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AMD 100-000000055 2.6GHz 256MB 280 with 64-Cores EPYC 7H12 Processor
The AMD EPYC 7H12 processor delivers enterprise class performance with 64 cores and 128 threads, built on a 7 nanometer architecture. With a base clock of 2.6 GHz and a massive 256 MB of L3 cache, this 280 watt chip is designed to handle the most dem... Read More
price
$939.95
- In Stock: 422
- Manufacturer: AMD
- Model or Part: 100-000000055
- Condition: Refurbished
- Weight: 3.00lb
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Item Condition
New - Sealed or Open Box ConditionExcellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item
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Overview
The AMD EPYC 7H12 processor delivers enterprise class performance with 64 cores and 128 threads, built on a 7 nanometer architecture. With a base clock of 2.6 GHz and a massive 256 MB of L3 cache, this 280 watt chip is designed to handle the most demanding workloads while maintaining efficiency and scalability. Ideal for data centers, high performance computing, and cloud environments, the 7H12 offers a compelling mix of raw compute power and advanced security features.
Key Features
- 64 Zen 3 cores and 128 simultaneous threads for massive parallel processing
- Base frequency 2.6 GHz with boost capabilities up to 3.3 GHz
- 256 MB of L3 cache to reduce latency and improve data throughput
- 280 W TDP optimized for high density server platforms
- Support for up to 4 TB of DDR4 memory across 8 memory channels
- Advanced security extensions including Secure Encrypted Virtualization and AMD Memory Guard
- PCIe 4.0 x16 lanes for high speed I/O and accelerator connectivity
Technical Specifications
- Model / Part Number: 100-000000055
- Architecture: AMD Zen 3
- Core Count: 64
- Thread Count: 128
- Base Clock: 2.6 GHz
- Boost Clock: up to 3.3 GHz
- L3 Cache: 256 MB
- Thermal Design Power: 280 W
- Supported Memory: DDR4-3200 up to 4 TB
- PCIe Generation: 4.0 with up to 128 lanes
- Socket: SP3
Typical Applications
- High performance computing clusters for scientific simulation and AI training
- Virtualization platforms delivering dense VM consolidation
- Database servers handling large transactional workloads
- Cloud infrastructure services requiring scalable compute resources
- Enterprise analytics and big data processing pipelines
- Network function virtualization and edge computing deployments