Ranking August 2025
Ai chip development

The RankmyAI AI Chip Development Ranking presents the top 17 AI tools from our Overall ranking focusing on AI chip development.

 

AI chip development includes the design and production of specialized hardware components—commonly referred to as AI hardware accelerators, AI chip accelerators, or AI chips—used to enhance the performance and efficiency of artificial intelligence workloads. These solutions are created by AI chip manufacturers to meet the demands of applications ranging from edge computing and generative AI to high-throughput inference and training in data centers. Their architectures are optimized for power efficiency, memory bandwidth, and seamless integration with modern AI software frameworks, supporting use cases across sectors such as autonomous systems, healthcare, financial modeling, and scientific research.

 

The green up and red down arrows indicate how many positions a tool has increased or decreased compared to the previous month's ranking. A grey dash means the tool's position has remained unchanged.

Top 17 out of
22
1
Groq Groq offers fast AI inference solutions for openly-available models through seamless integration with platforms like OpenAI, emphasizing instant intelligence and quick model deployment.
paid
United States
2
SambaNova Systems SambaNova Systems delivers an enterprise-grade full stack AI platform to quickly deploy generative AI capabilities, offering superior performance and scalability for large-scale AI workloads.
paid
United States
3
Tenstorrent Blackhole is a next-generation chip designed to efficiently handle massive AI workloads, featuring an open-source stack and MLIR-based compiler for seamless integration with AI software.
unknown
Canada
4
Cerebras Systems Cerebras provides high-speed AI inference and advanced reasoning capabilities using its proprietary Wafer Scale Engine, enabling real-time processing and deployment for AI models.
paid
United States
+1
5
Lightmatter Lightmatter develops photonic chips and interconnects to advance AI infrastructure, enhancing processing capabilities and efficiency through silicon photonics innovation.
unknown
United States
-1
6
Graphcore Graphcore offers cutting-edge IPU hardware and software solutions, enhancing AI model development and deployment across various domains, including finance, biotech, and telecommunications. It accelerates research and innovation through specialized machine intelligence solutions.
paid
United Kingdom
+1
7
Hailo Hailo develops AI processors for edge devices, offering high performance in deep learning applications, generative AI, and video processing. These processors enhance performance and reduce power, ensuring efficient edge computations without compromising privacy.
unknown
Israel
-1
8
Cambricon Technologies Cambricon offers advanced AI acceleration cards and systems leveraging MLUarch03 architecture and chiplet technology for high-performance cloud and edge computing.
unknown
China
9
Axelera AI Axelera AI provides advanced AI acceleration hardware solutions designed to enhance computer vision tasks at the edge, offering cost and energy efficiency without compromising performance. The platform supports various industrial and retail applications.
paid
Netherlands
10
Rebellions ATOM is a pioneering AI chipmaker delivering scalable and energy-efficient inference solutions with a focus on generative AI. It utilizes advanced semi-conductor engineering to cater to hyperscale and latency-critical workloads.
unknown
South Korea
11
Mythic The M1076 Mythic AMP™ delivers up to 25 TOPS in a single chip, enhancing high-end edge AI applications with power-efficient AI inference. Mythic’s technology eliminates memory bottlenecks by storing AI parameters directly in the processor, offering improved energy efficiency, cost, and performance.
unknown
United States
+1
12
D-Matrix D-Matrix introduces Corsair, a computing platform that provides efficient AI inference for data center scale. It focuses on redefining performance and efficiency for scalable AI solutions, addressing the limitations of existing models in commercial AI applications.
unknown
United States
-1
13
Untether AI Untether AI offers energy-efficient AI inference acceleration from edge to cloud, supporting diverse neural network models. Its unique architecture minimizes data movement and power consumption, enabling enterprises to deploy AI workloads beyond traditional data centers.
unknown
Canada
14
Kinara Kinara Ara-2 processors enable high-performance AI applications at the edge, optimizing compute needs for computer vision and generative AI. They offer seamless integration with AI frameworks, ensuring low latency and high efficiency.
unknown
United States
15
Cerebras Inference Cerebras Systems offers powerful AI computing with its CS-3, featuring the Cerebras Wafer Scale Engine (WSE-3), the world's largest chip. Designed for rapid AI training and inference, it processes vast data efficiently, reducing training time significantly.
16
Blumind Blumind provides all-analog AI solutions for ultra-low power and low latency applications, utilizing CMOS process technology to enable efficient AI functionality across various industries.
unknown
Canada
17
NVIDIA NVIDIA offers cutting-edge AI and accelerated computing solutions designed to enhance performance and efficiency in multiple industries. The platform provides versatile tools and frameworks fostering rapid advancement in AI applications.
paid
United States
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Disclaimer

The RankmyAI AI Chip Development Ranking is derived from our Overall ranking, which measures the popularity of AI tools based on three key metrics: website traffic, reviews, and investments. The Overall ranking is calculated as the weighted average of the individual rankings for each of these metrics (for more details, see our Methodology page).

Not all AI tools in this ranking are exclusively focused on AI chip development, as AI tools and companies often provide multiple services beyond this specific application. This ranking does not assess or indicate the quality, effectiveness, or reliability of the listed AI tools. It is solely based on popularity metrics and should not be interpreted as an endorsement or evaluation of their performance.

You are free to use and distribute our ranking, provided that RankmyAI is properly cited as the source (see our Copyright page).

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