Lenovo 4XG7A63075 SD530 Xeon Gold 6248R

Lenovo 4XG7A63075 Xeon Gold 6248R Processor for ThinkSystem SD530

Overview

The Lenovo 4XG7A63075 is a factory-configured Intel Xeon Gold 6248R processor option for the ThinkSystem SD530 high-density server. Built on Intel's 2nd Generation Xeon Scalable (Cascade Lake) architecture, the 6248R delivers 24 physical cores and 48 threads at a 3 GHz base clock, with a 4 GHz single-core boost — a practical spec combination for workloads that need sustained parallel throughput without sacrificing single-threaded responsiveness. If you're evaluating processor upgrades or configuring an SD530 for compute-dense environments, the 4XG7A63075 covers workloads from video analytics inference to enterprise virtualization.

This is a Lenovo-qualified processor option, meaning it's sourced and validated for direct integration into the SD530 chassis. That matters in dense deployments where an unqualified part can introduce firmware compatibility gaps that only surface under load.

Key Features

• 24 Cores / 48 Threads (Cascade Lake): Intel's 14nm Cascade Lake microarchitecture gives the 6248R 24 physical cores with Hyper-Threading enabled — 48 logical processors visible to the OS. In practice, that means a single socket can handle 48 concurrent threads, making this a workable option for virtualized environments running dozens of lightweight VMs or for parallel analytics pipelines processing multiple camera streams simultaneously.
• 3 GHz Base / 4 GHz Boost: The 3 GHz base keeps all 24 cores consistently fed under sustained load — important for batch processing and always-on inference workloads that can't tolerate clock throttling. The 4 GHz Turbo Boost ceiling handles bursty single-threaded tasks (license-plate recognition, event-triggered encoding) without requiring a separate high-clock part.
• 35.75 MB L3 Cache: A 35.75 MB last-level cache at this core count — roughly 1.5 MB per core — reduces main memory round-trips for working sets that fit in cache. For surveillance analytics processing repeated reference frames or running local model inference, this cache depth can meaningfully reduce DRAM bandwidth pressure on the memory subsystem.
• Hexa-Channel DDR4-2933 Support (Up to 1 TB): Six memory channels running DDR4-2933 MHz deliver substantial aggregate bandwidth. The SD530's memory subsystem can be populated up to 1 TB per socket, giving this processor room to support memory-hungry workloads — large VM footprints, in-memory databases, or analytics engines that cache large model weights — without hitting a memory ceiling prematurely.
• 205W TDP: The 205W thermal design power is on the higher end for the Gold family. The SD530 is engineered to handle it, but if you're planning a high-density rack with multiple SD530 nodes, factor this into your power budget per-U. A 42U rack fully populated with 205W nodes will stress under-specced PDUs and cooling infrastructure — plan accordingly.
• LGA 3647 (Socket P) — 2nd Gen Xeon Scalable: The LGA 3647 socket is the standard for 2nd Gen Intel Xeon Scalable. This means the 4XG7A63075 is compatible with the SD530's existing socket infrastructure and benefits from the Cascade Lake platform's support for Intel Deep Learning Boost (VNNI instruction set), which accelerates INT8 inference workloads — relevant if you're running on-server video analytics or AI-accelerated event detection.
• 64-Bit Operating Mode: Full 64-bit support is standard, but worth confirming for any legacy workload migration. No 32-bit OS limitation to work around when provisioning modern hypervisors or container platforms.

Integration and Compatibility

The 4XG7A63075 is designed specifically for the Lenovo ThinkSystem SD530 server platform. The SD530 is a 0.5U dense compute node typically deployed in the D2 Enclosure, making it a common choice for high-density HPC and enterprise compute racks. If you're integrating this processor into an existing Lenovo server infrastructure, verify your SD530 firmware and board revision support the 6248R — Cascade Lake processors require UEFI firmware updates on earlier Skylake-generation SD530 deployments.

For security and surveillance infrastructure, the SD530 with this processor pairs well with network video recorders and centralized VMS deployments where the server handles analytics offload, transcoding, or multi-stream processing. The Intel VNNI instruction set support on Cascade Lake is directly relevant if your VMS or analytics platform leverages INT8 deep learning inference natively. Pair with appropriate IP camera infrastructure feeding the analytics pipeline.

