Test report DSG-2852 · Rev A · tested October 19, 2026

Memory & StorageDevice under test

Samsung to Build Nvidia's Next-Gen Memory on TSMC Process, Report Says

Samsung will use TSMC process technology for Nvidia's next-generation memory chips, an unconfirmed Seeking Alpha report says, linking three of the industry's largest players.

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Amara Osei

Spec summary

  1. Samsung reportedly will use TSMC process technology for Nvidia's next-generation memory chips
  2. The report was published by Seeking Alpha under ticker SSNLF (Samsung's OTC listing)
  3. No company involved — Samsung, TSMC or Nvidia — has confirmed the arrangement
  4. The report names no volumes, dates, process node or revenue figures
Samsung said to use TSMC tech for Nvidia's next-generation memory chips (SSNLF:OTCMKTS) - Seeking Alpha
Fig. ASamsung said to use TSMC tech for Nvidia's next-generation memory chips (SSNLF:OTCMKTS) - Seeking Alpha — sfwinchai / pixabay

Samsung will use TSMC process technology to produce next-generation memory chips for Nvidia, according to a report circulated by Seeking Alpha. The plan, which neither company has confirmed, links three of the semiconductor industry's largest players in a single supply chain for future AI accelerators.

The ticker referenced in the report is SSNLF, Samsung's over-the-counter listing in the US market. The story, dated to current reporting, describes a sourcing arrangement rather than a finished product announcement.

What does the reported arrangement involve?

According to the report, Samsung's memory division would supply the next generation of memory chips destined for Nvidia's hardware, with TSMC's process technology in the production chain. In plain terms: Samsung designs and supplies the memory; TSMC's fabrication methods sit underneath it.

The arrangement matters because Nvidia's current memory suppliers have faced capacity pressure as AI accelerator demand has outpaced output. A qualified second source with TSMC-linked technology would give Nvidia additional volume without depending on a single vendor.

Neither Samsung, TSMC nor Nvidia has published specifications, volumes or timelines for the chips described in the report.

Why would Samsung turn to TSMC's technology?

Samsung operates its own foundry business, which makes the reported choice of TSMC technology notable. Memory makers have historically integrated their own process nodes for DRAM and associated logic.

For advanced memory products, however, foundry partnerships with TSMC have become a practical route for the logic layers that sit beneath or beside memory stacks. The report does not state which TSMC node the arrangement would use, nor which memory generation — HBM or otherwise — the chips belong to.

What the report does state is direction: Samsung, TSMC technology, Nvidia as the customer, and next-generation memory as the product category.

What is confirmed and what is not?

The report carries the qualifier "said to," and no party named in it has issued a public statement. Key open questions include:

  • Volume commitments and qualification timelines
  • Which Nvidia product line the memory would serve
  • Which TSMC process node is involved
  • Whether the arrangement covers supply, licensing or co-development

Investors tracking SSNLF should treat the item as an unconfirmed supply-chain report until Samsung or Nvidia files or states otherwise.

What is the market significance?

If confirmed, the arrangement would place Samsung inside Nvidia's next-generation memory supply chain alongside its existing role across the broader memory market, and it would extend TSMC's reach into memory-adjacent production for AI hardware.

The report names no revenue figures, no dates and no capacity targets. Until those numbers exist, the story is a signal of sourcing direction — not a signed contract.

For now, one sentence carries the weight: Samsung reportedly builds Nvidia's next memory generation on TSMC technology, and nobody involved has said it in public.

via Google News: TSMC (Source)

Filed under

  • samsung
  • tsmc
  • nvidia
  • hbm
  • ai-accelerators
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Amara Osei

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Staff writer covering money, funding and market shifts around hardware layer of artificial intelligence at Die Signal.

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