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Free standard shipping on orders of at least C$ 300 excluding taxes and shipping costs, and after any applicable coupons have been applied. Free standard shipping applies to purchases delivered within Canada. Western Digital reserves the right to change or discontinue these terms at any time without notice.
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Discount offer valid only for qualifying products bought online through the Western Digital Store. The discount may not be combined, used in conjunction with or used in addition to any other promotion or offer and does not apply to taxes or shipping costs. Products exclusions: Outlet Store products and recertified products. Retailers, Resellers and Distributors are excluded from this promotion. The promotion is not applicable for any prior purchases and may not be available in all regions of the world. WD reserves the right to change or discontinue this offer at any time without notice. This promotion is only valid on December 13, 2021.
Details & Exclusions
Hassle Free Return for the Holidays
Western Digital Store is introducing an extended return policy this holiday season. Items purchased starting November 22nd through December 22nd 2021, can be returned until January 22nd, 2022, for most reasons, without exceptions. Contact Western Digital support to determine if your order qualifies, and to begin the process of a return. This policy is subject to exclusions.
Artificial Intelligence
Machine Learning, Video Processing
Machine Learning Inferencing
Seamless Deployment, Broad Network Support, Power Efficient
Video Transcoding
Edge-based, Low Latency Video Transcoding Use Case
Custom Processing
FPGA Powered Custom Acceleration
Machine Learning (ML) is fast becoming part of our everyday life. Western Digital has engineering projects investigating their uses in our products and processes. Given that data is the key to the learning, accuracy and intelligence of algorithms/networks, ML is a growing focus for us. Western Digital’s U.2 FPGA based card enables edge processing applications like machine learning inferencing and video transcoding. The solutions contains a FPGA based hardware board combined with various firmware configurations. A wide array of processing solutions can be supported for power conscious edge applications.
Machine Learning at the Edge
Machine Learning Inferencing is implemented on Western Digital’s U.2 FPGA based card coupled with Mipsology’s Zebra IP. This solution provides compelling performance in a power conserving form factor. Numerous popular networks are supported to enable seamless deployment. No retraining or pruning of your algorithms are required. This FPGA based solution is ideal for industrial automation, medical, smart cities and other edge based ML applications.
Edge Based Video Transcoding
Western Digital’s U.2 FPGA based card can support a variety of processing accelerations at the edge. Xilinx’s application of the FPGA-based card can implement video transcoding. Encode and Decode of multiple H.264 or H.265 is supported. Resolution up to 4k@60fps are supported. This transcoding solution is available from Xilinx. The ordering part number from Xilinx is A-U2MA-P04G-PQG-021.
Seamless Deployment, Broad Network Support, Power Efficient
Often edge based applications are constrained both in terms of power and size. The Western Digital’s U.2 FPGA based card is compelling for a wide array of machine learning applications. Specially designed accelerators are becoming popular for their specific machine learning capabilities. Western Digital’s U.2 FPGA based card with Mipsology’s Zebra IP provides offload for traditional processors saving power and improving performance.
ZebraIP allows trained networks to run seamlessly for cloud trained implementations. The solution provides compelling performance/mWatt for edge-based machine learning inferencing applications.
Network
Performance (img/sec)
Inception V3
246
Inception V4
118
ResNet 50
479
ResNet 152
198
Yolo V1
66
Yolo V2
70
Yolo V3
30
Edge targeted, Low Latency Video Transcoding
Xilinx’s video transcoding solution using Western Digital’s U.2 FPGA based card offers low latency and power efficiency for the edge. The FPGA based card implements video transcoding when loaded with the Xilinx IP. Encode and Decode of multiple H.264 or H.265 can be implemented. Resolution up to 4k@60fps are supported. This transcoding solution is available from Xilinx. The ordering part number from Xilinx is A-U2MA-P04G-PQG-021. Order the IP and hardware from Xilinx or their approved distribution network.
FPGA Based Custom Acceleration
For a wide variety of applications, FPGAs are commonly used to provide hardware based acceleration. Customers in finance, medical, defense and various industrial markets often leverage custom FPGA firmware to take advantage of the inherent low latency. The Xilinx Zynq based FPGA on Western Digital’s U.2 FPGA based card can be utilized by organizations who implement custom acceleration.
White Paper
Edge-Based Security Use Cases with Accelerated Analytics and Storage
A hybrid cloud, multi camera surveillance solution using machine learning analytics.
