Why did NVIDIA choose SK Hynix and Samsung over Micron for HBM4?
Reportedly, Micron did not qualify for the significant system upgrade NVIDIA performed for VR200 NVL72, which demanded aggressive memory specification scaling.
Tech / Memory
NVIDIA is set to utilize SK Hynix and Samsung HBM4 memory in its upcoming "Vera Rubin" AI systems, scheduled to ship in late summer. This decision comes as NVIDIA pushes the boundaries of memory bandwidth for AI, leaving Micron to supply LP...
NVIDIA's "Vera Rubin" AI systems, particularly the VR200 NVL72, represent a significant leap in computational power for next-generation AI models. The selection of SK Hynix and Samsung for HBM4 memory underscores their capabilities in meeting NVIDIA's stringent requirements for memory bandwidth. Micron, while not included in the HBM4 supply, remains a key player by providing LPDDR5X memory for the "Vera" CPUs, showcasing a diversified approach to memory solutions within the same ecosystem.
The increase in system bandwidth from an initial target of 13 TB/s to the current 22 TB/s highlights the rapid advancements in memory technology driven by AI demands. This also reflects NVIDIA's strategic push to optimize memory specifications, ensuring maximum performance for its AI platforms.
*Actionable Takeaway:* Companies involved in AI development should closely monitor the evolving memory landscape to leverage the latest advancements in HBM and LPDDR technologies.
Reportedly, Micron did not qualify for the significant system upgrade NVIDIA performed for VR200 NVL72, which demanded aggressive memory specification scaling.
Micron will supply LPDDR5X memory for the "Vera" CPUs, which can be equipped with up to 1.5 TB of LPDDR5X, making up for the lost share with the HBM4.
HBM4 is the sixth-generation of High Bandwidth Memory, designed to provide significantly faster data access for demanding applications like AI and high-performance computing.
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