The technology
CRAM: Breaking Through the Memory Wall with Compute-in-Memory
Traditional architectures move data to computation. “Near-memory” architectures shorten the journey.
Stealth Cram’s Computational Random Access Memory (CRAM) changes the destination entirely by performing computation where data already resides.
Memory that computes
The Architecture Behind the Breakthrough
Human brains don’t separate memory from computation—they happen together.
CRAM attempts to apply this capability to computing by transforming memory from passive storage into active computation. And because data needn’t travel nearly as far as CPU, GPU or AI Accelerator technologies, the systems that use CRAM can dramatically reduce their energy consumption while supporting heavy workloads.
Plus, CRAM is digital and reprogrammable. Unlike many emerging AI hardware and compute-in-memory approaches, it combines architectural efficiency with flexibility, precision and scalability.
Deep IP portfolio
Several key U.S. and international patents
Deterministic
Reliable, repeatable computing
Digital & Reprogrammable
Built for flexibility and precision
Foundry-Compatible
Ready for standard semiconductor manufacturing
20+ years of validation
Decades in the Making. Engineered for Commercialization.
CRAM represents the culmination of 20+ years of research, IP and technology validation.
Unlike other approaches, it was intentionally engineered to combine energy efficiency with deterministic execution, software compatibility and standard semiconductor manufacturing. Early breakthroughs in magnetic memory provided the endurance and reliability to transform compute-in-memory from an academic concept into a practical architecture.
Why now?
Exploding AI workloads, mounting energy constraints and the growing economic cost of conventional AI infrastructure make a new architectural foundation immensely relevant.
AI isn’t running out of intelligence. It’s running into the memory wall.
Jian-Ping (JP) Wang
Now · Next · Future
Designed for Wherever Intelligence Lives
Tomorrow's breakthroughs will require smaller, smarter computing architectures that deliver far greater processing loads with less energy dissipation.
CRAM was always designed with this future in mind. Stealth Cram is developing a commercial platform that supports intelligent computing wherever it emerges—from large data centers to low-power drones and camera systems to neuromorphic computing and in vivo bioelectronics.
Now · Edge AI and Embedded Intelligence
Powerful Intelligence in Power-Constrained Devices
Tomorrow's autonomous systems—from drones and robotics to vehicles, cameras and industrial equipment—perform increasingly sophisticated AI inference using limited onboard power. By reducing unnecessary data movement, CRAM enables powerful intelligent computing where efficiency matters.
Next · Inference at Scale
Scaling Intelligence Without Scaling Power
Today's hyperscale AI infrastructure processes extraordinary volumes of information, but consumes tremendous amounts of energy moving data between memory and processors. CRAM reduces that movement, helping data centers support increasingly demanding AI inference workloads with significantly greater energy efficiency.
Future · Super Intelligence
A Platform for Tomorrow’s Intelligence
Because CRAM is fully digital and reprogrammable, it isn't confined to today's AI workloads. As intelligent systems evolve in amazing ways—from edge inference to scientific computing to future computational paradigms—the same architectural foundation can keep evolving alongside them.