Lenovo 7C57A02888 Cardpop NVIDIA Tesla P40 OPT BOM

Lenovo 7C57A02888 Cardpop NVIDIA Tesla P40 GPU Option

The Lenovo 7C57A02888 is a Cardpop GPU option board designed for Lenovo ThinkSystem server platforms, integrating the NVIDIA Tesla P40 compute accelerator. At 2.00 lb, this is a discrete add-in hardware option — procured as a bill-of-materials (BOM) component for configured server builds rather than as a standalone retail card. If you are expanding AI inference or deep-learning workloads on a supported ThinkSystem chassis, the 7C57A02888 is the correct Lenovo part number to specify at time of order or as a field upgrade.

Overview

The NVIDIA Tesla P40 is a Pascal-architecture compute card purpose-built for inference workloads — video analytics, image classification, and neural network inferencing at the edge or in the data center. Lenovo packages this accelerator as a Cardpop option (part number 7C57A02888) for qualified ThinkSystem nodes, ensuring the card ships as a genuine, factory-integrated component rather than a third-party add-in. Sourced through the Lenovo server and compute catalog, this option is matched to specific chassis configurations at the BOM level.

Key Considerations

• Cardpop BOM designation: The "OPT BOM" label means this part is ordered as a configuration option at build time or as a qualified field upgrade — verify your ThinkSystem chassis supports the Tesla P40 Cardpop slot before purchasing.
• Weight at 2.00 lb: Typical for a full-length, full-height GPU card with heatsink assembly. Plan rack weight budgets accordingly in dense multi-accelerator configurations.
• Country of origin — Mexico: Manufactured in Mexico (UNSPSC 43201401: graphics processing units), which is relevant for procurement teams with TAA or domestic-sourcing policy requirements. Confirm TAA compliance status directly with Lenovo for your specific contract vehicle before specifying.
• AI inference acceleration: The Tesla P40 targets inference rather than training — if your AI compute deployment involves real-time video analytics or security workload inferencing, the P40's architecture is matched to that use case. Training-heavy pipelines typically require a different GPU family.

Integration and Compatibility

The 7C57A02888 is a Lenovo-qualified option, meaning compatibility is tied to specific ThinkSystem server models. Consult the Lenovo ServerProven list or your server platform documentation to confirm slot availability, power delivery, and firmware support before ordering. Pairing this card with a correctly specified network infrastructure and adequate server cooling headroom is essential for sustained inference throughput.

Frequently Asked Questions

Q: What does "Cardpop OPT BOM" mean for the 7C57A02888?

A: It designates this GPU as a factory configure-to-order or field-upgrade bill-of-materials option for compatible Lenovo ThinkSystem servers — not a standalone retail GPU. It must be matched to a supported chassis.

Q: What GPU is included in the 7C57A02888?

A: The product name specifies the NVIDIA Tesla P40, a Pascal-architecture accelerator optimized for AI inference workloads.

Q: Is the 7C57A02888 TAA compliant?

A: The country of origin is listed as Mexico. TAA compliance status for specific contract vehicles should be confirmed directly with Lenovo, as it depends on the full manufacturing origin chain and contract terms.

Q: How much does the 7C57A02888 weigh?

A: 2.00 lb, per Lenovo distribution data. Account for this in rack and chassis weight budgeting when installing multiple GPU options.

Karl Wilson

The 7C57A02888 is a Lenovo-qualified NVIDIA Tesla P40 Cardpop option — and the "OPT BOM" designation is the first thing to get right before ordering. This part is tied to specific ThinkSystem chassis configurations; dropping it into an unsupported slot is a non-starter, and Lenovo's ServerProven list is the authoritative source for chassis compatibility.

Technical Highlights:

• NVIDIA Tesla P40 (inference-class GPU): The P40 is built for inference, not training — it fits deployments running real-time video analytics pipelines or neural network inferencing where throughput-per-watt matters more than raw FP16 training bandwidth.
• 2.00 lb component weight: Relevant for dense multi-accelerator chassis builds — if you are populating several GPU slots, aggregate weight against your rack's rated load before finalizing the BOM.
• Mexico country of origin (UNSPSC 43201401): For procurement teams operating under TAA-sensitive contract vehicles, verify compliance with Lenovo directly — country of origin alone does not confirm TAA status without the full supply chain attestation.

Deployment Considerations:

• Confirm slot type, power connector, and firmware version on the target ThinkSystem node against Lenovo's ServerProven compatibility matrix before specifying this BOM option — mismatched configurations are not returnable once factory-built.
• The Tesla P40 has no display output and no active cooling of its own in OEM Cardpop form — the host chassis thermal solution must be validated for sustained GPU TDP under inference load.

Best fit: ThinkSystem-based AI inferencing nodes in video surveillance analytics back-ends or edge inference racks where a Lenovo-qualified GPU option is required for warranty and support continuity.