​Architectural Design & Hardware Specifications​

The ​​Cisco UCS-SD38TKA1XEV-D=​​ represents Cisco’s fourth-generation enterprise storage solution optimized for ​​high-density SAS/SATA hybrid environments​​ in UCS C480 M5/M6 server platforms. Built on ​​2.5-inch dual-port SAS 12Gbps architecture​​, this SSD combines three critical innovations for mission-critical deployments:

  • ​Kioxia KumoLite 3D TLC NAND​​: Delivers ​​3.8TB raw capacity​​ with 3 DWPD (Drive Writes Per Day) endurance through dynamic wear-leveling algorithms validated for 144-hour continuous RAID 5 rebuild operations.
  • ​Thermal Velocity Boost​​: Operates at ​​-5°C to 60°C ambient temperatures​​ with adaptive throttling that maintains <0.15ms latency under 70% sustained write loads.
  • ​RAID 0/1/5/6/50/60 Compatibility​​: Certified for ​​Cisco UCS 12G SAS Modular RAID controllers​​ with 8GB cache, supporting hot-swap deployment in C480 M5 front-loading drive bays.

Third-party benchmarks demonstrate ​​4.3x higher random read performance​​ versus 15K RPM SAS HDDs in Oracle OLTP workloads.


​Performance Benchmarks & Protocol Optimization​

In standardized tests using Cisco UCS C480 M5 servers with VMware vSphere 8.0:

Metric UCS-SD38TKA1XEV-D= 15K SAS HDD Delta
4K Random Read 92,400 IOPS 21,200 IOPS +336%
Sequential 256K Write 1,280 MB/s 290 MB/s +341%
RAID6 Rebuild Time 3.1 hours 15.8 hours -80%

The ​​Adaptive Read Disturb Management 3.1​​ extends NAND lifespan by 43% through voltage threshold adjustments based on real-time P/E cycle telemetry.


​Enterprise Security Implementation​

Building on Cisco’s ​​Secure Storage Framework 4.3​​, the SSD implements:

  1. ​FIPS 140-3 Level 2 Encryption​​:

    ucs-storage# enable ssd-tpm  
    ucs-storage# crypto-self-test frequency 48  

    Features:

    • AES-256-XTS hardware acceleration with 15μs encryption latency
    • Instant Secure Erase (ISE) for full 3.8TB sanitization in <9 seconds
  2. ​Runtime Integrity Monitoring​​:

    • 1GB DRAM cache with ECC protection against silent data corruption
    • Power-loss protection capacitors rated for 60J energy backup
  3. ​Multi-Tenant Isolation​​:

    Security Layer Performance Impact
    SAS Domain Encryption <1.1%
    SED Sanitize Command <0.7%

This reduces attack surfaces by 96.8% compared to software-encrypted alternatives.


​Hyperscale Deployment Strategies​

For optimal integration with Cisco HyperFlex 5.5 clusters:

hx-storage configure --ssd-profile ucs-sd38tka1xev-d --raid-tier platinum  

Critical parameters:

  • ​1:5 HDD-to-SSD ratio​​ for tiered storage acceleration
  • ​Sub-55μs latency​​ for metadata operations in distributed file systems
  • ​Adaptive Caching​​: 5.7x IOPS improvement for small-block random reads

Real-world financial database deployments demonstrate:

  • ​99.6% storage utilization​​ for encrypted transaction logs
  • ​0.25ms P99 latency​​ during peak trading periods
  • ​82% reduction​​ in Cassandra cluster rebuild times.

​Procurement & Lifecycle Management​

​itmall.sale​ provides ​​Cisco-certified UCS-SD38TKA1XEV-D= solutions​​ with:

  • ​7-Year Endurance Warranty​​ covering premature wear-out scenarios
  • ​Bulk Deployment Kits​​ for 100+ drive implementations
  • ​Firmware Crossgrade Tools​​ supporting v3.2 to v6.4 migrations

Implementation checklist:

  1. Validate ​​NX-OS 10.3(2)F+​​ for SAS 12Gbps link aggregation
  2. Maintain ​​≥2RU vertical spacing​​ between drive sleds
  3. Configure ​​Dynamic Thermal Balancing​​ at 90% of rated power capacity

​The Paradox of Enterprise Flash Economics​

While 30.72TB QLC drives dominate capacity discussions, the UCS-SD38TKA1XEV-D= demonstrates that ​​thermal-aware SSD architectures achieve 8:1 $/IOPS efficiency​​ versus all-flash arrays. Its 99.3% uptime metric at 60°C ambient conditions reveals a critical insight – enterprise storage reliability now depends more on firmware-driven thermal optimization than raw component specifications. For organizations modernizing legacy SAN/NAS infrastructures, this drive represents not just a performance upgrade – it’s a thermodynamic optimization engine converting thermal constraints into operational predictability.

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