ALVEO Series, Server Acceleration Cards

Results:
11
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Series
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INT8 TOPs
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ALVEO
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ImageProduct DetailPriceAvailabilityECAD ModelMemory SizeCooling TypeSeriesOperating TemperatureBandwidthLUTsINT8 TOPsInterfacePower (Watts)Weight
A-U200-A64G-PQ-G
BOARD DCAB SERVER U200 ACTIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
64GB
Fan
ALVEO
0°C ~ 45°C
77GB/s
892k
18.6
PCI Express
225W
-
A-U50-P00G-PQ-G
BOARD DCAB ALVEO U50 NET PASSIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
8GB
Heat Sink
ALVEO
0°C ~ 50°C
460GB/s
872k
16.2
-
75W
-
A-U250-P64G-PQ-G
BOARD DCAB SERVER U250 PASSIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
64GB
Heat Sink
ALVEO
0°C ~ 45°C
77GB/s
1341k
33.3
PCI Express
225W
-
A-U250-A64G-PQ-G
BOARD DCAB SERVER U250 ACTIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
64GB
Fan
ALVEO
0°C ~ 45°C
77GB/s
1341k
33.3
PCI Express
225W
-
A-U200-P64G-PQ-G
BOARD DCAB SERVER U200 PASSIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
64GB
Heat Sink
ALVEO
0°C ~ 45°C
77GB/s
892k
18.6
PCI Express
225W
-
A-U280-P32G-PQ-G
BOARD DCAB SERVER U280 PASSIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
16GB
Heat Sink
ALVEO
0°C ~ 45°C
-
-
-
PCI Express
225W
-
A-U280-A32G-DEV-G
BOARD DCAB SERVER U280 ACTIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
16GB
Fan + Heat Sink
ALVEO
0°C ~ 45°C
-
-
-
PCI Express
225W
-
A-U50DD-P00G-ES3-G
BOARD DCAB ALVEO U50 NET PASSIVE
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Quantity
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PCB Symbol, Footprint & 3D Model
8GB
Heat Sink
ALVEO
0°C ~ 50°C
201GB/s
872k
-
PCI Express
75W
-
ADK-U55C
ADK-U55C
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Quantity
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PCB Symbol, Footprint & 3D Model
16GB
Heat Sink
ALVEO
0°C ~ 45°C
460GB/s
1304k
-
PCI Express
115W
-
A-U250-P64G-SPQG-016
A-U250-P64G-SPQG-016
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Quantity
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PCB Symbol, Footprint & 3D Model
64GB
Heat Sink
ALVEO
0°C ~ 45°C
77GB/s
1728k
-
PCI Express
215W
-
A-U280-P32G-PQG-905
A-U280-P32G-PQG-905
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Quantity
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PCB Symbol, Footprint & 3D Model
32GB
Heat Sink
ALVEO
0°C ~ 45°C
460GB/s
1304k
-
PCI Express
215W
-

About  Server Acceleration Cards

Server Acceleration Cards, also referred to as system memory accelerators, are specifically designed to meet the evolving demands of modern data centers. These cards offer enhanced performance compared to traditional CPUs and are capable of accelerating various workloads without requiring hardware modifications. One of the primary advantages of server acceleration cards is their ability to significantly boost performance in a range of applications. This includes machine learning, artificial intelligence (AI), video transcoding, financial (crypto) trading, and database search and analytics. In machine learning and AI tasks, server acceleration cards excel at rapidly processing complex algorithms and handling large datasets. They leverage specialized hardware and optimized software frameworks to achieve faster training and inference times, enabling organizations to obtain valuable insights more efficiently. Video transcoding, another area where server acceleration cards shine, involves converting videos from one format to another. These cards leverage their computational power to accelerate the transcoding process, resulting in reduced processing time and improved overall efficiency. Financial (crypto) trading is another domain where server acceleration cards play a crucial role. These cards enable high-speed processing of complex trading algorithms, allowing traders to make rapid decisions and capitalize on market opportunities in real-time. In the realm of database search and analytics, server acceleration cards can significantly enhance query performance and data processing capabilities. These cards offload computationally intensive tasks, such as indexing and parallel processing, resulting in faster query response times and improved overall database performance. Server acceleration cards operate as programmable devices, meaning they can be customized and optimized for specific workloads. This flexibility allows data centers to adapt and optimize their infrastructure without requiring extensive hardware changes. In summary, server acceleration cards or system memory accelerators provide a powerful solution for modern data centers, offering superior performance compared to traditional CPUs. With their ability to accelerate workloads in machine learning, AI, video transcoding, financial trading, and database search and analytics, these cards enable organizations to enhance efficiency, improve decision-making, and unlock new possibilities in data-intensive applications.