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| Product Overview |
|---|
The Intel Xeon Platinum 8480+ is a high-core-count server processor designed to deliver substantial compute performance for enterprise-grade workloads. It integrates a significant cache size and power envelope to maintain efficiency in data-intensive tasks, fitting well into data center servers and high-throughput computing clusters. |
| General Information | |
|---|---|
| Brand | Intel |
| Part Number | Platinum 8480+ |
| Technical Information | |
|---|---|
| Processor Family | Xeon Platinum |
| Total Threads | 112 |
| Max Turbo Frequency | 3.70 GHz |
| Base Clock Speed | 2.00 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 10 nm |
| Socket Type | LGA 4677 |
| Cache | 105 MB |
| Thermal Design Power | 350 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 8 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Compliance Standards | RoHS, cURus, CE, FCC, UL, TUV |
| Product Description |
|---|
The Intel Xeon Platinum 8480+ processor is built for demanding computing environments that require massive parallel processing power. Often found in data centers and enterprise servers, it handles complex applications including virtualization, analytics, and large-scale databases. This processor is commonly used in systems where reliability and sustained performance are critical, benefiting IT professionals managing cloud infrastructure or high-performance computing clusters. Key Features
This processor is typically deployed in enterprise-grade servers powering cloud services, large databases, and demanding computational workloads. Its role is essential where sustained multi-core performance and efficiency impact day-to-day operations. |
| Use Cases |
|---|
The Intel Xeon Platinum 8480+ processor is ideal for environments where large-scale processing and data throughput are essential. How It's Used:
This processor enables organizations to accelerate their critical workloads and scale their computing infrastructure efficiently. |