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SK Hynix Announces its HBM2E Memory Products, 460 GB/s and 16GB per Stack
SK Hynix Inc. announced today that it has developed HBM2E DRAM product with the industry's highest bandwidth. The new HBM2E boasts approximately 50% higher bandwidth and 100% additional capacity compared to the previous HBM2.
SK Hynix's HBM2E supports over 460 GB (Gigabyte) per second bandwidth based on the 3.6 Gbps (gigabits-per-second) speed performance per pin with 1,024 data I/Os (Inputs/Outputs). Through utilization of the TSV (Through Silicon Via) technology, a maximum of eight 16-gigabit chips are vertically stacked, forming a single, dense package of 16 GB data capacity.
SK Hynix's HBM2E is an optimal memory solution for the fourth Industrial Era, supporting high-end GPU, supercomputers, machine learning, and artificial intelligence systems that require the maximum level of memory performance. Unlike commodity DRAM products which take on module package forms and mounted on system boards, HBM chip is interconnected closely to processors such as GPUs and logic chips, distanced only a few µm units apart, which allows even faster data transfer.
"SK Hynix has established its technological leadership since its world's first HBM release in 2013," said Jun-Hyun Chun, Head of HBM Business Strategy. "SK Hynix will begin mass production in 2020, when the HBM2E market is expected to open up, and continue to strengthen its leadership in the premium DRAM market."
SK Hynix Starts Mass-Producing World’s First 128-Layer 4D NAND - 06/26/2019 08:24 AM
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SK Hynix is showing details on their first DDR5 chip. The standard is officially still under development by Jedec, but seems to make an appearance soon enough.....
SK Hynix: DDR5 by 2020 and Actively Developing DDR6 - 01/28/2019 09:50 AM
While motherboards and procs paired with DDR4 can reach amazing frequencies and latencies these days, SK Hynix is already talking about DDR6, and yes, DDR5 is poised to see a release in 2020....
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TLD LARS
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#5699350 Posted on: 08/12/2019 02:43 PM
They where forced to use HBM to be competitive, they needed the memory speed and lower power usage.
HBM is still used on the top workstation cards, unless something bag happens with GDDR7, HBM will still be the best solution for high bandwidth and large capacity.
Only costs an arm and a leg. Glad AMD finally moved away from this...
They where forced to use HBM to be competitive, they needed the memory speed and lower power usage.
HBM is still used on the top workstation cards, unless something bag happens with GDDR7, HBM will still be the best solution for high bandwidth and large capacity.
Fox2232
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#5699372 Posted on: 08/12/2019 03:34 PM
So, that's to cost exactly?
Is it more than system memory having same bandwidth?
Wait? your dual channel system reaches only 60GB/s and not 460GB/s? What are you paying for here exactly?
What about mobile device having APU + memory in 3x4 cm area. Imagine 6C/12T + iGPU performing at around 75% of 5700 XT.
Perfect 1080p gameplay at good power draw in thin laptop. Saved space from memory means extra cooling capacity, battery, another M.2, ...
Only costs an arm and a leg. Glad AMD finally moved away from this...
So, that's to cost exactly?
Is it more than system memory having same bandwidth?
Wait? your dual channel system reaches only 60GB/s and not 460GB/s? What are you paying for here exactly?
What about mobile device having APU + memory in 3x4 cm area. Imagine 6C/12T + iGPU performing at around 75% of 5700 XT.
Perfect 1080p gameplay at good power draw in thin laptop. Saved space from memory means extra cooling capacity, battery, another M.2, ...
sunnyp_343
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Joined: 2009-11-24
Senior Member
Posts: 515
Joined: 2009-11-24
#5699377 Posted on: 08/12/2019 03:47 PM
But so far none of the HBM gaming gpu succeed.
But so far none of the HBM gaming gpu succeed.
Fox2232
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#5699380 Posted on: 08/12/2019 04:10 PM
On other hand, none of them would be even released without it. And it is not that they did not succeed. It is that competition cheaped out for years on compute.
GCN was unnecessarily big and power hungry due to compute power nVidia did not care for. And since it was thing just one manufacturer had, games did not used it much either. Therefore quite some portions of those GPUs were worthless to pure gaming crowd.
Had it been that nVidia matched AMD's compute several generations before Turing, all of them would have been successful. People do not like Turing much, but it is on par with Vega in computational operations.
Imagine your GPU costing $50 more while having 10% higher clock on GPU and 50% higher memory bandwidth at same TBP. Would not be bad on $600 MSRP card, right?
It all depends on achieved benefits. Apparently, your GTX 1080 did not have need to save much energy on memories. Neither it needed to be smaller, or had need for 50% higher memory bandwidth. But it would be very unrestricted card with HBM2.
But so far none of the HBM gaming gpu succeed.
On other hand, none of them would be even released without it. And it is not that they did not succeed. It is that competition cheaped out for years on compute.
GCN was unnecessarily big and power hungry due to compute power nVidia did not care for. And since it was thing just one manufacturer had, games did not used it much either. Therefore quite some portions of those GPUs were worthless to pure gaming crowd.
Had it been that nVidia matched AMD's compute several generations before Turing, all of them would have been successful. People do not like Turing much, but it is on par with Vega in computational operations.
Imagine your GPU costing $50 more while having 10% higher clock on GPU and 50% higher memory bandwidth at same TBP. Would not be bad on $600 MSRP card, right?
It all depends on achieved benefits. Apparently, your GTX 1080 did not have need to save much energy on memories. Neither it needed to be smaller, or had need for 50% higher memory bandwidth. But it would be very unrestricted card with HBM2.
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Only costs an arm and a leg. Glad AMD finally moved away from this...