Intel Sapphire Rapids architecture
GPTKB entity
Statements (70)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:microprocessor
|
gptkbp:competes_with |
AMD EPYC Genoa
|
gptkbp:designed_by |
gptkb:Intel_Corporation
|
gptkbp:features |
improved security features
improved system performance advanced power management features hardware-based security enhancements advanced debugging capabilities enhanced networking capabilities CXL 1.1 support enhanced reliability, availability, and serviceability (RAS) features advanced virtualization support improved I/ O capabilities integrated AI accelerators |
https://www.w3.org/2000/01/rdf-schema#label |
Intel Sapphire Rapids architecture
|
gptkbp:includes |
up to 56 cores per socket
Sapphire Rapids-SP Sapphire Rapids-AP Sapphire Rapids-Analytics for analytics tasks Sapphire Rapids-Cloud for cloud services Sapphire Rapids-EP for enterprise performance Sapphire Rapids-HPC for high-performance computing Sapphire Rapids-ML for machine learning Sapphire Rapids-Server for server applications Sapphire Rapids-Storage for storage solutions Sapphire Rapids-WS for workstations Sapphire Rapids-Compute for compute-intensive tasks |
gptkbp:manufacturer |
Intel 10nm process technology
|
gptkbp:provides |
enhanced user experience
enhanced AI capabilities flexible deployment options improved system reliability enhanced operational efficiency improved performance per watt enhanced thermal management improved scalability enhanced data processing capabilities advanced memory bandwidth high bandwidth memory (HBM) support improved workload optimization |
gptkbp:release_date |
gptkb:2022
|
gptkbp:successor |
Intel Ice Lake architecture
|
gptkbp:supports |
gptkb:Intel_Optane_technology
gptkb:Intel_Speed_Select_Technology gptkb:PCIe_5.0 gptkb:protocol machine learning workloads multi-cloud environments real-time data processing large-scale deployments DDR5 memory cloud computing environments containerized applications data-intensive applications high-speed data transfer virtualization technologies high-throughput applications Intel Turbo Boost Technology high-performance storage solutions data analytics workloads edge computing applications high-density server configurations AI inference workloads 5 G networking capabilities AI training workloads high-performance computing (HPC) workloads |
gptkbp:target_market |
data centers
|
gptkbp:utilizes |
multi-chip module (MCM) design
|
gptkbp:bfsParent |
gptkb:Intel_FMA
|
gptkbp:bfsLayer |
7
|