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100-000000921 AMD EPYC 9654 96-Core 2.40GHz Processor
SKU:
100-000000921
Weight: 3.00 lbs
Condition: Refurbished
- 96 cores with 192 threads for massive parallel processing
- Base clock speed of 2.40 GHz, boosting up to higher frequencies
- Designed on advanced AMD EPYC architecture for data centers
- Supports high memory bandwidth and PCIe 5.0 connectivity
In stock
$2,817.50
| Product Overview |
|---|
The AMD EPYC 9654 processor delivers high core density and solid clock speeds, placing it squarely in server environments where many threads must run simultaneously. It fits well in modern data centers that need a scalable, reliable CPU capable of handling diverse and heavy computational loads. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 100-000000921 |
| Technical Information | |
|---|---|
| Total Threads | 192 |
| Max Turbo Frequency | 3.70 GHz |
| Base Clock Speed | 2.40 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 (RDIMM/LRDIMM/UDIMM, ECC) |
| Max Memory Channels | 12 |
| Bandwidth | Up to 460.8 GB/s (DDR5-4800) · Up to 499.2 GB/s (DDR5-5200) |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The AMD EPYC 9654 is a high-performance server processor built for demanding workloads that require extensive parallelism. It commonly finds use in data centers, cloud environments, and high-performance computing clusters where processing power and scalability are key. Often employed by enterprises, service providers, and researchers, this CPU offers a balance of core count and efficient clock speeds to handle virtualization, large databases, and analytics tasks effectively. Key Features
This processor is typically deployed in rack servers and cloud infrastructure, powering workloads that range from virtualization to AI training. Its balance of cores, memory speed, and I/O make it a versatile choice for organizations scaling up their compute resources without sacrificing stability. |
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