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DeepX commits over $100 million to build DX‑M2 AI chip on Samsung’s 2 nm process

South Korean AI‑chip startup DeepX announced it will spend more than $100 million to develop its next‑generation DX‑M2 processor, using Samsung’s advanced 2 nm manufacturing technology, with first silicon expected by March 2027.

4 min readRead the original reporting
Source-provided image accompanying DeepX commits over $100 million to build DX‑M2 AI chip on Samsung’s 2 nm process
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Publisher
bloomberg.com
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Reporting by a news outlet — not a first-party document.

What we could not confirm independently: This claim is attributed to the named outlet. We did not verify it against a first-party document. (bloomberg.com)

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Key terms

Inference
The runtime phase where a trained model generates predictions or outputs.
Compute
The processing resources required to train and run models, often measured in FLOPS or GPU hours.

What happened

DeepX Co., a South Korean AI‑chip startup, disclosed a $100 million investment to bring its DX‑M2 AI processor to market. The company has completed the chip’s design and submitted final production plans to Samsung Electronics’ foundry unit, which will fabricate the chip using Samsung’s cutting‑edge 2 nanometer process. DeepX expects to receive its first silicon samples by March 2027, after which it will begin customer evaluation programs and target volume manufacturing in 2028.

DeepX Co., a startup focused on AI‑accelerator design, announced a development budget exceeding $100 million to produce its next‑generation AI processor, the DX‑M2. The company says the design phase is complete and that it has handed over final production specifications to Samsung Electronics’ foundry division.

Samsung will fabricate the DX‑M2 using its 2 nanometer process, the most advanced semiconductor manufacturing technology currently in volume production. This node promises significant gains in transistor density, power efficiency, and performance compared with the 3 nm and 5 nm processes used in many existing AI chips.

DeepX projects that the first silicon wafers will be delivered by March 2027. Following receipt of silicon, the company plans a customer evaluation program to validate the chip’s performance on real‑world AI workloads. Assuming successful testing, DeepX aims to commence mass manufacturing in 2028.

The announcement did not include pricing details, target customers, or specific performance metrics such as TOPS per watt. DeepX’s statement emphasized the strategic partnership with Samsung and the ambition to offer a high‑efficiency solution for data‑center AI workloads.

Source details: bloomberg.com

Why it matters

The DX‑M2 chip represents a significant step for South Korea’s AI‑hardware ecosystem, aiming to compete with established players that rely on external foundries. By leveraging Samsung’s 2 nm node, DeepX hopes to deliver higher performance‑per‑watt and greater density than many current AI accelerators, potentially lowering operating costs for data‑center operators and enabling more efficient workloads. If successful, the chip could diversify the supply chain for AI hardware, reducing reliance on a handful of dominant manufacturers and offering customers an alternative for large‑scale AI model training and deployment. The timeline—first silicon in early 2027 and mass production by 2028—places DeepX in direct competition with other next‑generation AI chips slated for release in the same period, making its progress a key indicator of how quickly new entrants can scale in a market dominated by incumbents.

The AI‑chip market is heavily concentrated among a few large firms that dominate design and manufacturing. DeepX’s effort to bring a home‑grown Korean AI chip to market could broaden the competitive landscape and provide data‑center operators with more sourcing options, potentially improving pricing and supply resilience.

Utilizing Samsung’s 2 nm node may allow the DX‑M2 to achieve superior performance‑per‑watt, a critical metric for large‑scale AI and training where energy costs are a major expense. If the chip delivers on these promises, it could enable more cost‑effective deployment of large language models and other ‑intensive AI services.

The timeline aligns DeepX with other industry players planning 2 nm AI chips for 2027‑2028, making the company’s progress a useful barometer for how quickly new entrants can move from design to volume production in a technology‑intensive field.

Success could also stimulate further investment in South Korea’s AI‑hardware sector, encouraging talent retention and attracting additional venture capital to the region.

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Model Parameter Size:8B Parameters
VRAM Required5.5 GBGPU memory footprint
Target HardwareMacBook / Single GPUDeployment tier
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What to watch next

Key factors to monitor include DeepX’s ability to meet its silicon‑by‑March‑2027 target, the performance benchmarks of the DX‑M2 against competing 2 nm AI chips, and the uptake by early customers during the evaluation phase. Additionally, Samsung’s capacity to deliver the advanced node at scale and any pricing or supply‑chain constraints will influence the chip’s market impact. Observers should also watch for partnerships or design‑win announcements that could signal broader industry acceptance.

Whether DeepX meets its March 2027 silicon delivery target, as delays in advanced‑node production are common.

Performance benchmarks released during the customer evaluation phase, especially comparisons of TOPS per watt against competing 2 nm chips from established vendors.

Announcements of design wins or partnerships with major cloud providers, AI service companies, or OEMs, which would indicate market traction.

Samsung’s ability to allocate sufficient 2 nm capacity for DeepX amid high demand from other customers, and any pricing information that emerges, which will affect the chip’s competitiveness.

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