Top 46 Startups developing AI Hardware

Nov 26, 2024 | By Siddhant Patel

These companies develop and build TPU chips and other hardware, specifically designed for machine learning that accelerate training and performance of neural networks and reduce the power consumption.
1
Country: USA | Funding: $1.1B
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms.
2
Country: USA | Funding: $1B
Groq radically simplifies compute to accelerate workloads in artificial intelligence, machine learning, and high-performance computing.
3
Country: USA | Funding: $822M
Lightmatter is building the engines that will power discoveries, drive progress, and reduce our impact on the planet.
4
Country: USA | Funding: $720M
Cerebras is a computer systems company dedicated to accelerating deep learning. The pioneering Wafer-Scale Engine (WSE) – the largest chip ever built – is at the heart of our deep learning system, the Cerebras CS-1.
5
Country: UK | Funding: $692M
Graphcore is a semiconductor company that develops accelerators for AI and machine learning. It aims to make a massively parallel Intelligent Processing Unit that holds the complete machine learning model inside the processor.
6
Country: Israel | Funding: $343.9M
Hailo has developed a specialized deep learning processor that delivers the performance of a data center-class computer to edge devices.
7
Country: USA | Funding: $338.9M
Celestial AI develops optical interconnect technology for compute-to-compute, compute-to-memory and on-chip data transmission.
8
Country: Canada | Funding: $334.5M
Tenstorrent is a computing company that develops AI processors designed to help in faster training and adaptability to future algorithms.
9
Country: USA | Funding: $330M
SiMa.ai is building an ultra low-power software and chip solution for machine learning at the edge.
10
Country: USA | Funding: $300M
MatX is an AI chip startup that designs chips that support large language models.
11
Country: USA | Funding: $293M
Nuvia is a silicon design company that designs processors for data centers.
12
Country: USA | Funding: $235.1M
Enfabrica develops networking hardware to drive AI workloads
13
Country: South Korea | Funding: ₩297.6B
Rebellions.ai builds AI accelerators by bridging the gap between underlying silicon architectures and deep learning algorithms.
14
Country: USA | Funding: $212M
Kneron develops an application-specific integrated circuit and software that offers artificial intelligence-based tools.
15
Country: China | Funding: $200M
Cambricon develops artificial intelligence chips.
16
Country: USA | Funding: $164.7M
Mythic goes beyond conventional digital architectures, memory, and calculation elements – rethinking everything from the ground up: from transistors and physics, through circuits and systems, up to software and AI algorithms.
17
Country: Netherlands | Funding: $136.7M
Axelera is working to develop AI acceleration cards and systems for use cases like security, retail and robotics that it plans to sell through partners in the business-to-business edge computing and Internet of Things sectors.
18
Country: USA | Funding: $126M
EdgeQ intends to fuse AI compute and 5G within a single chip. The company is pioneering converged connectivity and AI that is fully software-customizable and programmable.
19
Country: USA | Funding: $125.4M
Etched.ai is an AI chip startup that develops Sohu, a chip designed specifically for running transformer models.
20
Country: USA | Funding: $124M
Esperanto Technologies is a company develops high-performance, energy-efficient computing solutions encouraging your innovation in artificial intelligence via flexible RISC-V open instruction set architecture (ISA) designs.
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)org