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Chip Cooling Startup Corintis Raises $24 Million, Adds Intel CEO Lip-Bu Tan to Board

Swiss startup Corintis, which develops advanced liquid cooling systems for semiconductors, announced it has raised $24 million in a Series A round and added Intel CEO Lip-Bu Tan to its board. The move comes as demand surges for efficient cooling solutions amid the AI-driven boom in high-power chips.

Corintis, based in Lausanne, was valued at about $400 million after the latest funding, a source told Reuters. The company’s technology has already been tested by Microsoft, a customer, which found it up to three times more efficient than conventional cooling systems.

Unlike traditional air-based systems—or most liquid cooling solutions that only draw heat from a chip’s surface—Corintis uses microscopic liquid channels etched inside the chip itself, allowing for more efficient heat removal while reducing power and water consumption.

The company designs its cooling systems using software automation and produces cold plates—metal blocks that transfer heat from chips into circulating liquid—in Europe. These can serve as drop-in upgrades for existing setups or be integrated directly into new chips.

“Right now we are able to produce around 100,000 cold plates per year. Next year we are ramping up to around 1 million,” co-founder and CEO Remco van Erp said. He launched the company in 2022 alongside COO Sam Harrison and another co-founder after spinning out of Lausanne’s Federal Institute of Technology.

The $24 million round was led by BlueYard Capital, with participation from Founderful, Acequia Capital, Celsius Industries, and XTX Ventures. Including earlier funding, Corintis has now raised $33.4 million.

Corintis also appointed Geoff Lyon, founder and former CEO of liquid-cooling firm CoolIT, to its board. Lip-Bu Tan joined as a director before becoming Intel’s CEO in March, and also serves as chairman of venture capital firm Walden International.

The new funds will support team growth—expanding to 70 employees by year-end from 55 today—scaling up manufacturing, and opening U.S. offices to be closer to major customers.

TensorWave Raises $100 Million to Expand AMD-Powered AI Infrastructure

TensorWave, a Las Vegas-based AI infrastructure startup, has raised $100 million in a Series A funding round to scale operations and meet rising demand for high-performance AI computing. The company did not disclose its current valuation.

The round was led by Magnetar and AMD Ventures, with participation from existing backers Maverick Silicon and Nexus Venture Partners, along with new investor Prosperity7.

As AI model development becomes increasingly compute-intensive, firms like TensorWave are positioning themselves as essential enablers by building GPU-based infrastructure designed for efficient model training and workload optimization.

This $100M funding propels TensorWave’s mission to democratize access to cutting-edge AI compute,” said CEO Darrick Horton.

Strategic Focus and Market Context

TensorWave plans to use the fresh capital to:

  • Scale operations and expand its team

  • Deploy AMD-powered GPU clusters

  • Accelerate delivery of infrastructure tailored to AI workloads

The announcement comes amid projections that the global AI infrastructure market will exceed $400 billion by 2027, driven by the rapid adoption of generative AI, machine learning, and data-intensive applications.

Unlike many competitors reliant on Nvidia hardware, TensorWave’s focus on AMD GPUs could offer cost advantages and diversification for AI developers seeking alternatives in a supply-constrained market.

Industry Momentum

The funding reflects growing investor confidence in companies that support the underlying layers of AI innovationparticularly those offering scalable, affordable compute infrastructure for startups, research institutions, and enterprises alike.

TensorWave joins a wave of AI infrastructure startups benefiting from explosive interest in model training platforms, data center hardware, and cloud-based acceleration solutions amid ongoing AI commercialization.

DevRev Joins the AI Unicorn Club with $100.8 Million Series A Funding

DevRev, a customer relationship software firm based in Palo Alto, has successfully raised $100.8 million in its Series A funding round, led by Khosla Ventures and other investors. This significant investment has propelled the company’s valuation to $1.15 billion, marking its entry into the prestigious unicorn club amid a booming interest in artificial intelligence (AI).

Why It Matters

The surge in AI-driven innovation has reignited venture capital interest, with investments in AI startups reaching a staggering $24 billion between April and June 2024—more than doubling the previous quarter’s figures. This influx of capital reflects investor confidence in the transformative potential of AI across various industries. DevRev’s success highlights the growing demand for AI-powered solutions that streamline customer relationship management by integrating end users, sellers, support teams, product developers, and engineers on a unified platform.

Company Background

Founded in October 2020 by Dheeraj Pandey, former CEO of Nutanix, DevRev focuses on creating an AI-driven platform that enhances the customer experience by bridging the gap between product teams and end users. The company leverages AI to facilitate smoother interactions and improve product development cycles, ultimately helping businesses build more robust relationships with their customers.

Investor Confidence

Khosla Ventures, a key backer of DevRev since 2021, is known for its investments in high-profile tech companies like Instacart, DoorDash, and Stripe. Their continued support underscores the confidence in DevRev’s innovative approach to customer relationship management and its potential for long-term growth in the AI sector.

CEO’s Vision

Dheeraj Pandey emphasized the importance of design in building trust with end users, especially as the AI landscape is rife with overhyped solutions and unstable prototypes. He noted that DevRev’s focus on secure, maintainable AI-driven software is crucial in delivering reliable and effective solutions to its clients.