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KIOXIA AiSAQ™ Software Advances AI RAG with New Version of Vector Search Library
KIOXIA AiSAQ™ Software Advances AI RAG with New Version of Vector Search Library

Business Wire

timea day ago

  • Business
  • Business Wire

KIOXIA AiSAQ™ Software Advances AI RAG with New Version of Vector Search Library

TOKYO--(BUSINESS WIRE)--In an ongoing effort to improve the usability of AI vector database searches within retrieval-augmented generation (RAG) systems by optimizing the use of solid-state drives (SSDs), Kioxia Corporation, a world leader in memory solutions, today announced an update to its KIOXIA AiSAQ™ (All-in-Storage ANNS with Product Quantization) software. This new open-source release introduces flexible controls allowing system architects to define the balance point between search performance and the number of vectors, which are opposing factors in the fixed capacity of SSD storage in the system. The resulting benefit enables architects of RAG systems to fine tune the optimal balance of specific workloads and their requirements, without any hardware modifications. First introduced in January 2025, KIOXIA AiSAQ software uses a novel approximate nearest neighbor search (ANNS) algorithm that is optimized for SSDs and eliminates the need to store index data in DRAM. By enabling vector searches directly on SSDs and reducing host memory requirements, KIOXIA AiSAQ technology allows vector databases to scale, largely without the restrictions caused by limited DRAM capacity. When the installed capacity of the SSD in the system is fixed, increasing search performance (queries per second) requires more SSD capacity consumed per vector. This results in a smaller number of vectors. Conversely, to maximize the number of vectors, SSD capacity consumption per vector needs to be reduced, which results in lower performance. The optimal balance between these two opposing conditions varies depending on the specific workload. To find the appropriate balance, KIOXIA AiSAQ software introduces flexible configuration options. This latest update allows administrators to select the optimal balance for a variety of contrasting workloads among the RAG system. This update makes KIOXIA AiSAQ technology a suitable SSD-based ANNS for not only RAG applications but also other vector-hungry applications such as offline semantic searches. With growing demand for scalable AI services, SSDs offer a practical alternative to DRAM for managing the high throughput and low latency that RAG systems require. KIOXIA AiSAQ software makes it possible to meet these demands efficiently, enabling large-scale generative AI without being constrained by limited memory resources. By releasing KIOXIA AiSAQ software as open-source, Kioxia reinforces its commitment to the AI community with the promotion of SSD-centric architectures for scalable AI. Please follow the link to download KIOXIA AiSAQ open-source software. * KIOXIA AiSAQ: All-in-Storage ANNS with Product Quantization, a novel method of index data placement, is a trademark of Kioxia. * All other company names, product names and service names may be trademarks of third-party companies. About Kioxia Kioxia is a world leader in memory solutions, dedicated to the development, production and sale of flash memory and solid-state drives (SSDs). In April 2017, its predecessor Toshiba Memory was spun off from Toshiba Corporation, the company that invented NAND flash memory in 1987. Kioxia is committed to uplifting the world with 'memory' by offering products, services and systems that create choice for customers and memory-based value for society. Kioxia's innovative 3D flash memory technology, BiCS FLASH™, is shaping the future of storage in high-density applications, including advanced smartphones, PCs, automotive systems, data centers and generative AI systems. *Information in this document, including product prices and specifications, content of services and contact information, is correct on the date of the announcement but is subject to change without prior notice.

KIOXIA AiSAQ Software Advances AI RAG with New Version of Vector Search Library
KIOXIA AiSAQ Software Advances AI RAG with New Version of Vector Search Library

