Brand: Kioxia | Category: Enterprise SSDs
SKU: KIOX-KIOXIAAISAQRDMA | Part #: KIOXIA-AISAQ-RDMA | MPN: KIOXIA-AISAQ-RDMA
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The Kioxia AiSAQ Software-Optimized RDMA SSD Solution from Kioxia is enterprise-grade Enterprise SSDs hardware built for data centers. Kioxia AiSAQ offloads vector database indices from DRAM to NVMe SSDs via RDMA, enabling petabyte-scale AI inference and RAG pipelines at a fraction of the memory footprint. Available in brand new condition. Kioxia enterprise ssds products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
| Brand | Kioxia |
| Category | Enterprise SSDs |
| SKU | KIOX-KIOXIAAISAQRDMA |
| Part Number | KIOXIA-AISAQ-RDMA |
| Condition | New |
| Solution Name | AiSAQ (AI Storage Acceleration with Queue) |
| Launch Date | Q1 2025 |
| Primary Technology | Software-Optimized RDMA SSD Vector Offload |
| Target Workloads | Vector database ANN search, RAG inference, semantic similarity search, AI recommendation |
| Supported Vector Index Formats | DiskANN, HNSW (disk-resident variants), IVF-Flat with SSD paging |
| RDMA Transport Compatibility | RoCE v2, InfiniBand (with verbs API), iWARP |
| Host Interface (Underlying SSDs) | PCIe Gen 4 x4 / PCIe Gen 5 x4, NVMe 1.4 / NVMe 2.0 |
| DRAM Reduction vs. In-Memory Index | Up to 90% reduction for billion-scale vector datasets |
| Supported Vector Dimensionality | Up to 1536 dimensions (validated); extensible via configuration |
| Query Latency (P99, 1B vectors, SSD-resident) | < 10 ms with prefetch optimization enabled |
| QPS Throughput Scaling | Linear scaling with additional NVMe SSD nodes in disaggregated topology |
| I/O Pattern Optimization | Custom random small-block read scheduler with ANN-graph-aware prefetching |
| Operating System Support | Linux kernel 5.15+; RHEL 8/9, Ubuntu 20.04/22.04 validated |
| Software Integration | Python SDK, C++ API, gRPC service interface; compatible with LangChain and LlamaIndex RAG frameworks |
| Underlying SSD Form Factors Supported | U.2 (2.5-inch), E1.S, E3.S, EDSFF E1.L |
| Maximum Index Scale (Validated) | Up to 100 billion vectors per storage cluster |
| Concurrent Client Connections | Up to 1024 simultaneous RDMA sessions per storage node |
| Power Profile (per storage node, typical) | Varies by SSD density; baseline NVMe SSD active draw 5–25 W per drive |
| Security Features | NVMe TCG Opal 2.0 self-encrypting drive support; in-flight data encryption via RDMA transport layer |
| Deployment Model | Software package deployable on standard x86 servers with RDMA-capable NICs and Kioxia NVMe SSDs |
| Management Interface | REST API dashboard, CLI toolset, Prometheus-compatible metrics exporter |