Vendor: Semidynamics Category: NPU

Clustered IP to Scale Throughput

When one engine isn’t enough, Atrevido Cluster multiplies throughput under the same ISA and memory‑first design (CPU/Vector, optionally Tensor‑equipped instances)

Overview

When one engine isn’t enough, Atrevido Cluster multiplies throughput under the same ISA and memory‑first design (CPU/Vector, optionally Tensor‑equipped instances)  

Architecture Highlights

  • 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

Software Path

Same RISC‑V ISA from single‑engine to multi‑engine deployments

Benefits

  • 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

Applications

  • Throughput‑focused inference: Inference pipeline optimized for maximum throughput across large datasets
  • Batch analytics: Accelerating large, complex data analyses performed on scheduled, high-volume data sets
  • Multi‑stream vision: Enabling simultaneous, low-latency data processing and inference across multiple data flows

Specifications

Identity

Part Number
Cervell™ NPU C32
Vendor
Semidynamics
Type
Silicon IP

Files

Note: some files may require an NDA depending on provider policy.

Variants in this family

This IP core belongs to the Cervell™ family.

Part Number Short Description
Cervell™ NPU C1 NPU IP Core for Edge AI
Cervell™ NPU C8 Higher‑Throughput NPU IP Core
Cervell™ NPU C32 Clustered IP to Scale Throughput

Provider

HQ: Spain

Semiconductor IP FAQ

What is Clustered IP to Scale Throughput?

Clustered IP to Scale Throughput is a Semiconductor IP IP core from Semidynamics listed on Semi IP Hub. Clustered IP to Scale Throughput is a variant of All-In-One RISC-V NPU.

How should engineers evaluate this Semiconductor IP?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Semiconductor IP IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

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