Lenovo 4XG7A63422 SR630 V2 Silver 4316 20C 150W 2.3GHZ

Lenovo 4XG7A63422 Xeon Silver 4316 20-Core Processor for ThinkSystem SR630 V2

Overview

The Lenovo 4XG7A63422 is an Intel Xeon Silver 4316 processor option for the ThinkSystem SR630 V2 1U rack server — a 20-core, 40-thread Ice Lake chip clocked at 2.3 GHz base with a 3.4 GHz boost. At 150W TDP and built on Intel's 10nm process, it lands squarely in the mid-tier of the 3rd Generation Xeon Scalable family: more threads and cache than entry Silver SKUs, without the power and cost overhead of Gold or Platinum. For rack server deployments running mixed virtualization, VMS workloads, or analytics at the edge, this is a processor you configure for the long runway — not just today's channel count.

The SR630 V2 is a 1U two-socket platform. The 4XG7A63422 fills one of those sockets, and the architecture supports a second processor for workloads that need more parallelism. With 40 threads per socket and up to 6TB of addressable memory per processor, the platform can handle dense VM stacks, multi-channel network video recorders, and AI inference pipelines without hitting a memory ceiling prematurely.

Key Features

• 20 Cores / 40 Threads: Forty logical threads on a single socket let hypervisors like VMware ESXi or Microsoft Hyper-V slice workloads tightly without over-committing. In a VMS context, that translates to running 20–40 concurrent video analytics streams alongside recording duties on one physical host.
• 2.3 GHz Base / 3.4 GHz Boost: The 1.1 GHz boost headroom matters for bursty workloads — motion-triggered analytics or forensic search spikes — where sustained all-core throughput takes a back seat to peak single-thread response.
• 30MB L3 Cache: A 30MB last-level cache reduces memory bus pressure on workloads with high data locality — database queries, video indexing, and frame-buffer operations all benefit from keeping working sets in cache rather than hitting DRAM repeatedly.
• 150W TDP: At 150W, thermal planning is straightforward in the SR630 V2's managed cooling envelope. This is not a low-power SKU — rack power budgeting should account for full draw under sustained load, especially in dense 1U configurations.
• 10nm Ice Lake Architecture: Intel's Ice Lake generation adds AVX-512 VNNI instructions, which accelerate INT8 inference for AI workloads. If your VMS or analytics platform uses deep-learning-based detection (object classification, license plate recognition), the instruction set support matters at scale.
• 6TB Max Memory per Processor: The LGA 4189 platform supports up to 6TB addressable memory per processor socket — a ceiling that matters for in-memory database workloads or large-scale VMS environments where buffering video streams in RAM reduces I/O latency.
• 10.4 GT/s System Bus: The interconnect rate between processor, memory, and I/O is high enough to sustain high-throughput storage and network operations in parallel — relevant when the SR630 V2 is handling simultaneous write streams from multiple camera channels.
• 64-Bit Operating Mode: Full 64-bit support is a baseline requirement for any modern server OS and hypervisor stack. Confirmed here — no legacy 32-bit constraint.

Integration and Compatibility

The 4XG7A63422 is purpose-built for the Lenovo ThinkSystem SR630 V2 platform. Compatibility outside that chassis is not supported — this is not a retail-channel processor drop-in. The LGA 4189 socket and the SR630 V2's firmware ecosystem are tightly coupled; configuring this processor outside the Lenovo validated options list is not a supported path.

For network infrastructure supporting an SR630 V2 deployment, verify that upstream switching can sustain the aggregated bandwidth of all attached storage and network interfaces under load. The processor itself does not constrain network throughput, but the platform's PCIe lane allocation and NIC selection do.

Pairing this processor with a second 4XG7A63422 in the SR630 V2's second socket doubles core and thread count to 40C/80T — a configuration worth considering when VMS channel counts exceed 64 or when AI analytics pipelines run concurrently with recording and playback workloads.

Frequently Asked Questions

Q: Is the Lenovo 4XG7A63422 compatible with servers other than the ThinkSystem SR630 V2?

A: No. The 4XG7A63422 is validated specifically for the Lenovo ThinkSystem SR630 V2. The LGA 4189 socket is platform-specific and Lenovo's firmware validation ties processor options to the SR630 V2 chassis. Do not assume compatibility with other LGA 4189 systems without Lenovo validation.

Q: What is the base and boost clock speed of the Xeon Silver 4316?

A: The Intel Xeon Silver 4316 (4XG7A63422) runs at 2.3 GHz base with a turbo boost frequency of 3.4 GHz, providing 1.1 GHz of headroom for bursty single-thread workloads.

Q: How many cores and threads does the 4XG7A63422 provide?

A: The processor delivers 20 physical cores and 40 threads via Intel Hyper-Threading, on a single LGA 4189 socket.

Q: What is the maximum memory this processor can address?

A: The Intel Xeon Silver 4316 supports up to 6TB of memory per processor socket, giving the SR630 V2 significant headroom for memory-intensive workloads including large-scale VMS and in-memory databases.

Q: What is the TDP of the 4XG7A63422 and what does that mean for rack planning?

A: The Thermal Design Power is 150W. Budget for full draw under sustained load when planning rack PDU capacity and cooling — this is a mid-range power envelope for a 20-core Xeon, not a low-power or eco SKU.

Q: Does this processor support AI inference acceleration?

A: Yes. The Ice Lake (10nm) microarchitecture includes AVX-512 VNNI instructions, which accelerate integer-based deep learning inference (INT8). This is relevant for VMS platforms and analytics engines that use neural-network-based detection at the edge.

Marty Allison

The 4XG7A63422 is one of those processor options that integrators often overlook in favor of higher-clock Gold SKUs, but the 20-core / 40-thread count at 150W is a pragmatic fit for SR630 V2 deployments running mixed VMS and virtualization workloads. The 3.4 GHz boost ceiling on this chip handles the spiky nature of analytics processing without requiring the power overhead of a Gold 6300 series part.

Technical Highlights:

• 30MB L3 Cache: Large enough to keep video frame buffers and analytics model weights in cache during sustained operation — reduces DRAM round-trips measurably in multi-channel recording environments.
• 10.4 GT/s System Bus: Sustains parallel storage and network I/O without becoming the bottleneck when the SR630 V2 is handling simultaneous write streams from dozens of camera channels.
• AVX-512 VNNI (Ice Lake 10nm): Hardware-accelerated INT8 inference means AI-based analytics (object detection, LPR) run faster per watt than on Cascade Lake predecessors — worth quantifying if your VMS vendor publishes per-core analytics channel counts.

Deployment Considerations:

• This is a single-socket option — if the SR630 V2 will carry 64+ VMS channels or run concurrent analytics and recording at scale, price out a dual-socket configuration with a second 4XG7A63422 before committing to a single-processor BOM.
• At 150W TDP, confirm rack PDU headroom before deployment. A fully loaded SR630 V2 with dual processors, NVMe drives, and dual-port 25GbE NICs will draw well above 300W at sustained load — plan cooling and power distribution accordingly.

This processor is a strong fit for SR630 V2 nodes serving as dedicated VMS servers or edge AI inference hosts in mid-to-large physical security deployments where thread count and memory ceiling matter more than absolute single-core frequency.