Description
The Cisco UCS C885A M8 CPU Sled (C885A-M8-CC-SLD20) is a high-performance compute module designed for Cisco UCS C885A M8 rack servers powering advanced AI, HPC, and data-intensive workloads. Built on a 5th Gen AMD EPYC 9575F processor, this CPU sled delivers exceptional core density, memory bandwidth, and throughput for modern accelerated computing environments.
Equipped with 96GB of DDR5-6400 memory, the sled supports ultra-fast data access and low-latency performance, ideal for AI orchestration, large-scale inferencing, and parallel processing. Integrated Pollara CX-7 connectivity ensures high-bandwidth, low-latency networking optimized for east-west traffic in GPU-dense clusters.
Purpose-built for scalability, reliability, and seamless integration into Cisco UCS architectures, this CPU sled is an ideal choice for organizations deploying next-generation AI infrastructure and performance-driven compute platforms.
| Specification | Details |
|---|---|
| Product Type | CPU Sled |
| Server Compatibility | Cisco UCS C885A M8 Rack Server |
| Processor | AMD EPYC 9575F (5th Gen) |
| CPU Architecture | AMD EPYC 9000 Series |
| Installed Memory | 96GB DDR5 |
| Memory Speed | DDR5-6400 MT/s |
| Networking | Pollara CX-7 |
| Use Case | AI, HPC, accelerated compute workloads |
| Form Factor | Modular CPU sled |
| SKU | C885A-M8-CC-SLD20 |
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Return Policy (Short Summary)
We offer a 30-day return window for most unopened, factory-sealed items.
Returns must be authorized before shipping back and must include all original packaging and accessories. Opened or used items are not returnable unless defective.
Some products—such as custom orders, special-order items, audio gear, software, and LED video walls—are non-returnable. Non-defective returns may be subject to a 20–30% restocking fee, and customers are responsible for return shipping costs.
For damaged or incorrect items, please contact us immediately.
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This product is rarely deployed alone. It’s typically part of a fully integrated AV system. AVENDOR designs, integrates, and supports end-to-end environments—from single rooms to enterprise-wide deployments.
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