Key Takeaway
Discover how our cutting-edge HBM solution overcomes space, maintenance, and performance challenges, boosting the efficiency of GPUs manufacturing..
HBM provides significantly greater bandwidth than traditional DRAM for handling demanding workloads, low power consumption for energy-efficient performance, and a vertical stacking design to fit space-constrained applications such as GPUs and AI accelerators.
Challenges / Requirements:
The HBM bonding machine, used for GPUs faced several key challenges:
- Space Limitation: The system had to fit within strict size constraints.
- Excessive maintenance: Frequent validation testing led to time-consuming and resource-intensive.
- Performance Limits Causing Delays & Inaccuray:Insufficient processing power led to slow data handling and inaccurate transmission, affecting efficiency and reliability.
Solution:
System1. HBM Controller
- IPC-6025: 5-slot desktop wallmount chassis
- PCE-5133: Intel 14th Generation Core i single board computer
- PCE-5B05-02: Excellent expandability for machine integration
System2. HBM Vision System
- IPC-7120: Wallmount Chassis with front I/O Interfaces for ATX/mATX motherboard
- AIMB-788: LGA1700 12th/13th/14th generation Intel® Core™ i9/i7/i5/i3 ATX motherboard
- RTX 4000 Ada: NVIDIA Ada Lovelace GPU architecture, featuring 6,144 CUDA cores and 20 GB GDDR6 memory with ECC
- PCIE-1164-AE: Frame grabber with CoaxPress interface, supports up to 4 CXP-12 cameras
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Benefits:
- Space Efficiency: Compact design significantly optimizes space-saving
- Long Lifecycle: 10 years+ longevity and revision control
- High Performance: Delivering up to 1.34x faster multi-thread performance, enhanced memory bandwidth with DDR5 support