Dnotitia Inc. (CEO: Moo-kyung Jeong) , a company specializing in long-term memory artificial intelligence (AI) and semiconductor integrated solutions, participated in 'Supercomputing (SC25) 2025' held in St. Louis, USA from November 18 to 20 (local time) and revealed the performance results of its FPGA-based VDPU (Vector Data Processing Unit) product.
Internal testing has shown that a single VDPU card can deliver vector search performance equivalent to up to six high-performance server CPUs, and a single server equipped with four VDPUs can replace up to nine two-socket CPU servers with throughput. VDPUs are dedicated processors designed to accelerate graph search and vector similarity calculations in parallel during the building and searching of vector databases, rapidly delivering the data required for GPUs or NPUs to perform LLM inference.
Dinoticia first unveiled its VDPU development plans at SC24 last year, and at SC25 this year, it presented specific performance metrics for its FPGA-based products. This accelerated data access and retrieval processes, previously identified as bottlenecks in AI workloads, at the hardware level, and showcased an AI infrastructure suitable for LLM-based RAG and agent environments.
Jeongmu Kyung, CEO of Dinoticia, said, “In the future, we need an environment where AI automatically finds the data it needs and creates the base data,” and “VDPU will serve as a core semiconductor for large-scale AI storage.”
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