Kioxia CM7-R Series NVMe SSD 7.68TB U.3 Read-Intensive

The Kioxia CM7-R Series delivers enterprise-grade NVMe performance in a U.3 form factor, engineered for read-heavy workloads in large-scale distributed storage and analytics environments. Built on fifth-generation NVMe technology, this 7.68TB capacity drive combines sequential read throughput exceeding 7,000 MB/s with optimized latency characteristics for consistent performance under sustained access patterns. The CM7-R architecture employs Kioxia's 3D Flash technology with intelligent caching algorithms, enabling predictable performance for mission-critical data analytics clusters without write amplification penalties typical of mixed-workload SSDs.

Designed specifically for financial institutions, research universities, and cloud infrastructure operators managing petabyte-scale datasets, the CM7-R prioritizes read throughput and power efficiency over write performance. The drive features advanced thermal management with active monitoring, compliance with Enterprise NVMe specifications (NVMe 2.0), and end-to-end data protection mechanisms. Its U.3 connector provides backward compatibility with legacy SAS infrastructure while delivering native NVMe performance, allowing seamless integration into existing storage hierarchies without architectural redesign.

Launched in Q3 2024, the CM7-R reflects current-generation density and performance standards, addressing the specific requirements of large-scale object storage deployments (S3-compatible systems, Ceph clusters, MinIO environments) and analytical data warehouses that prioritize throughput density and operational efficiency. The 7.68TB capacity maximizes storage density per server slot, reducing infrastructure footprint for hyperscale deployments.

Ideal for

• Large-scale analytical data lakes and data warehouse acceleration for financial modeling, risk analysis, and trading infrastructure requiring sustained multi-gigabyte-per-second sequential reads
• Research computing clusters for genomic sequencing analysis, climate modeling, and high-energy physics simulations processing terabyte-scale datasets across distributed node clusters
• Object storage backend arrays (Ceph, MinIO, OpenStack Swift) serving as primary or secondary storage tiers for cloud infrastructure providers and enterprise backup systems
• Machine learning training infrastructure supporting high-throughput training dataset ingestion for computer vision and NLP models across GPU/TPU clusters
• Media and entertainment content delivery backends serving video transcoding pipelines, digital asset management repositories, and near-line archival for broadcast and streaming platforms
• Scientific research data repositories and institutional storage for universities operating multi-petabyte research data commons supporting multi-disciplinary access patterns

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.