About EnCharge AI
Analog in-memory AI accelerator startup; $100M Series B Feb 2025 led by Tiger Global; launched EN100 chip (200+ TOPS) for client/edge AI.
EnCharge AI was founded in 2022 and is based in Santa Clara, CA, United States. It is listed under Analog Computing, In-Memory Computing. Reported funding is $100M Series B (Feb 2025, led by Tiger Global; total $144M+).
Compute Technologies
- Analog Computing
- In-Memory Computing
What EnCharge AI works on
Analog Computing
Analog computing represents numbers as continuous physical quantities, such as voltage or current, rather than as strings of 0s and 1s. The physics of the circuit does the calculation. For example, Ohm's law and Kirchhoff's current law let a grid of resistors multiply and add numbers at once.
In-Memory Computing
In-memory computing does calculations inside or right next to the memory that stores the data, instead of copying the data to a separate processor. It is also called processing-in-memory (PIM) or compute-in-memory.
Also in United States
TetraMem, MemComputing, Neo Semiconductor, Avalanche Technology, Unconventional AI
