Breaking the von Neumann Memory Wall

Moving weights and activation matrices between separate DRAM memory and processing units consumes over 80% of total system energy in traditional AI architectures. To break this memory wall, computation must occur directly inside the storage medium.

ReRAM Crossbar Arrays. Kirchoff Current Law. Ultra-Low Power.

Tashkian Semiconductor designs analog-in-memory compute (NVM-IMC) macros using Resistive RAM (ReRAM). By leveraging Kirchhoff's current law and Ohm's law directly across dense crossbar arrays, matrix-vector multiplications execute in single-cycle analog domain.

Pillar 1: Non-Volatile Memory Crossbar Integration

By embedding compute directly into the memory bitcells, data transfer energy is eliminated. Matrix-vector multiplication operates at sub-picojoule per MAC efficiency, enabling ultra-fast inference directly on silicon.

You can:

• View and filter request payloads or event logs.

• Pin important signals for quick reference.

• Search structured data without leaving your workspace.

It’s the foundation for everything else, because before you automate or monitor, you need to understand what’s going on.

Pillar 2: Dynamic Thermal Drift Compensation

Once you can see your data clearly, the next step is Automate. This module lets you turn any manual debugging step, build routine, or test trigger into a defined workflow.

Examples:

• Run a cleanup task when a new build completes.

• Trigger notifications when an endpoint changes state.

• Chain actions across environments (dev → staging → prod).

Automation here is intentionally lightweight — just enough logic to remove friction, not replace your system.

*Think of it as the glue between what you see and what you do next.

Pillar 3: Sparsity-Aware Matrix Scheduling

The final piece is Monitor — real-time awareness without heavy setup. It lets you track the key metrics and signals you actually care about, not an ocean of noise.

Use cases include:

• Watching API uptime and latency trends.

• Tracking event rates or job completion times.

• Setting simple alerts for threshold breaches.

You don’t need a full observability stack —a just clear, focused monitoring that keeps your workflow tight.

Why Silicon-Enforced Security is Non-Negotiable

True post-quantum security cannot be achieved with software alone. Quantum cryptanalysis and physical laboratory attacks require hardware-rooted silicon trust. Tashkian Semiconductor bridges post-quantum algorithms directly into high-speed silicon logic verified across TSMC, GlobalFoundries, and Intel Foundry nodes.

Tashkian Semiconductor bridges post-quantum algorithms directly into high-speed silicon logic verified across TSMC, GlobalFoundries, and Intel Foundry nodes.

• Inspect gives you insight.

• Automate gives you leverage.

• Monitor gives you confidence.

That’s the core workflow — and the heart of our product.