Analog in-memory computing for AI - TetraMem.com
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Analog In-Memory Compute, Scalable to 5nm, 3nm & Beyond
TetraMem’s breakthrough architecture eliminates the memory bottleneck with scalable, RRAM-based processing—designed for real-time analytics and ultra-efficient AI in power-sensitive environments from edge to Data Center
90% of power is wasted moving data between memory and processor.
TetraMem enables edge devices to do more with less. By processing data directly in memory, we dramatically reduce power consumption and unlock real-time AI for products that couldn’t support it before.
TetraMem brings compute to the data—slashing energy use and unlocking next-gen performance.
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Why TetraMem Stands Out?
Integrating the Chip into your existing workflow is seamless and hassle-free
Up to 200x faster ML inference
100x Better TOPS/W Than Leading AI Chips
0.5 TOPS performance in a compact, ultra-efficient 22nm SoC
Supports up to 4 million weights at 8-bit precision
We are here to save the environment from AI
Meet the challenge of deploying an efficient edge AI solution by optimizing for power and latency on TetraMem’s world-class analog computing architecture
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Average Energy Consuption (Lower is Better)
TetraMem is built for teams building the future of AI:
System & Product Architects<br>designing AI-native hardware
ML Engineers<br>deploying real-time intelligence in power-constrained devices
Software Developers<br>translating models into efficient, hardware-ready code
Solutions
Whether you're building IoT sensors, smart audio, or AI-powered industrial systems, TetraMem enables intelligent features where traditional chips can’t go.
Technology
Conventional architectures aren’t built for AI—they burn energy shuttling data between memory and processors. TetraMem flips the script.
Products
The world’s first analog in-memory computing SoC for power efficient AI.
UNLOCKING<br>THE FUTURE
TetraMem enables edge devices to do more with less. By processing data directly in memory, we dramatically reduce power consumption and unlock real-time AI for products that couldn’t support it before.
Learn about the Chip