Business Wire

timea day ago

  • Business
  • Business Wire

KIOXIA AiSAQ Software Advances AI RAG with New Version of Vector Search Library

SAN JOSE, Calif.--(BUSINESS WIRE)--In an ongoing effort to improve the usability of AI vector database searches within retrieval-augmented generation (RAG) systems by optimizing the use of solid-state drives (SSDs), KIOXIA today announced an update to its AiSAQ™ (All-in-Storage ANNS with Product Quantization) software. This new open-source release introduces flexible controls that allow system architects to define the balance point between search performance and the number of vectors, which are opposing factors with the fixed capacity of SSD storage in the system. The resulting benefit enables architects of RAG systems to fine-tune the optimal balance between specific workloads and their requirements, without any hardware modifications. "This level of flexibility is critical to building scalable, RAG systems – powered by SSD storage. By open-sourcing our technology, we're reinforcing our commitment to the AI community with solutions that are both powerful and accessible to everyone." KIOXIA AiSAQ software uses a novel approximate nearest neighbor search (ANNS) algorithm that is optimized for SSDs and eliminates the need to store index data in DRAM. By enabling vector searches directly on SSDs and reducing host memory requirements, KIOXIA AiSAQ technology allows vector databases to scale, largely without the restrictions caused by limited DRAM capacity. When the installed capacity of the SSD in the system is fixed, increasing search performance (queries per second) requires more SSD capacity consumed per vector. This results in a smaller number of vectors. Conversely, to maximize the number of vectors, SSD capacity consumption per vector needs to be reduced, which results in lower performance. The optimal balance between these two opposing conditions varies depending on the specific workload. To find the appropriate balance, KIOXIA AiSAQ software introduces flexible configuration options. This latest update allows administrators to select the optimal balance for a variety of contrasting workloads among the RAG system. This update makes KIOXIA AiSAQ technology a suitable SSD-based ANNS for not only RAG applications, but also other vector-hungry applications such as offline semantic searches. With growing demand for scalable AI services, SSDs offer a practical alternative to DRAM for managing the high throughput and low latency that RAG systems require. KIOXIA AiSAQ software makes it possible to meet these demands efficiently, enabling large-scale generative AI without being constrained by limited memory resources. By open-sourcing KIOXIA AiSAQ software, the company is advancing SSD-centric architectures and supporting broader adoption of scalable AI systems. 'With the latest version of KIOXIA AiSAQ software, we're giving developers and system architects the tools to fine-tune both performance and capacity,' said Neville Ichhaporia, senior vice president and general manager of the SSD business unit at KIOXIA America, Inc. 'This level of flexibility is critical to building scalable, RAG systems – powered by SSD storage. By open-sourcing our technology, we're reinforcing our commitment to the AI community with solutions that are both powerful and accessible to everyone." Please follow the link to download KIOXIA AiSAQ open-source software: For more information, please visit and follow the company on X, formerly known as Twitter and LinkedIn ®. About KIOXIA America, Inc. KIOXIA America, Inc. is the U.S.-based subsidiary of KIOXIA Corporation, a leading worldwide supplier of flash memory and solid-state drives (SSDs). From the invention of flash memory to today's breakthrough BiCS FLASH™ 3D technology, KIOXIA continues to pioneer innovative memory, SSD and software solutions that enrich people's lives and expand society's horizons. The company's innovative 3D flash memory technology, BiCS FLASH, is shaping the future of storage in high-density applications, including advanced smartphones, PCs, automotive systems, data centers and generative AI systems. For more information, please visit © 2025 KIOXIA America, Inc. All rights reserved. Information in this press release, including product pricing and specifications, content of services, and contact information is current and believed to be accurate on the date of the announcement, but is subject to change without prior notice. Technical and application information contained here is subject to the most recent applicable KIOXIA product specifications. Notes: KIOXIA AiSAQ: All-in-Storage ANNS with Product Quantization, a novel method of index data placement, is a trademark of KIOXIA. LinkedIn is a trademark of LinkedIn Corporation and its affiliates in the United States and/or other countries. All other company names, product names and service names may be trademarks of third-party companies.

KIOXIA AiSAQ™ Technology Designed to Reduce DRAM Requirements in Generative AI Systems Released as Open Source Software
KIOXIA AiSAQ™ Technology Designed to Reduce DRAM Requirements in Generative AI Systems Released as Open Source Software

Yahoo

time28-01-2025

  • Business
  • Yahoo

KIOXIA AiSAQ™ Technology Designed to Reduce DRAM Requirements in Generative AI Systems Released as Open Source Software

Software technology improves vector database scaling and accuracy in RAG workflows by using SSDs TOKYO, January 28, 2025--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced the open-source release of its new All-in-Storage ANNS with Product Quantization (AiSAQ) technology(1). A novel "approximate nearest neighbor" search (ANNS) algorithm optimized for SSDs, KIOXIA AiSAQ™ software delivers scalable performance for retrieval-augmented generation (RAG) without placing index data in DRAM - and instead searching directly on SSDs. Generative AI systems demand significant compute, memory and storage resources. While they have the potential to drive transformative breakthroughs across various industries, their deployment often comes with high costs. RAG is a critical phase of AI that refines large language models (LLMs) with data specific to the company or application. A central component of RAG is a vector database that accumulates and converts specific data into feature vectors in the database. RAG also utilizes an ANNS algorithm, which identifies vectors that improve the model based on similarity between the accumulated and target vectors. For RAG to be effective, it must rapidly retrieve the information most relevant to a query. Traditionally, ANNS algorithms are deployed in DRAM to achieve the high-speed performance required for these searches. KIOXIA AiSAQ technology provides a scalable and efficient ANNS solution for billion-scale datasets with negligible memory usage and fast index switching capabilities. Key Benefits of KIOXIA AiSAQ Technology: Allows large-scale databases to operate without relying on limited DRAM resources, enhancing the performance of RAG systems. Eliminates the need to load index data into DRAM, enabling the vector database to launch instantly. This supports seamless switching between user-specific or application-specific databases on the same server for efficient RAG service delivery. Optimized for cloud systems by storing indexes in disaggregated storage for sharing across multiple servers. This approach dynamically adjusts vector database search performance for specific users or applications and facilitates the rapid migration of search instances between physical servers. Kioxia is demonstrating its commitment to advancing AI by contributing its innovative KIOXIA AiSAQ technology to the community as open-source software. Notes (1) Please follow the link for the open-source release of KIOXIA *Company names, product names and service names may be trademarks of third-party companies. About KioxiaKioxia is a world leader in memory solutions, dedicated to the development, production and sale of flash memory and solid-state drives (SSDs). In April 2017, its predecessor Toshiba Memory was spun off from Toshiba Corporation, the company that invented NAND flash memory in 1987. Kioxia is committed to uplifting the world with "memory" by offering products, services and systems that create choice for customers and memory-based value for society. Kioxia's innovative 3D flash memory technology, BiCS FLASH™, is shaping the future of storage in high-density applications, including advanced smartphones, PCs, automotive systems, data centers and generative AI systems. *Information in this document, including product prices and specifications, content of services and contact information, is correct on the date of the announcement but is subject to change without prior notice. View source version on Contacts Media Inquiries:Kioxia CorporationSales Strategic Planning DivisionSatoshi Shindo / Koji TakahataTel: +81-3-6478-2404 Customer Inquiries:Kioxia GroupGlobal Sales Officeshttps:// Sign in to access your portfolio

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