The Analog In-Memory Computing Company
AI meets Analog computing
Highly efficient edge inference performance with no compromises on power or latency
90% of power is wasted moving data between memory and processor.
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.
TetraMem brings compute to the data—slashing energy use and unlocking next-gen performance.
Why Tetramem Stands Out?
Integrating the Chip into your existing workflow is seamless and hassle-free
0.5 TOPS performance in a compact, ultra-efficient 12nm SoC
Supports up to 4 million weights at 8-bit precision
Up to 200x faster ML inference
100x Better TOPS/W Than Leading AI Chips
We are here to save the world 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
TetraMem is built for teams building the future at the edge:
System & Product Architects designing AI-native hardware
ML Engineers deploying real-time intelligence in power-constrained devices
Software Developers translating models into efficient, hardware-ready code
Investors backing the next wave of sustainable compute
[Chapter 01]
Chip
The world’s first analog in-memory computing SoC for edge AI.
[Chapter 01]
Chip
The world’s first analog in-memory computing SoC for edge AI.
[Chapter 01]
Chip
The world’s first analog in-memory computing SoC for edge AI.
UNLOCKING
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.