Generative AI is creating a whole lot of pleasure, being used in games, creativity software like Adobe Express, and car infotainment systems however we can’t overlook that, there’s nonetheless a hitch: it calls for large computing energy. As this expertise features traction for its inventive talents, we want equally robust and scalable tech to deal with the heavy lifting.
Eager about this state of affairs, SK Hynix has officially announced the launch of its newest reminiscence answer, the HBM3E, with information processing capabilities of roughly 1TB/s. This development in reminiscence expertise is meant to cater to the calls for of next-generation AI apps.
![](https://i0.wp.com/cdnssl.ubergizmo.com/wp-content/uploads/2023/08/SK-hynix-HBM3E_01.jpg)
SK Hynix HBM3E (Picture: SK Hynix)
NVIDIA’s Hyperscale and HPC Computing unit, led by Vice President Ian Buck, goals to leverage the capabilities of SK Hynix’s HBM3E to reinforce numerous high-demanding duties. These duties span from climate forecasting and vitality exploration to computational fluid dynamics and life sciences, all of which closely depend on AI processing.
Dealing with Over 230 Full HD 5GB Movies in 1 Second
The upgraded iteration of this reminiscence expertise boasts the aptitude to course of information at speeds of as much as 1.15 terabytes per second. To place this into perspective, it may possibly deal with information equal to over 230 Full HD 5GB movies in a single second.
Moreover, SK Hynix highlights a ten% enchancment in warmth dissipation with this new reminiscence iteration, attributed to the employment of the newest Mass Reflow Molded Underfill (MR-MUF) course of expertise.
Backward Compatibility
An attention-grabbing characteristic of SK Hynix’s HBM3E reminiscence is its backward compatibility. This implies it may possibly work as a direct RAM improve in programs presently using HBM3 expertise alongside CPUs and GPUs.
Arriving in 2024
SK Hynix has outlined its manufacturing timeline, aiming for mass manufacturing to begin within the first half of 2024. The corporate is presently engaged within the sampling course of, with large prospects like NVIDIA amongst these receiving early entry to this new reminiscence answer.
Filed in AI (Artificial Intelligence), generative AI and Memory.
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