Intel ARC Alchemist GPUs to utilize Samsung 16 Gbps GDDR6 memory for superfast speeds

Intel ARC Alchemist GPUs to utilize Samsung 16 Gbps GDDR6 memory for superfast speeds

2 years ago
Anonymous $dEyjbtEkMr

https://wccftech.com/intel-arc-alchemist-gpus-to-utilize-samsung-16-gbps-gddr6-memory-for-superfast-speeds/

Last Sunday, Twitter user kuna leaked a photo on the platform showing the Intel ARC Alchemist discrete graphics card. Most of the image has been censored, more than likely due to embargo reasons, but it offers six memory modules surrounding the main chip. It also appears that the modules are labeled "Samsung K4ZAF325BM-HC16."

The tweet from kuna is shown below, along with specifications and who the credit was for the findings. We are seeing the Intel DG2-512EU GPU SKU, also known as Intel ARC Alchemist. The unreleased discrete card is a 6nm graphics card from the ARC Alchemist line based on the Xe-HPG archetype. The card offers six Samsung memory modules with the model number K4ZAF325BM-HC16 that is expected to use 2 GB in capacity for each module and 16 Gbps bandwidth speeds.

Intel ARC Alchemist GPUs to utilize Samsung 16 Gbps GDDR6 memory for superfast speeds

Jan 26, 2022, 7:27pm UTC
https://wccftech.com/intel-arc-alchemist-gpus-to-utilize-samsung-16-gbps-gddr6-memory-for-superfast-speeds/ > Last Sunday, Twitter user kuna leaked a photo on the platform showing the Intel ARC Alchemist discrete graphics card. Most of the image has been censored, more than likely due to embargo reasons, but it offers six memory modules surrounding the main chip. It also appears that the modules are labeled "Samsung K4ZAF325BM-HC16." > The tweet from kuna is shown below, along with specifications and who the credit was for the findings. We are seeing the Intel DG2-512EU GPU SKU, also known as Intel ARC Alchemist. The unreleased discrete card is a 6nm graphics card from the ARC Alchemist line based on the Xe-HPG archetype. The card offers six Samsung memory modules with the model number K4ZAF325BM-HC16 that is expected to use 2 GB in capacity for each module and 16 Gbps bandwidth speeds.