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Product Overview |
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The Intel Xeon Platinum 8176M is a powerful server processor designed for multi-core, multi-threaded workloads. It fits into high-end data center environments where processing large volumes of data quickly and efficiently is crucial for operations. |
General Information |
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| Brand | Intel |
| Part Number | CD8067303133605 |
Technical Information |
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| # Of Cores | 28 Core |
| Total Threads | 56 |
| Max Turbo Frequency | 3.80 GHz |
| Base Clock Speed | 2.10 GHz |
| Socket Type | LGA 3647 |
| Cache | 38.5 MB |
| Thermal Design Power | 165 W |
Memory Specifications |
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| Max Memory Size | 1 TB |
| Memory Types | DDR4-2666 |
| Max Memory Channels | 6 |
| Bandwidth | 140.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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The Intel Xeon Platinum 8176M is a high-end server processor built for demanding workloads that require substantial parallel processing power. It is often found in data centers and enterprise servers where running complex simulations, large databases, or virtualization tasks are common. Engineers, IT professionals, and businesses that need reliable, scalable performance typically rely on this processor to handle heavy computational loads efficiently. Its multi-core design allows it to manage multiple tasks without compromising speed. Key Features
This processor is commonly deployed in enterprise servers powering cloud services, big data analytics, and scientific computing environments. It provides a balance of raw power and efficiency, allowing businesses to run complex software smoothly and reliably. |
Use Cases |
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The Intel Xeon Platinum 8176M processor is primarily deployed in enterprise-grade data centers and high-performance computing clusters. It is ideal for organizations that require robust multi-threaded processing for complex workloads such as analytics, virtualization, and AI model training. How It's Used:
By delivering consistent high-core performance and efficient multi-threading capabilities, this processor enhances operational throughput and supports scalability in demanding computational environments. It enables IT teams to maintain performance under heavy workloads while optimizing resource allocation. |