GDDR6 Beyond Graphics : Memory for AI,VR, and Autonomous Driving
Modern computer applications rely heavily on graphics processing and rendering which involve a lot of simultaneous mathematical calculations. A typical CPU is not suitable for jobs that require simultaneous processing, which is why the concept of a dedicated Graphics Processing Unit (GPU) was introduced. The GPU has found its scope not only in graphics processing but also several emerging applications like AI, machine learning, VR, autonomous driving, and network routing.
GPU’s require memory which can offer much higher throughput than conventional memories like DDR, since it processes massive chunks of data all at once. The memory must also be capable of providing minimal latency, along with the possibility of simultaneous write/read. As a result, Graphics Double Data Rate (GDDR) memory, a dedicated type of SGRAM for the GPU, came into the picture.
To read the full article, click here
Related Semiconductor IP
- Securyzr™ neo Core Platform
- 112G Multi-SerDes
- SHA3 Cryptographic Hash Cores
- ISO/IEC 7816 Verification IP
- 50MHz to 800MHz Integer-N RC Phase-Locked Loop on SMIC 55nm LL
Related Blogs
- Autonomous Vehicles: Memory Requirements & Deep Neural Net Limitations
- SSD Interfaces and Performance Effects
- What’s on the Horizon for NAND and DRAM?
- DDR3/DDR2 price crossover reached
Latest Blogs
- Why Anti-tamper Sensors Matter: Agile Analog and Rambus Deliver Comprehensive Security Solution
- Automotive Ethernet with Comcores – Safety, Quality and ASIL certification of IP
- A Comparison on Different AMBA 5 CHI Verification IPs
- Cadence Recognized as TSMC OIP Partner of the Year at 2025 OIP Ecosystem Forum
- Accelerating Development Cycles and Scalable, High-Performance On-Device AI with New Arm Lumex CSS Platform