Unverified50% confidenceOpinionExact time
NVIDIA positions GDS as a robust, portable and efficient data path solution, covering both on-premises deployments and cloud environments.
1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe core idea of GDS is to establish a direct DMA channel between storage and GPU memory, with data flowing from NVMe devices through PCIe switches directly into GPU memory.67% similarUnverifiedGDS relies on local NVMe devices that support direct I/O, or on certified networked storage solutions (such as RDMA-based parallel file systems).67% similarUnverifiedConsumer-grade GPUs are inferior to data center cards in memory bandwidth, NVLink interconnect capability, and long-term full-load stability, making them more suitable for inference deployment than large-scale distributed training.64% similarUnverifiedThe fully local architecture was chosen because cloud-based solutions require internet connectivity, upload screen usage time data, charge for every API call, and cannot run on old hardware64% similarUnverifiedVDF supports three deployment modes—cloud, hybrid, and fully on-premises—and emphasizes that data always remains on the user's own infrastructure.64% similar
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