AMD
AMD Alveo U50 Data Center Accelerator Card
The AMD Alveo U50 Data Center Accelerator Card is engineered to deliver optimized acceleration for demanding workloads such as financial computing, machine learning, compute storage, and data search and analytics. Built on the UltraScale+ architecture, it features a compact form factor with a power-efficient 75W rating, 100 Gbps network I/O, PCIe Gen4, and HBM memory. This card is designed for seamless deployment in any server environment, offering adaptability to evolving acceleration needs and algorithmic standards without hardware changes, thereby reducing total cost of ownership.
$2965.00
Owner Satisfaction
4.3
/ 5
Category Rank
81
/ 104
#81 in Server GPU
Price vs Category Average
-40%
Below average
Chipset
UltraScale+
/ UltraScale+
Who it's for
- Unmatched Adaptability
- Optimized Efficiency
- Tailored Performance
Who should skip it
- Steep Learning Curve
- Development Overhead
- Niche Ecosystem
Key Specs
Chipset
UltraScale+
Power Consumption
75W
HBM Memory Capacity
8 GB
HBM Total Bandwidth
316 GB/s
Internal SRAM Capacity
28 MB
Internal SRAM Total Bandwidth
24 TB/s
Network Interface
1x QSFP28 (100GbE)
Clock Accuracy
IEEE 1588
Features
- Optimized acceleration for financial computing, machine learning, compute storage, and data search and analytics.
- Compact, power-efficient 75W design for versatile server deployment.
- High-speed 100 Gbps network I/O and HBM memory for enhanced performance.
- Adaptable architecture allows acceleration of any workload without hardware changes.
- Reduces total cost of ownership through hardware reconfigurability.
- Backed by an ecosystem of AMD and partner applications for common data center workloads.
- Vitis development environment and AI solutions enable differentiated application development.
What customers say
Customers generally appreciate the AMD Alveo U50 for its robust performance in accelerating data center workloads. Many highlight its consistent reliability, noting stable operation even under demanding conditions. Users find the card a valuable asset for specific computational tasks, praising its efficiency and the tangible benefits it brings to their infrastructure. The overall sentiment reflects satisfaction with its specialized capabilities and dependable operation, making it a solid choice for targeted acceleration needs.
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