Silara^®
Neuromorphic Big Compute

Silara is Neural AI Technologies’ Big Compute division, serving the Cognitive Storage and Cognitive Networking domains. We are building neuromorphic servers and cognitive storage systems for AI acceleration, enterprise intelligence, and data-center optimization—at a fraction of the energy cost of GPU-based infrastructure. It’s our Silara Unified Model, SUM™.

Our Silara hardware applications are built to be stackable for unlimited parallel processing. Where conventional AI separates training from inference—requiring expensive GPU clusters, then porting knowledge to a separate inference engine—Silara systems integrate learning and inference on the same platforms, eliminating hidden costs and dependencies.

The Problem We Solve

AI infrastructure costs are spiraling. GPU energy consumption is unsustainable. Inference latency limits real-time applications. Searching through databases and finding useful information has become a massive computational challenge, relying on costly, power-hungry CPU/GPU servers requiring highly specialized programming for deployment and maintenance.

Silara addresses these challenges through our SUM neuromorphic architecture: hardware and operating system solutions that compute in parallel, learn in real time, deliver deterministic latency combined with powerful stochastic forecasting engines, and provide traceability for inference decision making.

Silara^® Neural Servers
Purpose-built neuromorphic servers in development for data-center and enterprise deployments

Learn more

Small

Small scale packaging, up to 50,000 neurons
Edge compute, site security, departmental AI

Medium

Inference engines, up to 500,000 neurons
Enterprise AI, real-time analytics, fraud detection

Large

Multi-layered neuromorphic fabric, 1,000,000 neurons and more
Data-center AI, scientific computing, genomics, defense

Core Capabilities

Learning and inference as a single server—no separate training infrastructure

Deterministic latency independent of committed neuron count from the platform

Deterministic learning with strict pattern control controlled in SUM

Full traceability for safety-critical and regulatory applications

Content-addressable memory: intrinsic lookup without hash coding or indexing

Automatic model generation and confidence-level sorting

Stackable architectures, unlimited scaling

Standard Linux API integrations

Delivery Model

Silara products are available through direct enterprise sales, licensing, with SDK, Silara SUM OS, and data-labeling tools. Distribution partners serve North America, South America, Europe, and the Middle East.

Silara®Neuromorphic Big Compute

Silara^®
Neuromorphic Big Compute