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High-Bandwidth Memory (HBM) to Surpass Graphics Processing Unit (GPU) in Assessing Artificial Intelligence Efficiency, Claims Renowned Korean Semiconductor Scientist

AI performance will predominantly hinge on High Bandwidth Memory (HBM) instead of Graphics Processor Units (GPUs), according to a prominent semiconductor researcher at KAIST.

AI performance's decisive factor could shift from Graphics Processor Units (GPUs) to High Bandwidth...
AI performance's decisive factor could shift from Graphics Processor Units (GPUs) to High Bandwidth Memory (HBM), according to a semiconductor expert from KAIST.

High-Bandwidth Memory (HBM) to Surpass Graphics Processing Unit (GPU) in Assessing Artificial Intelligence Efficiency, Claims Renowned Korean Semiconductor Scientist

Next-gen HBM Tech on the Rise: KAIST's Tera Lab Paving the Way

Hey there! Let's dive into the exciting world of next-gen High Bandwidth Memory (HBM) technology, where KAIST's Tera Lab is making some serious waves.

Meet the Maverick: Professor Kim Joung-ho

Guiding the charge at KAIST's School of Electrical Engineering is none other than Professor Kim Joung-ho. This guy's the brains behind the operation, leading the pack in the development of HBM technology.

The Latest from Tera Lab

Tera Lab has been hard at work designing a roadmap for future HBM technologies, including the highly anticipated HBM5, due to hit the streets in 2029 according to the latest projections.

3D Near-Memory Computing: The Future of HBM

One of the big leaps expected in next-gen HBMs is the integration of 3D near-memory computing. This technology slashes latency and boosts memory bandwidth, helping reduce those pesky wait times and improving overall performance.

Focus on AI Computing

Industry giants like SK Hynix are zeroing in on optimizing HBM for AI computing applications. That's because these applications require high bandwidth and low latency to push the boundaries of innovation.

Packaging Up a Storm

The industry's also jumping on the advanced packaging train to amp up HBM's performance and scalability.

The Future is Bright

Next-gen HBM technology is set to be a game-changer in supporting demanding applications like AI computing, delivering more bandwidth and better power efficiency. Tera Lab's work is a key piece in the bigger puzzle of semiconductor advancements globally.

Who's Who in HBM

  • Tera Lab: Led by the one and only Professor Kim Joung-ho, contributing to the technical roadmap and pushing the boundaries of HBM technology.
  • SK Hynix: Focusing on optimizing HBM for AI applications.
  • KIOXIA Corp.: Diving deep into semiconductor storage solutions for generative AI evolution.

There you have it! Keep your eyes peeled for more developments in the world of next-gen HBM technology. It's gonna be a wild ride!

  1. The integration of 3D near-memory computing in next-gen HBM technologies, spearheaded by Professor Kim Joung-ho's Tera Lab, promises to revolutionize the data-and-cloud-computing industry by reducing latency and boosting memory bandwidth, in turn improving the performance of technology-driven applications like AI computing.
  2. While Tera Lab focuses on refining HBM technology and shaping its technical roadmap, industry leaders like SK Hynix have embarked on an ambitious mission to optimize HBM for AI computing applications, drawing on the benefits of advancements in data-and-cloud-computing, technology, and packaging solutions, to ensure their continued leadership in their respective industries.

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