• Become a member
  • Log In
The Institution of Electronics
  • Home
  • About us
    • Our Objectives
    • Our History
    • Governance of the Institution
  • The Electron Magazine
    • 2024
      • 2024 – Winter
      • 2024 – Spring
      • 2024 – Summer
      • 2024 – Autumn
    • 2025
      • 2025 – Winter
      • 2025 – Spring
      • 2025 – Summer
      • 2025 – Autumn
    • 2026
      • 2026 – Winter
      • 2026 – Summer
  • Members
    • Membership Grades and Fees
    • Members’ Resources
      • The Electron Newsletter
      • The Archives
  • Education and Projects
    • National Electronics Competition
    • Student Members’ Projects
    • Arkwright Engineering Scholarships
  • News
  • Contact Us
  • Menu Menu
Uncategorised

GPU IP powers scalable AI and cloud gaming

Vitality is VeriSilicon’s latest GPU IP architecture targeting cloud gaming, AI PCs, and both discrete and integrated graphics cards. According to the company, Vitality offers advancements in computation performance and scalability. With support for Microsoft DirectX 12 APIs and AI acceleration libraries, the GPU architecture suits performance-intensive applications and complex workloads.

Vitality integrates a configurable Tensor Core AI accelerator and 32 Mbytes to 64 Mbytes of Level 3 cache. Capable of handling up to 128 cloud gaming channels per core, it meets demands for high concurrency and image quality in cloud-based entertainment while enabling large-scale desktop gaming and Windows applications.

“The Vitality architecture GPU represents the next generation of high-performance and energy-efficient GPUs,” said Weijin Dai, chief strategy officer, executive VP and GM of VeriSilicon’s IP Division. “With over 20 years of GPU development experience across diverse market segments, the Vitality architecture is built to support the most advanced GPU APIs. Its scalability enables widespread deployment in fields such as automotive systems and mobile computing devices.”

A datasheet was not available at the time of this announcement.

VeriSilicon

Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.

<!–
googletag.cmd.push(function() { googletag.display(‘div-gpt-ad-native’); });
–>

The post GPU IP powers scalable AI and cloud gaming appeared first on EDN.

27 December 2024
http://institutionofelectronics.ac.uk/wp-content/uploads/2022/12/IOE_LOGO.png 0 0 http://institutionofelectronics.ac.uk/wp-content/uploads/2022/12/IOE_LOGO.png 2024-12-27 01:12:132024-12-27 01:12:13GPU IP powers scalable AI and cloud gaming

Latest news

  • Measurement bandwidth9 October 2026 - 13:56
  • Practical design for a multi-output flyback converter with improved cross-regulation9 October 2026 - 08:50
  • The multi-gig Ethernet migration: Motivations and implementations8 October 2026 - 13:29
  • GaN FET meets megawatt-scale demands7 October 2026 - 20:15
  • FPGA IP accelerates deterministic networking7 October 2026 - 20:15
  • Microphone array advances acoustic detection7 October 2026 - 20:15
  • Quad beamformer simplifies X-band radar design7 October 2026 - 20:15
  • Global-shutter sensor raises pixel density7 October 2026 - 20:15
  • An unbuttoned circuit for setting digital pots7 October 2026 - 13:10
  • Training and inference: Two faces of AI compute7 October 2026 - 11:08
IOE LOGO 2

Become a member

click here

Become a member

click here

Become a subscriber

click here

Become a sponsor

click here

© Copyright - The Institution of Electronics | Website by WHD Solutions
  • Link to LinkedIn
  • Link to Facebook
  • Link to X
Link to: UWB radar SoC enables 3D beamforming Link to: UWB radar SoC enables 3D beamforming UWB radar SoC enables 3D beamforming Link to: 2024: The year when MCUs became AI-enabled Link to: 2024: The year when MCUs became AI-enabled 2024: The year when MCUs became AI-enabled
Scroll to top Scroll to top Scroll to top