/Tech9h ago

SK hynix partners with Nvidia to co-develop next-generation memory optimized for Vera Rubin supercomputers and Jetson Thor

SK hynix will adopt Nvidia's Omniverse for chip design

15214357586.3K

#769

Original post

Rohan Paul@rohanpaul_ai#769inTech

https://news.skhynix.com/multi-year-tech-partnership-with-nvidia/

Rohan Paul@rohanpaul_ai

SK hynix and NVIDIA just formed a multi-year memory partnership to build the chips behind the next wave of AI factories.

So SK hynix is being pulled deeper into AI servers, personal AI, and physical AI.

SK hynix will codevelop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor platforms, and will use NVIDIA CUDA-X, PhysicsNeMo, Omniverse, OpenUSD and cuOpt to accelerate chip design, semiconductor simulations and autonomous fab digital twins.

Memory can no longer be designed after the GPU is finished, because advanced DRAM and high-bandwidth memory need years of co-design, fabrication planning, and capital spending.

The partnership also moves AI into chipmaking itself, using CUDA-X, PhysicsNeMo, and simulation tools to speed semiconductor physics, lithography, and internal engineering code.

SK hynix also plans fab digital twins, which are software copies of factories where robots, tools, wafers, and logistics can be tested before changes hit the real production line.

It reinforces SK Hynix's position as a key supplier in the AI hardware supply chai

5:46 PM · Jun 7, 2026 · 1.3K Views

/Tech9h ago

SK hynix partners with Nvidia to co-develop next-generation memory optimized for Vera Rubin supercomputers and Jetson Thor

SK hynix will adopt Nvidia's Omniverse for chip design

15214357586.3K

#769

Original post

Rohan Paul@rohanpaul_ai#769inTech

https://news.skhynix.com/multi-year-tech-partnership-with-nvidia/

Rohan Paul@rohanpaul_ai

SK hynix and NVIDIA just formed a multi-year memory partnership to build the chips behind the next wave of AI factories.

So SK hynix is being pulled deeper into AI servers, personal AI, and physical AI.

Memory can no longer be designed after the GPU is finished, because advanced DRAM and high-bandwidth memory need years of co-design, fabrication planning, and capital spending.

The partnership also moves AI into chipmaking itself, using CUDA-X, PhysicsNeMo, and simulation tools to speed semiconductor physics, lithography, and internal engineering code.

SK hynix also plans fab digital twins, which are software copies of factories where robots, tools, wafers, and logistics can be tested before changes hit the real production line.

It reinforces SK Hynix's position as a key supplier in the AI hardware supply chai

5:46 PM · Jun 7, 2026 · 1.3K Views

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Users welcome the NVIDIA-SK Hynix multi-year AI memory partnership because it promises rapid new tech and fabs to fuel AI systems.

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Rohan Paul@rohanpaul_ai

SK hynix and NVIDIA just formed a multi-year memory partnership to build the chips behind the next wave of AI factories.

So SK hynix is being pulled deeper into AI servers, personal AI, and physical AI.

Memory can no longer be designed after the GPU is finished, because advanced DRAM and high-bandwidth memory need years of co-design, fabrication planning, and capital spending.

The partnership also moves AI into chipmaking itself, using CUDA-X, PhysicsNeMo, and simulation tools to speed semiconductor physics, lithography, and internal engineering code.

SK hynix also plans fab digital twins, which are software copies of factories where robots, tools, wafers, and logistics can be tested before changes hit the real production line.

It reinforces SK Hynix's position as a key supplier in the AI hardware supply chai

8h43.5K7424

BOOKMARKS49LIKES125RETWEETS19

Rohan Paul@rohanpaul_ai

Nvidia just cleared the memory bottleneck significantly for Vera Rubin by qualifying HBM4 from Samsung, SK Hynix, and Micron & moving those parts into full production. per news, Vera Rubin HBM4 share: SK Hynix 60–70%, Samsung 25–30%, Micron rest.

Rohan Paul@rohanpaul_ai

SK hynix and NVIDIA just formed a multi-year memory partnership to build the chips behind the next wave of AI factories.

So SK hynix is being pulled deeper into AI servers, personal AI, and physical AI.

Memory can no longer be designed after the GPU is finished, because advanced DRAM and high-bandwidth memory need years of co-design, fabrication planning, and capital spending.

The partnership also moves AI into chipmaking itself, using CUDA-X, PhysicsNeMo, and simulation tools to speed semiconductor physics, lithography, and internal engineering code.

SK hynix also plans fab digital twins, which are software copies of factories where robots, tools, wafers, and logistics can be tested before changes hit the real production line.

It reinforces SK Hynix's position as a key supplier in the AI hardware supply chai

6h39.1K12549

Alexander Chernykh@chernykh

@rohanpaul_ai SK Hynix 70% Samsung 30% Micron rest

5h195

Dozent Tobias@klein_activist

@rohanpaul_ai SK Hynix mit 60-70% HBM4-Anteil. Fab digital twins vor dem echten Build spart massiv Kapital. Deutsche Halbleiter kämpfen derweil mit Finanzierung, oder?

5h129

Aasim Mahmood | ₿@K9Aasim

The AI factory needs its fuel, and SK Hynix is now the designated supplier.

This isn't just a handshake; it's a deep integration across **39.7B). For Nvidia, which just posted ~$194B in annual data center revenue, a guaranteed supply of cutting-edge memory is the ultimate hedge. This partnership isn't just building computers; it's building the engine of the next industrial revolution.

#NVDA #SKHynix #HBM #AIFactory

3h30

Broadstreet@mattbroadstreet

@rohanpaul_ai ⏫ good, we need new tech and fabs asap

Be good to see non-flat memory spaces used for inference too, on the address level.

8h2