Cornami builds production-proven morphable silicon and end-to-end solutions for workloads where deterministic execution, sub-millisecond reconfiguration, and elastic computation are the difference between possible and impossible.
AI now writes a rapidly growing share of production code. The algorithms landing on hardware change more often, less predictably, and with less human mediation than at any prior point in the history of computing.
Fixed silicon cannot keep up. ASICs and GPUs adapt on the timescale of a new chip or a full firmware cycle. The only architecture that matches the pace of modern software is one that reconfigures at runtime.
When AI writes the code that designs the chips that run AI, hardware must morph at the speed of software. That is the Cornami thesis.
Three capabilities that no other silicon offers together. Each one is architectural, not a tuning parameter, which is why they hold under load and scale with the workload.
Every compute element fires on a compile-time fixed cycle. Latency is bounded, repeatable, and knowable in advance.
p99.99 = p50
Compute, memory, and interconnect reconfigure across three dimensions. Every phase of a workload gets its own purpose-built machine.
~1 ms full-chassis reconfigure
Per-core independent sequencing means power follows activity, not capacity. Idle regions cost nothing.
No barriers. No global clock domain waste.
Cornami is not a chip company. We deliver end-to-end, application-specialized compute solutions: custom silicon, system software, topology, and workload mapping. Every engagement is engineered to outcome, not sold off the shelf.
A morphable, reconfigurable fabric of compute units with private local memory. Operator-level RAE, per-core SRAM structure, and four layers of interconnect all reconfigure under compiler control.
Stream-centric, not thread-centric. Describe a dataflow graph, start it, and the machine executes continuously with compiler-guaranteed reuse and forward compatibility across generations.
Our production ASIC. Full IEEE-754 floating point and integer support, with the numeric breadth needed for AI, signal processing, and cryptography on the same fabric.
Rack-scale acceleration delivered and operating at customer sites. The full stack: silicon, software, and workload mapping, turnkey.
