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| Product Overview |
|---|
The Intel Xeon Gold 6346 is a 16-core server processor offering a solid combination of speed and cache size. It fits well into enterprise data centers and server builds that need dependable performance for multitasking and data-heavy applications, without excessive power consumption. |
| General Information | |
|---|---|
| Brand | Intel |
| Part Number | Gold 6346 |
| Technical Information | |
|---|---|
| Processor Family | Xeon Gold |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Base Clock Speed | 3.10 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 10 nm |
| Socket Type | LGA 4189 |
| Cache | 36 MB |
| Thermal Design Power | 165 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The Intel Xeon Gold 6346 is designed to handle demanding computing tasks with its 16-core configuration and high clock speed. Often found in data centers and enterprise servers, it supports complex workloads like virtualization, analytics, and large-scale databases. Engineered for IT professionals and organizations requiring reliable performance under heavy loads, this processor fits well within multi-processor setups and high-performance computing environments. Key Features
This processor is typically deployed in enterprise servers powering cloud infrastructure, virtualization platforms, and data analytics. It plays a key role in maintaining smooth operation of demanding applications and optimizing resource usage in busy data center environments. |
| Use Cases |
|---|
The Intel Xeon Gold 6346 processor is suited for environments requiring high processing power and reliability. How It's Used:
Its architecture supports scalable performance, making it ideal for organizations seeking to optimize their computational resources across various demanding applications. |