Nanomemory
Nanoscale memory technologies including MRAM, ReRAM, and molecular memory
Nantero
Woburn, United States
Developer of NRAM nonvolatile memory technology using carbon nanotube fabrics
Everspin Technologies
Chandler, United States
World leader in MRAM (Magnetoresistive RAM) products for enterprise and industrial applications
Imec
Leuven, Belgium
World-leading research and development hub for nanoelectronics and digital technologies
IBM Research - Nanotechnology
Yorktown Heights, United States
Pioneering nanotechnology research including carbon nanotube transistors and molecular electronics
Samsung Advanced Institute of Technology
Suwon, South Korea
Samsung's R&D hub for next-generation technologies including QLED displays and nanoelectronics
Nyriad
Wellington, New Zealand
Developer of ultra-fast storage technology with GPU-accelerated data processing
SK Hynix
Icheon, South Korea
World's second-largest memory chip maker using advanced nanofabrication
Micron Technology
Boise, United States
Major memory and storage solutions company using nanotechnology
Intel Labs Neuromorphic
Santa Clara, United States
Developer of Loihi neuromorphic research chip and Hala Point system
BrainChip
Laguna Hills, United States
Commercial neuromorphic AI processor company with Akida chip
Everspin Technologies
Chandler, United States
World's leading MRAM manufacturer using spintronics
Spin Memory
Fremont, United States
Developer of advanced MRAM technology for embedded applications
Avalanche Technology
Fremont, United States
Pioneer in perpendicular STT-MRAM technology
Crocus Technology
Grenoble, France
Spintronics company for MRAM and magnetic sensors
Samsung Electronics Foundry
Hwaseong, South Korea
Advanced semiconductor foundry with sub-5nm processes
NVIDIA
Santa Clara, United States
Leading GPU and AI chip company using advanced nano nodes
Qualcomm
San Diego, United States
Leading wireless semiconductor company with 5G and AI chips
Broadcom
San Jose, United States
Major semiconductor company for networking and infrastructure
Marvell Technology
Wilmington, United States
Data infrastructure semiconductor company
Micron Technology
Boise, United States
Major memory manufacturer with advanced DRAM and NAND
Western Digital
San Jose, United States
Major flash memory and storage company
Seagate Technology
Dublin, Ireland
Data storage with HAMR and advanced recording technology
Micron Singapore
Singapore, Singapore
Major memory manufacturing and R&D facility
NanoBridge Semiconductor
Tsukuba, Japan
Atom switch technology for AI chips
Microchip Technology
Chandler, United States
MCUs, analog, and FPGA solutions for embedded systems
Samsung System LSI
Hwaseong, South Korea
Image sensors and mobile processors
Groq
Mountain View, United States
AI inference accelerators with deterministic performance
Mythic
Austin, United States
Mythic is a revolutionary semiconductor company pioneering analog compute-in-memory technology for artificial intelligence acceleration. Founded in 2012 and based in Austin, Texas, Mythic has developed a breakthrough approach to AI processing that fundamentally differs from traditional digital architectures by storing neural network weights directly in analog flash memory and performing matrix computations using analog circuits. This innovative architecture delivers exceptional energy efficiency and performance density, enabling powerful AI inference capabilities in edge devices with minimal power consumption. The company's flagship M1076 Analog Matrix Processor combines analog computation with digital precision, achieving up to 25 trillion operations per second per watt, orders of magnitude more efficient than conventional digital processors. By eliminating the need to constantly move data between memory and processing units, Mythic's technology overcomes the von Neumann bottleneck that limits traditional computing architectures. The M1076 chip integrates multiple tiles of analog compute arrays, enabling scalable performance for demanding AI workloads including computer vision, natural language processing, and sensor fusion applications. Mythic's solution is particularly suited for edge AI applications in smart cameras, drones, augmented reality devices, automotive systems, and industrial IoT where power constraints are critical. The technology supports standard AI frameworks and models, with a software stack that enables seamless deployment of networks trained on conventional platforms. With over $100 million in funding from leading venture capital firms and strategic investors, Mythic is commercializing analog AI processing for next-generation intelligent edge devices, offering a compelling alternative to power-hungry digital accelerators while maintaining accuracy and flexibility required for production deployments.
Untether AI
Toronto, Canada
Untether AI is a Canadian semiconductor innovator pioneering at-memory compute architecture for artificial intelligence inference acceleration. Founded in 2018 and headquartered in Toronto, the company has developed a revolutionary approach that fundamentally reimagines how AI computations are performed by bringing compute directly to where data resides in memory, eliminating the performance bottleneck of data movement that plagues traditional architectures. Their flagship tsunAImi inference accelerator chip delivers industry-leading performance per watt and performance per dollar for AI workloads in data centers and edge deployments. The tsunAImi architecture features a massively parallel array of processing elements tightly coupled with memory banks, enabling thousands of simultaneous compute operations without the energy-intensive data transfers required by conventional von Neumann designs. This innovative design achieves over 2 petaOPS of AI inference performance while maintaining exceptional energy efficiency, making it ideal for deploying large-scale AI models in cloud infrastructure, autonomous systems, and intelligent edge applications. Untether's runAI software platform provides a complete development environment supporting TensorFlow, PyTorch, and ONNX frameworks, enabling seamless migration of existing AI models to their hardware with minimal engineering effort. The technology addresses critical pain points in AI deployment including inference latency, power consumption, total cost of ownership, and scalability for production workloads. With over $150 million in funding from prominent venture capital and strategic investors, Untether AI is targeting high-performance computing markets where AI inference demands exceed capabilities of conventional GPU and CPU-based solutions, including autonomous vehicles, robotics, natural language processing, computer vision, and large-scale recommendation systems deployed by hyperscale cloud providers and enterprises.
