Products
Design complex fabrics in Python, rapidly explore architecture alternatives, and validate performance through an easy-to-use simulation environment, all before implementation.
Modern compute systems require fabric architectures that balance bandwidth, latency, scalability, and physical implementation constraints. FabricStudio provides a unified environment to explore design choices, evaluate performance tradeoffs, and optimize fabric microarchitecture before implementation.
Through static analysis and dynamic simulation, engineering teams can identify bottlenecks, validate KPIs, optimize topology, and ensure deadlock-free operation. FabricStudio’s correct-by-construction methodology enables physically aware, modular implementation with greater deployment confidence and faster time to market.
Rapidly define and modify complex fabric architectures using intuitive Python APIs. Build designs programmatically, automate repetitive tasks, and quickly explore hundreds of architectural configurations.
Explore fabric topologies, channel configurations, and design parameters to identify the optimal architecture for your performance, bandwidth, and physical implementation goals.
Quickly evaluate bandwidth, latency, congestion, and QoS behavior using an intuitive simulation environment that makes performance analysis fast and accessible throughout the design process.
Optimize fabric microarchitectures within floorplan and physical design constraints to create scalable implementations that are practical to deploy and manufacture.
Guarantee deadlock-free operation and accelerate implementation with automated design validation, deployment collateral generation, and implementation-ready outputs.
Synthesizable SystemVerilog
Cycle-accurate models
Floorplan collateral
Deadlock-free by construction
Discover how FabricStudio accelerates fabric architecture exploration, optimization, and deployment. Request a personalized demo or connect with our team to discuss your design challenges.
Learn how FabricStudio supports the specification, exploration, and deployment of chiplet-aware fabric microarchitectures. The brief shows how users can define topology, channel parameters, floorplan constraints, and physical-design requirements; evaluate alternatives through static analysis and dynamic simulation; and generate deadlock-free, QoS-compliant outputs including area estimates, models, RTL, and design collateral.