Chiplets Are The New Baseline for AI Inference Chips
Monolithic AI chips are just not viable, since they force trade-offs at every level, including thermal limits and reticle constraints.
By Sid Sheth, Founder & CEO of d-Matrix
EETimes | August 5, 2025
AI has moved from proof-of-concept to production at scale, and inference, not training, is where the real operational and economic pressure lies. Whether you’re powering conversational agents, orchestrating industrial automation, or deploying AI at the edge, the cost of inference now dominates the AI lifecycle.
Yet many systems still rely on monolithic chip architectures that are fundamentally misaligned with the realities of inference workloads.
The result? Wasted energy. Inflated costs. Underutilized silicon.
Chiplet-based architectures offer a way out. By partitioning a system into tightly integrated, functional modules—compute, memory, interconnect, and control—chiplets enable better yield, more efficient packaging, and faster system evolution.
To read the full article, click here
Related Chiplet
- FlexGen Multi-Die Smart Network-on-Chip (NoC) IP
- Ncore Multi-Die Interconnect IP
- Integrated voltage regulator (IVR) chiplet
- High-performance connectivity chiplets
- eFPGA Chiplet
Related Technical Papers
- Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
- CHIPSMORE: Compute-in-Interconnect and -Memory Chiplets for Multi-Mode Multi-Request LLM Inference Acceleration
- PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration
- Toward Open-Source Chiplets for HPC and AI: Occamy and Beyond
Latest Technical Papers
- Cu-Cu Hybrid Bonding for Chiplets Heterogeneous Integration
- Location-Aware Caching Mechanism for minimizing performance degradation induced by inefficient inter-chiplet data path
- Predicting Cure Evolution and Thermal Endurance of a Highly Filled Epoxy Underfill for Advanced Packaging
- A Unified Interconnection Network for Chiplet-Based Scaling of the BrainScaleS Neuromorphic System
- Fengshui: Demystifying Chiplet Ecosystem and Bespoke Neural Network Accelerator Codesign