Phytium Technology
Tianjin, China
ARM-based high-performance CPUs
Zhaoxin
Shanghai, China
x86 compatible processors
Montage Technology
Shanghai, China
Memory interface and server chips
Changxin Memory Technologies
Hefei, China
DRAM memory manufacturer
YMTC (Yangtze Memory)
Wuhan, China
3D NAND flash memory
GigaDevice Semiconductor
Beijing, China
NOR flash and MCUs
UNISOC
Shanghai, China
Mobile and IoT chipsets
Xilinx
San Jose, United States
Adaptive computing (now AMD)
AGM Microelectronics
Shanghai, China
FPGA and PSoC devices
Powertech Technology
Hsinchu, Taiwan
Memory packaging specialist and OSAT provider
AMD AI
Santa Clara, United States
High-performance computing company with Instinct AI accelerators and EPYC processors
AWS Trainium
Seattle, United States
Amazon's custom AI chips for machine learning training and inference
SambaNova Systems
Palo Alto, United States
Dataflow architecture for AI with reconfigurable computing
Rain AI
San Francisco, United States
Brain-inspired computing using analog memristor technology
Apple Neural Engine
Cupertino, United States
Apple's dedicated neural processing units in Apple Silicon chips
Biren Technology
Shanghai, China
Chinese GPU startup developing high-performance AI chips
Enflame Technology
Shanghai, China
Chinese AI chip company for cloud training and inference
Esperanto Technologies
Mountain View, United States
Energy-efficient AI computing using RISC-V many-core processors
d-Matrix
Santa Clara, United States
In-memory computing for AI inference with digital processing-in-memory
Rebellions
Seoul, South Korea
Korean AI chip startup developing neural processing units
Syntiant
Irvine, United States
Ultra-low-power AI chips for always-on edge applications
Eta Compute
Westlake Village, United States
Ultra-low-power AI processing for battery-operated edge devices
Lightelligence
Boston, United States
Photonic computing solutions for AI and machine learning
Axelera AI
Eindhoven, Netherlands
In-memory computing for edge AI with breakthrough efficiency
Roviero
Salt Lake City, United States
Neuromorphic AI technology for edge processing and autonomy
Applied Brain Research
Waterloo, Canada
Neuromorphic AI software and brain-inspired computing
Perceive
San Jose, United States
Ultra-low-power AI inference processors for edge devices
AIStorm
San Jose, United States
AI-in-sensor technology eliminating the analog-to-digital conversion bottleneck
Maxim Integrated AI
San Jose, United States
Ultra-low-power AI microcontrollers for edge applications
Microchip AI
Chandler, United States
Embedded AI solutions across MCUs, MPUs, and PolarFire FPGAs
Lattice AI
Hillsboro, United States
Low-power FPGA solutions for AI at the edge
Groq
Mountain View, United States
AI inference company developing Language Processing Units for ultra-fast AI inference
Mythic
Austin, United States
AI chip company using analog compute-in-memory for edge AI applications
Blaize
El Dorado Hills, United States
Edge AI computing company with graph streaming processors for automotive and industrial applications
Mistral AI
Paris, France
French AI startup developing open-weight large language models
Pinecone
San Francisco, United States
Vector database company for AI applications and semantic search
Chroma
San Francisco, United States
Open-source embedding database for AI applications
Qdrant
Berlin, Germany
Vector search engine and database for AI applications
Block (Square)
San Francisco, United States
Financial services and digital payments company building commerce and financial tools
Ledger
Paris, France
Hardware wallet company providing secure self-custody solutions for digital assets
Nintendo
Kyoto, Japan
Japanese video game company creating iconic gaming consoles and franchises
Sony Interactive Entertainment
San Mateo, United States
PlayStation division of Sony creating gaming consoles and exclusive games
Netflix Games
Los Gatos, United States
Netflix's gaming division offering mobile games to subscribers
Netflix
Los Gatos, United States
Global streaming entertainment service with original content
Plex
Los Gatos, United States
Media server and streaming platform for personal content
Xbox Game Studios
Redmond, United States
Microsoft gaming division
YouTube Music
San Bruno, United States
Music and video streaming
Microsoft Azure Government
Redmond, United States
Government cloud platform
Nantero
Woburn, United States
Carbon nanotube-based NRAM memory technology