 billion. Against that backdrop, Etched has also disclosed an additional $800 million gathered across four previously unannounced financings, bolstered by strategic backing from VentureTech Alliance to deepen its crucial manufacturing partnership with Taiwan Semiconductor Manufacturing Company. Operationally, the firm is developing a new category of specialized hardware called frontier inference clusters, designed specifically to manage the intense computational workloads required by advanced artificial intelligence models. To execute this strategic vision, a workforce of over 400 engineers recruited from industry stalwarts like NVIDIA and Google has engineered proprietary breakthroughs in both Low Voltage Inference and Cluster Scale Memory. By running mathematical computing blocks at less than half the voltage of traditional processors, Etched indicates its architecture can maintain substantial data throughput while avoiding the thermal throttling that limits current AI chips. This precision directly motivated Jane Street's lead investment, with the trading firm noting that the startup's unique approach delivers the reliability required to support its most demanding data center operations. To support its transformation toward gigawatt-scale capabilities, the company has rapidly expanded its physical footprint by establishing a new factory in Taiwan alongside an 80,000-square-foot prototyping hub near its San Jose headquarters. Ultimately, these integrated supply chain and engineering initiatives are expected to serve as key catalysts as Etched navigates the broader challenge of scaling production to capture a larger share of the global artificial intelligence infrastructure market.