FlexGPU FGPU

1. Summary

Ranks

Liquidity

-

Developer

-

Social

-

Momentum (beta)

0

Stack Rank™

-

Price

$0.000157040000 0.0%

Market Cap

$0.00 (#8528)

Supply

0.00 / 100.00M

Tags

Ethereum Ecosystem

More Metrics

Price
52W High price	$0.007686478000
52W High date	7th Mar 2024 (8 months ago)
All Time High (ATH) Date	7th Mar 2024 (8 months ago)
ATH Price	$0.03
% From ATH	-99.27%
All Time Low (ATL) Date	7th Jul 2024 (4 months ago)
ATL Price	$0.000170390000
% From ATL	11.37%

Supply & Trading Volume
Trading Volume (24h)	$17.00
Total Supply	100.00M
Max Supply	100.00M

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Description

FlexGPU is a project that leverages the processing power of Graphics Processing Units (GPUs) to enhance computational efficiency. It is built around the Intel Data Center GPU Flex Series, a general-purpose GPU optimized for media stream density and quality.

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FlexGPU is a project that leverages the processing power of Graphics Processing Units (GPUs) to enhance computational efficiency. It is built around the Intel Data Center GPU Flex Series, a general-purpose GPU optimized for media stream density and quality.

Features and Functionality

• The Intel Data Center GPU Flex Series is designed to work in tandem with Intel Xeon Scalable processors, efficiently handling diverse and complex workloads.
• The series includes two models: Flex 140, a low-profile 75W option with two 8 Xe-core GPUs, and Flex 170, a 150W option with a single 32 Xe-core GPU for higher peak performance.
• These GPUs are designed for tasks such as video decoding and encoding, supporting industry standards like AVC, HEVC, and AV1.
• They are ideal for pipelines involving AI models, including object detection and classification, and are optimized for high stream density and media processing.

Integration and Development

• The project also involves the use of PluggableDevice, a device integration interface developed by Intel and Google to enable seamless integration of new hardware with TensorFlow without modifying the framework's code base.
• This interface allows hardware vendors to release plug-in packages for new device support that can be installed alongside TensorFlow.
• The Intel Extension for TensorFlow accelerates TensorFlow-based applications on Intel platforms, including the Intel Data Center GPU Flex Series and Intel Arc graphics.

Tools and Applications

• The project supports media analytics workloads, including video decoding, scaling, and inference for tasks such as recognizing objects and identifying faces.
• It is integrated with the DL Streamer pipeline framework and supports various AI models, including simpler and more complex models.

Platforms and Compatibility

• The project is compatible with Linux and Windows Subsystem for Linux (WSL2).
• It supports various platforms and systems, including the Cisco UCS X-Series Modular System, which pairs the Cisco UCS X210c M7 Compute Node with the Cisco UCS X440p PCIe Node.

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