Lenovo 4XG7A63280 SR630 Xeon Gold 6248R

Lenovo 4XG7A63280 Intel Xeon Gold 6248R Processor for ThinkSystem SR630

Overview

The Lenovo 4XG7A63280 is a 2nd Generation Intel Xeon Gold 6248R processor designed as a component upgrade for the ThinkSystem SR630 server platform. Built on Intel's 14nm Cascade Lake architecture, this 24-core, 48-thread CPU targets compute-dense workloads where single-socket performance or dual-socket density matters — video analytics servers, surveillance recording infrastructure, and enterprise edge compute nodes among them. With a 3 GHz base clock and a 4 GHz boost frequency across 24 cores, it delivers meaningful headroom for multi-stream video decoding, AI-assisted analytics, and VMS platform processing without requiring a full server replacement.

Key Features

• 24 Cores / 48 Threads (Cascade Lake, 14nm): The 6248R's 24-core layout handles heavily parallelized workloads — decoding dozens of simultaneous camera streams or running concurrent analytics pipelines without the per-core bottlenecks that plague lower-count SKUs. 48 logical threads via Hyper-Threading keep the scheduler fed under mixed I/O and compute loads.
• 3 GHz Base / 4 GHz Boost: The 1 GHz spread between base and Turbo Boost frequencies gives you sustained throughput at load while allowing burst-mode processing for latency-sensitive tasks like real-time video analytics triggers or access control event correlation. Single-threaded workloads that can't be parallelized still hit 4 GHz ceiling.
• 35.75 MB L3 Cache: A large on-die cache reduces memory latency for datasets that fit within it — relevant for in-memory analytics models and frequently accessed frame buffers. Less cache pressure translates to more consistent frame processing times under load spikes.
• 1 TB Maximum Memory Support: Supporting up to 1 TB of RAM per socket, this processor can accommodate large in-memory analytics workloads, extensive VMS databases, or multi-tenant virtualization stacks without hitting memory ceiling constraints. That's the difference between 16 channels of AI analytics and 160.
• LGA 3647 (Socket P), UPI Interconnect: Socket P with dual UPI links (2x UPI) enables coherent multi-socket configurations in supported SR630 dual-socket builds. Inter-socket memory and cache coherency runs over UPI rather than QPI's older electrical layer, reducing inter-processor latency in NUMA-aware applications.
• 205W TDP: At 205W thermal design power, this processor sits at the higher end of the Xeon Gold power envelope. Confirm your SR630 chassis cooling configuration and power supply headroom before deployment — this is not a low-power SKU and will require adequate airflow management in dense rack environments.
• 64-Bit Operating Mode: Full 64-bit instruction support is table stakes for any modern server workload, but worth confirming for legacy mixed-mode environments. All current VMS platforms, analytics engines, and hypervisors operate natively in 64-bit mode.

Integration and Compatibility

The 4XG7A63280 is a factory-configured processor option for the Lenovo ThinkSystem SR630 server platform. It is designed for installation into SR630 systems via the LGA 3647 Socket P socket. Compatibility with other server platforms using Socket P should be verified against those platforms' supported processor lists — socket compatibility alone does not guarantee BIOS or firmware support. No cooler is included with this processor; ensure the SR630's bundled or separately sourced heatsink assembly is rated for 205W TDP. Memory configuration up to 1 TB is supported, but actual achievable capacity depends on the SR630 motherboard's DIMM slot count and the memory modules selected. For Lenovo server components and upgrade planning, verify the SR630 firmware version supports the 6248R before procurement.

This processor is positioned within Lenovo's server and server component line for data center and edge deployments. For organizations building out network video recorder infrastructure or AI-driven surveillance analytics servers, the 6248R's core count and memory ceiling make it a viable compute substrate. Pair with appropriate network switching infrastructure to keep camera data flowing at line rate to the analytics layer.

Frequently Asked Questions

Q: Is the Lenovo 4XG7A63280 a drop-in upgrade for the ThinkSystem SR630?

A: The 4XG7A63280 is designed for the SR630 platform and uses the LGA 3647 (Socket P) socket. Before installation, verify that your SR630's current BIOS/firmware revision supports the Xeon Gold 6248R, as processor support can depend on firmware version.

Q: Does the 4XG7A63280 include a heatsink or cooler?

A: No. A cooler is not included with this processor. You will need to ensure the SR630 chassis has an appropriate heatsink assembly rated for the 6248R's 205W TDP.

Q: What is the maximum RAM supported by the Xeon Gold 6248R?

A: The processor supports up to 1 TB of internal memory per socket. Actual achievable capacity in an SR630 depends on the platform's DIMM slot configuration and the memory modules installed.

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

A: The Xeon Gold 6248R provides 24 physical cores and 48 threads via Intel Hyper-Threading Technology. Base clock is 3 GHz with a Turbo Boost frequency up to 4 GHz.

Q: What is the TDP of the 4XG7A63280 and why does it matter for server deployment?

A: The 6248R has a 205W Thermal Design Power rating. This directly impacts cooling requirements and per-slot power budget in your server chassis. Confirm your SR630 power supply configuration and rack PDU capacity can accommodate the full draw before installation.

Q: Can the 4XG7A63280 be used in dual-socket SR630 configurations?

A: The processor supports dual UPI links (2x UPI), which enables coherent dual-socket configurations on platforms that support it. Verify the specific SR630 model's dual-socket capability and that both processors are the same SKU.

Ted Perry

When I look at the 4XG7A63280 for surveillance infrastructure specifically, the 24-core / 48-thread layout at a 3 GHz base is the spec that matters most — modern AI video analytics platforms like Milestone Arcules or Nx Witness scale their stream licensing in direct proportion to available compute threads, and a processor with this thread count can realistically handle 60–100 concurrent AI-analyzed streams on a single socket before hitting CPU saturation, depending on codec and analytics complexity.

Technical Highlights:

• 24 Cores / 4 GHz Boost: Burst processing at 4 GHz means latency-sensitive tasks — real-time object detection triggers, access control event correlation — don't queue behind sustained background decoding workloads. The 1 GHz headroom above base is meaningful headroom, not a rounding footnote.
• 1 TB Max Memory: At 1 TB memory ceiling, you can run large in-memory analytics models alongside your VMS recording database without swapping. In practice this means a single SR630 node can handle both the recording and the analytics tier rather than requiring a split architecture.
• Dual UPI Links: Two UPI links for inter-socket coherency means dual-socket SR630 builds won't create a NUMA bottleneck at the interconnect. For VMS workloads that stripe work across both sockets, coherent memory access keeps frame processing latency consistent across cores.

Deployment Considerations:

• At 205W TDP, plan your SR630 rack power budget carefully — two of these in a dual-socket build draws over 400W at processor-only TDP before accounting for NVMe storage, RAM, and networking. A 750W or 1100W redundant PSU configuration in the SR630 is the right call here.
• No cooler is included. The SR630 platform ships with specific heatsink SKUs matched to TDP ranges — confirm you have the high-performance heatsink assembly appropriate for a 205W processor, not the standard heatsink that ships with lower-TDP configurations.

This processor makes the most sense in a dedicated surveillance analytics server build where you're consolidating VMS recording, deep learning analytics, and edge AI inference onto a single SR630 node — the kind of deployment where a 12-core alternative would require two chassis to hit the same thread count and memory headroom.