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Cisco

Cisco HCIX-CPU-I8581V | CPU | 60-core, 1.8GHz base, 300MB cache, 270W TDP, DDR5-4800

SKU:HCIX-CPU-I8581V

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Description

Power-efficient high-core server CPU module offering 60 cores at a 1.8GHz base frequency and a 300MB cache. Ideal for scale-out virtualization, microservices, and analytics where core density and efficiency matter. DDR5-4800 support delivers strong memory bandwidth. Verify platform and BIOS support prior to deployment.

Features

- 60 cores for dense, parallel compute
- 1.8GHz base frequency tuned for efficient performance-per-watt
- 300MB cache to accelerate memory-heavy workloads
- DDR5-4800 support for modern memory bandwidth
- 270W TDP for power-conscious deployments
- Reliable foundation for virtualization and container stacks

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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FAQs

Technical Specifications

FAQs

Q: Is this CPU optimized for power efficiency?
A: Yes—its 270W TDP and high core density balance performance and efficiency for scale-out workloads.

Q: What should I check before installing?
A: Confirm socket compatibility, required BIOS/firmware, cooling capacity, and memory population rules.

Q: Does it support DDR5 RDIMM/LRDIMM?
A: Use server-qualified DDR5 modules as specified by your platform’s memory QVL and guidelines.

Q: Can I mix this with higher-frequency models?
A: For dual/multi-socket systems, use identical CPU models for supported operation.

Q: Is it suitable for virtualization hosts?
A: Yes—its 60 cores and large cache are well-suited to dense virtualization and container platforms.

Technical Specifications

- Core count: 60
- Base frequency: 1.8 GHz
- Cache: 300 MB
- TDP: 270 W
- Memory type: DDR5
- Supported memory speed: up to 4800 MT/s
- Intended use: Enterprise server CPU module
- Note: Platform, DIMM type, and population affect realized memory speed

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