Ranking June 2026
What are the top 21 AI chip development tools in June 2026?

The RankmyAI AI Chip Development Ranking presents the top 21 AI tools from our Overall ranking in June 2026 focusing on AI chip companies.

 

AI chip makers 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 21 out of
25
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
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
3
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
4
Cambricon Technologies
Cambricon offers advanced AI acceleration cards and systems leveraging MLUarch03 architecture and chiplet technology for high-performance cloud and edge computing.
+1
unknown
China
5
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.
-1
unknown
Canada
6
Lightmatter
Lightmatter develops photonic chips and interconnects to advance AI infrastructure, enhancing processing capabilities and efficiency through silicon photonics innovation.
+1
unknown
United States
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.
+2
unknown
Israel
8
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
9
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.
+1
unknown
United States
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.
+1
unknown
South Korea
11
Axelera AI
Axelera AI delivers edge AI acceleration hardware and software that enables high-performance, energy-efficient inference for computer vision and LLM workloads. Its Metis AIPUs, Europa systems, and Voyager SDK help organizations deploy scalable AI solutions faster and at lower cost than GPU-based alternatives.
+1
paid
Netherlands
12
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.
-6
13
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
14
Etched.ai
15
BrainChip
BrainChip develops neuromorphic Edge AI processors for efficient, on-device processing of voice, vision, and sensor data. Its Akida chip supports always-on voice control, real-time audio and video analysis, gesture recognition, and sensor monitoring, enabling low-power AI across industries.
unknown
United States
16
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.
+5
paid
United States
17
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.
+1
unknown
Canada
18
Vaire
-1
19
Enfabrica
20
Extropic
-4
21
Indesmatech
Indesmatech is a European technology and advisory company providing semiconductor, IoT, embedded computing, and ASIC support. It helps customers move from idea to implementation through consulting, design-in support, supplier representation, and webshop distribution for advanced hardware solutions.
-1
paid
Denmark
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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 making, 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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