Lenovo 4XG7A07215 processor 2.1 GHz 11 MB L3

Lenovo 4XG7A07215. Processor family: Intel Xeon Silver, Processor socket: LGA 3647 (Socket P), Processor lithography: 14 nm. Memory channels: Hexa-channel, Maximum internal memory supported by processor: 768 GB, Memory types supported by processor: DDR4-SDRAM. Supported instruction sets: AVX,AVX 2.0,AVX-512,SSE4.2. Processor package size: 76 x 56.5 mm
Manufacturer: Lenovo
SKU: 4964449
Manufacturer part number: 4XG7A07215
GTIN: 0889488435142
Ship to
*
*
Shipping Method
Name
Estimated Delivery
Price
No shipping options
Intel® AES New Instructions (Intel® AES-NI) are a set of instructions that enable fast and secure data encryption and decryption. AES-NI are valuable for a wide range of cryptographic applications, for example: applications that perform bulk encryption/decryption, authentication, random number generation, and authenticated encryption. Intel® Transactional Synchronization Extensions New Instructions (Intel® TSX-NI) are a set of instructions focused on multi-threaded performance scaling. This technology helps make parallel operations more efficient via improved control of locks in software. Intel® Hyper-Threading Technology (Intel® HT Technology) delivers two processing threads per physical core. Highly threaded applications can get more work done in parallel, completing tasks sooner.
Intel® AES New Instructions (Intel® AES-NI) are a set of instructions that enable fast and secure data encryption and decryption. AES-NI are valuable for a wide range of cryptographic applications, for example: applications that perform bulk encryption/decryption, authentication, random number generation, and authenticated encryption. Intel® Transactional Synchronization Extensions New Instructions (Intel® TSX-NI) are a set of instructions focused on multi-threaded performance scaling. This technology helps make parallel operations more efficient via improved control of locks in software. Intel® Hyper-Threading Technology (Intel® HT Technology) delivers two processing threads per physical core. Highly threaded applications can get more work done in parallel, completing tasks sooner.
*
*
*