Azustador Technologies

Creators of the CogCore Architecture

We are developing CogCore, a new AI compute architecture designed for large-scale transformer inference. CogCore combines tile-based compute, systolic acceleration, ultra-efficient on-chip communication, and distributed memory to overcome the fundamental limitations of GPU-centric designs.

Our architecture enables massively parallel execution, low-latency token processing, and dramatically reduced energy per inference. CogCore is built from first principles to support the next generation of AI workloads.

CogCore is currently in the architectural simulation phase, including:

• 1024-tile mesh modeling (32×32)
• Wormhole NoC with congestion tracking
• Physical cycle model (compute, memory, NoC)
• Execution with real transformer weights
• Distributed KV-cache simulation
• FPGA microarchitecture preparation

We are now opening the next stage of development to strategic partners in silicon, accelerators, or compute infrastructure.

For technical collaboration or investment discussions:

Email: founder@azustador.com
Founder: Daniel Dionísio