Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Graphics_Processing_Unit
|
| gptkbp:architecturalStyle |
heterogeneous architecture
|
| gptkbp:competesWith |
gptkb:Intel_FPGAs
Altera FPGAs NVIDIA SoCs |
| gptkbp:developedBy |
Xilinx
|
| gptkbp:features |
high-speed connectivity
programmable logic DSP_slices integrated_AI_engines |
| gptkbp:hasPerformance |
energy efficiency
real-time processing capabilities up to 8x performance improvement |
| gptkbp:hasRelatedPatent |
healthcare
IoT robotics smart cities AI_and_ML |
| https://www.w3.org/2000/01/rdf-schema#label |
Versal ACAP
|
| gptkbp:includes |
AI inference engines
RISC-V processors analog mixed-signal capabilities |
| gptkbp:isAttendedBy |
leading tech companies
|
| gptkbp:isAvailableIn |
various configurations
|
| gptkbp:isCompatibleWith |
Vitis software platform
Vivado Design Suite |
| gptkbp:isConsidered |
next-generation FPGA technology
|
| gptkbp:isDocumentedIn |
Xilinx documentation
|
| gptkbp:isEvaluatedBy |
industry analysts
|
| gptkbp:isFundedBy |
Xilinx
|
| gptkbp:isOptimizedFor |
low latency
high throughput |
| gptkbp:isPartOf |
Xilinx's_adaptive_computing_strategy
Xilinx_product_line |
| gptkbp:isPromotedBy |
Xilinx_marketing
|
| gptkbp:isSupportedBy |
Xilinx community
|
| gptkbp:isTargetedAt |
data scientists
developers system architects |
| gptkbp:isTrainedIn |
various environments
|
| gptkbp:isUsedIn |
cloud computing
edge computing |
| gptkbp:provides |
flexibility
high performance scalability |
| gptkbp:releasedIn |
2020
|
| gptkbp:supports |
machine learning workloads
video processing signal processing |
| gptkbp:usedIn |
5G networks
automotive applications data centers industrial automation |