Specifications

Technical reference.

Architecture and performance data for all three processor generations. All numbers from hardware measurements, not simulation.

N1

Loihi 1-class Production
Cores 128
Neurons per core 1,024
Synapses per core 131,072
Total synapses 16,777,216
Neuron model LIF (leaky integrate-and-fire)
Spike format Binary (1-bit)
Weight precision 16-bit signed
Membrane precision 16-bit signed
Leak model Configurable decay constant
Refractory period Programmable (0-63 timesteps)
Learning rule STDP (spike-timing dependent plasticity)
On-chip memory 8 KB SRAM (neuron state + synaptic)
Clock frequency 62.5 MHz (FPGA)
Interface AXI4-Lite register map
Target FPGA Xilinx UltraScale+ (AWS F2)
LUT utilization ~12,000 (AWS F2)
BRAM utilization ~8 blocks
Test coverage 96 tests, all passing
FPGA validation AWS F2: PASS, 62.5 MHz
Kria K26 (2-core) 20,109 LUTs (17.2%), 0.642W, 100 MHz
SHD benchmark 90.6% (LIF, 1024 hidden)
N-MNIST benchmark 99.2%
DVS Gesture benchmark 69.7%
GSC-12 benchmark 86.4%
FPGA validated VU47P (16-core subset)
Paper DOI 10.5281/zenodo.18727094

N2

Loihi 2-class Production
Cores 1 (multi-core via NoC)
Neurons per core 1,024
Synapses per core 32,768
Neuron models LIF, CUBA, Adaptive LIF
Spike format Binary + Graded (8-bit payload)
Weight precision 16-bit signed
Membrane precision 16-bit signed
Compartments 4 per neuron (dendritic tree)
Delay support 0-63 timesteps per synapse
Learning rules STDP, 3-factor (reward-modulated), dendritic
Noise injection Per-neuron configurable
On-chip memory 128 KB SRAM (state + synaptic)
Network-on-Chip Hierarchical packet-switched NoC
Clock frequency 62.5 MHz (FPGA)
Throughput 8,690 timesteps/second (sustained)
Spike latency Sub-microsecond
Interface AXI4-Lite + DMA
Target FPGA Xilinx UltraScale+ (AWS F2)
LUT utilization ~85,000
BRAM utilization ~120 blocks
FPGA power 1.913 W (default), 0.991 W (5% activity)
FPGA LUTs 228,393 (VU47P)
Kria K26 (2-core) 26,431 LUTs (22.6%), 0.688W, ~97 MHz
SHD benchmark 84.5% (adLIF, 512 hidden)
N-MNIST benchmark 97.8%
SSC benchmark 72.1%
GSC benchmark 88.0%
MIT-BIH ECG benchmark 90.9%
ASIC projection ~9.3 mm², 19-38 mW at 28 nm
Paper DOI 10.5281/zenodo.18728256

N3

128-core SoC FPGA validated
Cores 128
Neurons per core 1,024
Total neurons 131,072
Total synapses 8,388,608
Neuron models LIF, CUBA, Adaptive LIF, multi-compartment
Spike format Binary + Graded (8-bit payload)
Weight precision 16-bit signed
Membrane precision 16-bit signed
Compartments 4 per neuron
Delay support 0-63 timesteps per synapse
Learning rules STDP, 3-factor, dendritic, continual on-chip
Hardware virtualization Time-multiplexed virtual cores
Memory hierarchy L1 SRAM + L2 shared + L3 external DDR
Network-on-Chip 2D mesh, hierarchical routing
RISC-V management core RV32I for configuration and monitoring
Clock frequency 62.5 MHz (FPGA)
Throughput 14,512 timesteps/second (8-core, sustained)
Interface AXI4 (full) + PCIM for external memory
Target FPGA Xilinx UltraScale+ (AWS F2)
Feature count 68 architectural features, all implemented
FPGA power 1.923 W (default)
FPGA LUTs 262,317 (VU47P)
AFI timing WNS = 0.000 ns (timing met)
SHD benchmark 91.0%
SSC benchmark 76.4%
N-MNIST benchmark 99.1%
GSC-12 benchmark 88.0%
DVS Gesture benchmark 89.0%
Kria K26 (8-core) 53,420 LUTs (45.6%), 0.867W, ~58.5 MHz

At a glance.

N1 N2 N3
Cores 1 1 128
Neurons 64 1,024 131,072
Synapses 4,096 32,768 8,388,608
Neuron models 1 3 4+
Graded spikes No Yes Yes
3-factor learning No Yes Yes
Compartments No 4 4
FPGA power 1.847W 1.913W 1.923W
FPGA validated Yes Yes Yes
SHD accuracy 90.6% 84.5% 91.0%
Kria K26 power 0.642W 0.688W 0.867W