FPGA Responds to Slowdown of the Moore's Law
FPGA: Dedicated and Highly Efficient
In recent years, the effect of Moore's Law has weakened. At the same price, the number of transistors per unit of the chip area cannot be doubled every 18 to 24 months. That is, the performance of products using CPU for computing can hardly be improved to meet the requirements of emerging industries, such as AI, AR/VR, gene computing, HD and ultra HD videos. We have reached the end of Moore’s Law as we know it. Heterogeneous computing represented by FPGA will become the mainstream in each computing-intensive domain.
IPR Protection Assurances for Partners
  • User case -NGcodec

User case -NGcodec

Background

HUAWEI CLOUD cooperates with industry-leading FPGA IP address providers to offer video encoding, genetic analysis, image processing, big data analysis, and comprehensive acceleration services for the financial field. Acceleration IP addresses for the H.265 video encoding standard from NGCodec are now available on HUAWEI CLOUD. HUAWEI CLOUD cooperates with Accelize to provide intellectual property right protection for partners.

Technical Advantages

Security

When the IP address of a partner is loaded for the first time, Accelize authenticates the IP address. After the partner’s IP address is successfully loaded, Accelize provides scheduled status query and periodically provides the information to partners.

Transparency

The authentication and status information of Accelize is transparent to customers of HUAWEI CLOUD FACS.

Customer CEO’s Feedback

The cooperation with Accelize plays a vital role. Accelize provides flexible business models and reliable protection mechanisms to help NGCodec quickly deploy video encoding IP addresses on HUAWEI CLOUD (from Oliver Gunasekara, CEO & Founder at NGCodec).

Related Services

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Recommended Configurations

FP1/FP1c (basic)

Basic hardware acceleration instance

FP1/FP1c (basic)

Basic hardware acceleration instance

Configuration

  • vCPUs 8/32/64
  • Memory 88/352/708 GB
  • FPGA 1/4/8 VU9P
  • Data Disk EVS

Scenarios

  • Video encoding
  • Image transcoding
  • Deep learning
  • Encryption/decryption

FP1/FP1c (enhanced)

Enhanced hardware acceleration instance

FP1/FP1c (enhanced)

Enhanced hardware acceleration instance

Configuration

  • vCPUs 32/64
  • Memory 224/448 GB
  • FPGA 1/2 VU9P
  • Data Disk EVS

Scenarios

  • Genetic analysis
  • Data mining and analysis
  • High-performance database
  • High-performance computing
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