forbes.com
High-Capacity SSDs and Shared Storage Enhance AI Performance
Kioxia announced its 122.88TB LC9 series NVMe SSD for AI applications, while Pliops is collaborating with LMCache Lab to improve LLM inference using shared storage, adding a petabyte-tier of memory; both will be at next week's NVIDIA GTC.
- How do the technological advancements in high-capacity SSDs and shared storage address the challenges of scaling AI workloads?
- The new Kioxia SSD addresses the growing need for high-capacity storage in AI, particularly for LLMs, by providing significantly increased storage density. The Pliops collaboration enhances LLM inference speed by introducing a petabyte-tier of memory below HBM, optimizing data access and improving overall system efficiency. This development directly impacts AI model training and inference speed and cost.
- What are the immediate impacts of Kioxia's new high-capacity SSD and Pliops' shared storage solution on AI model training and inference?
- Kioxia launched a 122.88TB NVMe SSD (LC9 series) for AI applications, featuring a PCIe 5.0 interface and dual-port capability for improved fault tolerance. This high-capacity drive is crucial for large language model (LLM) training and inference, enabling faster data retrieval and enhancing performance. Pliops is collaborating with LMCache Lab to improve LLM inference performance using shared storage and efficient cache offloading, adding a petabyte-tier of memory.
- What are the potential long-term implications of these developments for the cost and performance of AI applications, and how might they affect the future landscape of AI infrastructure?
- High-capacity SSDs like Kioxia's LC9 series and advanced storage solutions like Pliops' shared storage system are vital for scaling AI workloads. The trend towards higher storage density and faster data access is crucial for meeting the demands of increasingly complex LLMs and reducing bottlenecks in AI training and inference. Future improvements in this area will likely focus on even greater capacity, speed, and cost-effectiveness.
Cognitive Concepts
Framing Bias
The framing is largely neutral, focusing on technological advancements in AI storage. The selection of Kioxia and Pliops might reflect their prominence or the availability of pre-event announcements, but this doesn't appear to be a deliberate bias to favor certain companies.
Bias by Omission
The article focuses on two companies, Kioxia and Pliops, and their contributions to AI storage solutions. While it mentions that other SSD companies have released similar products, it doesn't delve into specifics, potentially omitting valuable comparative information. The overall focus on GTC and pre-event announcements may also lead to omission of other relevant developments in the field. However, this omission is likely due to scope and space constraints.
Sustainable Development Goals
The development and deployment of high-capacity SSDs and advanced storage solutions directly contribute to advancements in AI, a key driver of innovation and technological progress. This aligns with SDG 9, which promotes resilient infrastructure, sustainable industrialization, and fosters innovation.