Eventra · Neuromorphic systems agency

Twelve models. On-chip. Under 120 watts.

NEXUS-12 is a memory-light inference appliance for always-on vision, audio, and sensor banks. Eventra maps practical edge models across 12 independent Akida processors—without pretending this is a training server or an LLM box.

12×

event processors

96 MB

partitioned SRAM

60–120 W

loaded estimate

Eventra hero

What to expect

Evidence before architecture claims.

  1. 01

    Measured, not brochure-derived

    Every pilot receives per-chip throughput, mJ per inference, system power, and model-fit results.

  2. 02

    Limits stated up front

    We document unsupported layers, quantization effects, PCIe lane constraints, host bottlenecks, and thermal conditions.

  3. 03

    A production path, not a prototype trap

    The engagement ends with a compiled model, deployment evidence, and a one-chip or four-chip reference BOM where appropriate.

Where NEXUS-12 fits

Keep small models resident. Move events, not tensors.

The system is strongest when twelve independent streams can each own a compact quantized model.

01 / Multi-stream inference

One event engine per camera, microphone, or asset.

Route visual wake, keyword spotting, vibration anomaly, or sensor classification independently. The host preprocesses; each AKD1000 runs its resident event model; scores return over PCIe.

Sensor ingestCPU preprocessAkida event fabricEvent output

02 / Model mapping

From Keras to deployable event model.

Eventra handles quantization-aware preparation, MetaTF compilation, layer compatibility, accuracy checks, and the delivered .fbz.

03 / Honest fit

Built for sparse edge signals—not giant dense models.

Good for spikes, embeddings, and occasional frames. Poor for raw HD video fanned to all 12 chips, large-model training, LLM serving, or HBM-bound workloads.

Representative workloads

Industrial lines

Visual wake, PPE events, line counting, acoustic and vibration monitoring.

Tactical edge

SWaP-constrained classification and local operation where connectivity is limited.

Smart infrastructure

Person, vehicle, and keyword event banks that wake heavier compute only when needed.

OEM evaluation

MetaTF bring-up, model-zoo regression, and a path toward AKD1500-based production designs.

Start with your workload

Prove joules per true event before you scale.

Bring one model family and a representative stream. Eventra will assess fit, define the benchmark, and scope a paid pilot with explicit success and stop criteria.

Scope a NEXUS-12 pilot