A-U50-P00G-PQ-G
Categories: Alveo HBM
The AMD Alveo™ U50 Data Center accelerator cards provide optimized acceleration for workloads in financial computing, machine learning, computational storage, and data search and analytics. Built on AMD UltraScale+ architecture and packaged up in an efficient 75-watt, small form factor, and armed with 100 Gbps networking I/O, PCIe Gen4, and HBM, Alveo U50 is designed for deployment in any server.
Built for Performance & Efficiency
- Faster application performance with 8GB HBM memory and PCIe Gen4 interconnect
- Low latency network capability through 100G networking with support for 4x 10GbE, 4x 25GbE, or 1x 40GbE or 1x 100GbE
Adaptable – Accelerate Any Workload
- Accelerates compute, network, storage workloads
- Maximized application performance as workloads and algorithms evolve through reconfigurable fabric – unlike fixed-architecture alternatives
Accessible – Cloud <-> On-Premises Mobility
- Built for scale out architectures for deployment solutions on the cloud or on-premises interchangeably
| Board Specifications | Alveo U50 Accelerator Cards | |
| U50 (Production) A-U50-P00G-PQ-G | U50LV (Production) A-U50-P00G-LV-G |
|
| Compute Resources | ||
| Look-up Tables (LUTs) | 872K | 872K |
| Registers | 1,743K | 1,743K |
| DSP Slices | 5,952 | 5,952 |
| Dimensions | ||
| Height | ½ Height | ½ Height |
| Length | ½ Length | ½ Length |
| Width | Single Slot | Single Slot |
| Memory | ||
| HBM Memory Capacity | 8 GB | 8 GB |
| HBM Total Bandwidth | 316 GB/s1 | 316 GB/s1 |
| Internal SRAM Capacity | 28 MB | 28 MB |
| Internal SRAM Total Bandwidth | 24 TB/s | 19 TB/s |
| Physical Interfaces | ||
| PCI Express | Gen3x 16, 2 x Gen4x 8, CCIX | Gen3x 162 |
| Network Interfaces | 1x QSFP28 (100GbE) | 1x QSFP28 (100GbE) |
| Clock Precision | IEEE 1588 | IEEE 1588 |
| Tool Support | ||
| Vitis Developer Environment | Yes | Yes |
| Vitis Platform | Gen3x16 XDMA, Gen3x4 XDMA3 | Gen3x4 XDMA4 |
| Vivado Design Suite | Yes | Yes |
| Power and Thermal | ||
| Maximum Total Power | 75W | 75W |
| Thermal Cooling | Passive | Passive |
| Target Workloads | Fintech, Video, Database & Computational Storage | Machine Learning(ML) Inference |
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