Throughput‑focused inference
Inference pipeline optimized for maximum throughput across large datasets
When one engine isn’t enough, Atrevido Cluster multiplies throughput under the same ISA and memory‑first design (CPU/Vector, optionally Tensor‑equipped instances)
Effortless Scale-out
Scale‑out without software rewrites
Balanced by design
Compute kept busy by Gazillion™‑driven bandwidth across the fabric
Ready Today, Future-Proof
Silicon‑ready today; aligned with future boards/chiplets
Cluster Integration Reference
Reference cluster topologies and coherency/NoC integration notes
Sustained Data Flow
Gazillion™ across the fabric to sustain data flow
Unified Programming Model
Unified programming model across single and multi‑engine systems
Inference pipeline optimized for maximum throughput across large datasets
Accelerating large, complex data analyses performed on scheduled, high-volume data sets
Enabling simultaneous, low-latency data processing and inference across multiple data flows
Our IP is silicon-ready, and in silicon implementations. Speak to us about reference designs