If you're evaluating power and rack design for a dense deployment, reference a PoE switch planning guide for the camera-side network layer and verify your rack PDU capacity against the 205W TDP before finalizing node count. For overall server and compute infrastructure guidance, a server and storage selection resource can help scope the full stack.

Frequently Asked Questions

Q: What server platform is the Lenovo 4XG7A63075 designed for?

A: The 4XG7A63075 is a Lenovo-qualified processor option for the ThinkSystem SD530 server. It is not a standalone retail CPU — it is sourced and validated specifically for integration into the SD530 chassis.

Q: How many cores and threads does the Xeon Gold 6248R provide?

A: The 6248R features 24 physical cores with Hyper-Threading enabled, presenting 48 logical processors to the operating system. Base clock is 3 GHz with a 4 GHz Turbo Boost ceiling.

Q: What is the maximum memory capacity supported by this processor?

A: The Xeon Gold 6248R supports up to 1 TB of DDR4-2933 MHz memory across six memory channels (hexa-channel configuration).

Q: What is the TDP of the 4XG7A63075 and what does that mean for rack planning?

A: The processor has a 205W Thermal Design Power rating. In a fully populated high-density rack with multiple SD530 nodes, this has a meaningful impact on per-rack power budget and cooling requirements — factor it into PDU capacity planning before finalizing node count.

Q: Is the Xeon Gold 6248R compatible with AI inference workloads?

A: Yes. As a 2nd Generation Intel Xeon Scalable (Cascade Lake) processor, the 6248R includes Intel Deep Learning Boost (VNNI), which accelerates INT8 inference operations. This is relevant for on-server video analytics, object detection, and AI-accelerated event processing workloads.

Q: Does this processor support the same socket as 1st Gen Xeon Scalable processors?

A: The 6248R uses the LGA 3647 (Socket P) — the same physical socket as 1st Gen Xeon Scalable (Skylake). However, a UEFI/firmware update on the SD530 is typically required to support Cascade Lake processors on boards originally shipped with Skylake firmware.

Eden Phillips

The 4XG7A63075 is worth a close look for anyone sizing an SD530 deployment around multi-stream video analytics or dense virtualization. The 24-core / 48-thread configuration at a sustained 3 GHz base is the spec that matters most here — not the 4 GHz boost — because real-world analytics pipelines and hypervisors run sustained, not bursty. If your workload is sustained-parallel, the 6248R holds up better than higher-clock, lower-core-count alternatives at similar price points.

Technical Highlights:

• 35.75 MB L3 Cache: At roughly 1.5 MB per core, this cache depth reduces DRAM pressure for working sets that fit — particularly relevant for inference pipelines caching model weights or VMS processes repeatedly accessing the same frame buffers.
• Hexa-Channel DDR4-2933: Six memory channels at 2933 MHz provide aggregate bandwidth that keeps pace with 24 active cores. Populate all six channels to avoid lopsided NUMA effects — half-populated configurations will see measurable bandwidth degradation under load.
• 205W TDP — Real Constraint: This isn't a mid-range TDP. At 205W per node, a chassis fully packed with SD530 blades will require verified PDU capacity and adequate airflow. Don't assume headroom; calculate it.

Deployment Considerations:

• The SD530's 0.5U form factor in the D2 Enclosure makes it attractive for dense compute racks, but the 205W TDP means thermal management at the enclosure level needs to be explicitly validated — not assumed from the chassis spec sheet alone.
• If the SD530 was originally commissioned with a Skylake (1st Gen Xeon Scalable) processor, a UEFI firmware update is required before the Cascade Lake 6248R will be recognized. Verify firmware revision before scheduling a maintenance window around the upgrade.

The strongest fit for this configuration is a centralized analytics server role in a mid-to-large physical security deployment — specifically where the SD530 is handling AI-accelerated inference from 20+ camera feeds and the memory headroom (up to 1 TB DDR4) is being used to run multiple analytics models in parallel without swapping. For that use case, the core count and VNNI support on the 6248R are the right levers to pull.