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| Product Overview |
|---|
The Lenovo AMD EPYC Genoa 96-Core 2.15GHz processor delivers extensive core count and solid base frequency, making it well suited for enterprise servers and data centers that handle heavy multi-threaded workloads. It fits into systems designed for high scalability and demanding computational tasks without sacrificing efficiency. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | SSA7B74165 |
| Alternate Part Number | SSA7B74165-98-CT |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| Total Threads | 192 |
| Max Turbo Frequency | 3.70 GHz |
| Base Clock Speed | 2.15 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 384 MB L3 |
| Thermal Design Power | 360 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | Up to 460.8 GB/s (with DDR5-4800, 12-channel) |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Product Description |
|---|
The Lenovo AMD EPYC Genoa 96-Core processor is built for demanding server environments that require massive processing power. It’s commonly used in data centers handling complex simulations, cloud computing, and virtualization tasks where parallel processing is key. IT professionals and system architects who need to run heavy workloads benefit from the extensive core count and solid base frequency. Key Features
This processor is often found in enterprise servers powering high-demand applications like data analytics, machine learning, and virtualization platforms. Its robust design helps reduce bottlenecks and improves responsiveness in complex computing environments. |
| Use Cases |
|---|
The SSA7B74165 processor is suited for environments demanding significant computational resources and high reliability. How It's Used:
By implementing this processor, organizations can achieve improved processing efficiency and support complex, resource-intensive tasks across various IT infrastructures. |