Empowering Innovations
with Blumind's Proprietary Architecture

Unlock the true potential of analog AI compute with Blumind's cutting-edge semiconductor architecture, combining machine learning, precision analog signal processing, and brain-inspired computing.

Physical AI is forced to choose: intelligence or battery life

Physical AI needs Blumind's new inference silicon architecture.
Physical AI compute demand grows about 1,000× from 2026 to 2034, while silicon node and battery improvement grows about 3×, a compute–power gap of about 500×

The compute–power gap

Physical AI products such as smart glasses, hearables, wearables, robots and always-on sensors must listen, see and understand all the time. Their compute demand grows faster than process nodes and batteries improve. By 2034 the gap is approximately 500×.

Today’s devices make a compromise:

  • Sleep → miss events
  • Offload to the phone or cloud → add latency
  • Shrink models → lose capability

Blumind closes the gap. AMPL™ all-analog compute removes the clocks, data converters and weight movement that dominate digital inference energy, so always-on intelligence fits inside a battery budget.

AMPL™ All-analog
Compute Advantages

Blumind delivers high performance all-analog compute solutions for edge AI using CMOS technology on advanced process nodes. No special processing steps, no specialty memory structures, no technology risks.
Icon 04
Analog AI Innovation
Blumind AMPL™ is a disruptive analog AI compute fabric for micropower artificial intelligence applications.
Icon 05
Precision and Accuracy
Blumind all-analog AI compute delivers deterministic and precise inferencing performance at up to x1000 lower power than our competitors. Delivering higher efficiency and the longest battery life for always-on applications.
Icon 11
Low Latency Solutions
AMPL™ fabric delivers efficient low latency for real-time applications.
Icon 07
Analog Breakthrough
AMPL™ is the first all-analog AI on advanced standard CMOS architected to fundamentally mitigate process, voltage, temperature and drift variations.
Ai bg

250 TOPS per Watt by Computing
with Transistor Physics

Blumind’s analog efficiency scales to billions of parameters.

Digital Accelerators

GPU / NPU / Digital ASIC

Digital accelerator: weights move between memory and compute, and weight movement dominates inference energy

Excess precision, weight movement and clocking. The triple digital tax.

Other Analog & In-Memory

Analog compute-in-memory arrays

Other analog and in-memory compute: CPU, ADC, analog array and DAC in series, supported by SRAM memory

The array improves, but conversion and peripherals negate the savings.

Blumind AMPL™

AMPL™ = Analog Machine learning, low Power and Latency. The full signal chain stays analog, with no ADC or DAC.
Blumind AMPL all-analog signal chain: activations, analog multiplier with programmed weight, local accumulation, ephemeral memory and next-layer activation, with no ADC or DAC

Standard CMOS: Mature, low-cost, mainstream foundries.

Reliable ratio-metric and temporal compute: Accurate across process, voltage and temperature.

Reticle-level scaling: Supports models with billions of parameters.

Blumind sets the efficiency frontier for
Physical AI inference

Inference efficiency in TOPS/W across today's analog and digital edge AI silicon.
Inference efficiency in TOPS per watt: Blumind 250; analog and digital start-ups 33, 24, 21, 15, 10 and 6; digital incumbents 7, 5 and 2.3

Curated list of currently deployed digital incumbents and alternative compute start-ups with published silicon performance metrics.
 

Blumind’s All-analog Difference

Blumind's AMPL™ core technology is architected to be all-analog from the ground up. Unlike other analog edge AI solutions AMPL™ is efficient, robust and uses CMOS technology on advanced process nodes.
Icon 08
Direct Analog Sensor Input
Icon 08
Standard CMOS Process
Icon 08
Advanced Process Node
Icon 08
Low Latency
Icon 08
Analog Precision
Icon 08
Ultra-low Power
Icon 08
No ADC & DAC
Icon 08
Ephemeral memory
Icon 08
No High Speed Clock
Icon 08
No Added Processing Steps
Icon 08
No Novel Process Technology Modules
Icon 08
Supports Sustainable Solutions

Software and Solutions

The Blumind AMPL™ core used for inferencing takes parameters from
industry standard software flows like PyTorch and TensorFlow

Learn more about software and machine learning solutions.

Software & ML