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| Product Overview |
|---|
The Lenovo 7XG7A06221 Intel Xeon Platinum 8164 processor upgrade boosts server capabilities through its 26-core design and fast 10.40GT/s UPI, delivering reliable multi-thread performance in ThinkSystem SD530 servers. It fits well in settings where consistent processing power and efficient cache handling are needed for complex workloads. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 7XG7A06221 |
| Alternate Part Number | 7XG7A06221-03-CT |
| Technical Information | |
|---|---|
| Processor Family | Xeon Platinum |
| # Of Cores | 26 Core |
| Total Threads | 52 |
| Max Turbo Frequency | 3.70 GHz |
| Base Clock Speed | 2.00 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 3647 |
| Cache | 35.75 MB |
| Thermal Design Power | 165 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 1 TB |
| Memory Types | DDR4-2666 |
| Max Memory Channels | 6 |
| Bandwidth | 128 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS |
| Product Description |
|---|
This Lenovo processor upgrade enhances computing power by delivering 26 cores and 52 threads, ideal for handling demanding workloads. It is built for ThinkSystem SD530 servers, commonly used in data centers for virtualization, database management, and large-scale analytics. Engineered for businesses requiring reliable multi-thread performance, this Intel Xeon Platinum chip supports high concurrency and efficient throughput. Key Features
Typically deployed in enterprise environments, this upgrade is seen powering virtual machines and large databases. It provides a balance of core count and speed that helps maintain smooth operation in multi-user applications. |
| Use Cases |
|---|
This processor upgrade is suited for environments requiring high processing power and reliability. How It's Used:
By integrating this upgrade, organizations can extend the capabilities of their server infrastructure to meet growing computational demands efficiently. |