The Multi-Die Packaging Revolution in AI Accelerators
As monolithic silicon die sizes reach photolithographic reticle limits, scaling accelerator performance requires multi-die chiplet architectures connected via advanced 2.5D/3D packaging (such as TSMC CoWoS). InferAccel leverages high-density packaging and high-speed interconnects to unify disparate dies into seamless virtual accelerators.
NVLink and High-Speed Inter-Chiplet Fabrics
When scaling tensor parallel models across multiple accelerator chips, inter-chip communication bandwidth determines overall cluster throughput. InferAccel integrates multi-terabit NVLink and proprietary inter-chiplet optical/electrical interfaces, enabling peer accelerators to share VRAM buffers and intermediate tensors at wire speed.
PCIe Gen6 and CXL 3.0 Host Integration
Connecting accelerators to host CPU systems requires high-throughput I/O channels. InferAccel supports PCIe Gen6 and Compute Express Link (CXL) 3.0 standards, delivering bidirectional bandwidth up to 256 GB/s per x16 link and enabling coherent memory sharing between host RAM and accelerator HBM.
Advanced Thermal and Power Distribution in Chiplet Packages
Multi-die packaging generates extreme localized heat flux densities. InferAccel co-designs inter-die power delivery networks and microfluidic liquid cooling channels directly into silicon packaging substrates, preventing thermal throttling during sustained peak workloads.
