Properties (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
interconnect standard
|
| gptkbp:collaborations |
industry leaders
|
| gptkbp:compatibleWith |
PCIe 5.0
|
| gptkbp:developedBy |
gptkb:CXL_Consortium
|
| gptkbp:enables |
dynamic resource allocation
heterogeneous computing resource pooling |
| gptkbp:enhances |
CPU_and_memory_performance
|
| gptkbp:facilitates |
scalable architectures
|
| gptkbp:features |
enables efficient data movement.
|
| https://www.w3.org/2000/01/rdf-schema#label |
CXL 2.0
|
| gptkbp:improves |
system performance
data center efficiency |
| gptkbp:is_a |
gptkb:CXL_1.1
|
| gptkbp:is_a_key_component_of |
next-gen server architectures
|
| gptkbp:is_a_platform_for |
future memory architectures
|
| gptkbp:is_a_time_for |
memory_bottlenecks
|
| gptkbp:is_aimed_at |
software developers
data center operators system architects hardware developers |
| gptkbp:is_designed_to |
data-intensive applications
improve interoperability support diverse workloads simplify system design |
| gptkbp:is_expected_to |
enhance scalability
reduce costs drive innovation increase performance |
| gptkbp:is_part_of |
next-generation computing architecture
the_CXL_ecosystem |
| gptkbp:is_recognized_for |
CXL_Consortium_specifications
|
| gptkbp:is_supported_by |
software ecosystems
major hardware vendors |
| gptkbp:is_used_in |
cloud computing
machine learning data centers high-performance computing AI workloads |
| gptkbp:keyIssues |
future computing systems
|
| gptkbp:provides |
low-latency access
memory expansion |
| gptkbp:reduces |
latency
|
| gptkbp:releasedIn |
2022
|
| gptkbp:supports |
accelerator sharing
memory pooling multiple memory types chiplet_architectures |
| gptkbp:traditions |
interconnect technology
promotes open collaboration |
| gptkbp:updates |
bandwidth
|
| gptkbp:utilizes |
gptkb:CXL.mem
CXL.cache CXL.io |
| gptkbp:was_a_response_to |
growing data demands
|