search
d-Matrix
Trends
- 1Nvidia to Invest in Chip Rival d-Matrix▼Nvidia to Invest in Chip Rival d-Matrix as Its Challengers Choose Partnership
Nvidia is preparing to invest in d-Matrix, a startup building inference chips that compete with Nvidia's own AI processors. The move would put the market leader money behind one of its challengers rather than simply squeezing rivals out, reflecting a broader pattern where would-be competitors are aligning with Nvidia instead of fighting it head-on. Details of the deal's size and terms have not been disclosed.
- 2Nvidia reportedly plans investment in AI inference chip startup d-Matrix▼Report: Nvidia plans to invest in inference chip startup d-Matrix
Nvidia is planning to invest in d-Matrix, a startup that develops chips specialised for AI inference, according to a report by Data Center Dynamics. The move would deepen Nvidia's reach in the semiconductor market beyond training hardware, as demand grows for efficient chips that run AI models rather than build them. Details of the size and terms of the investment have not been disclosed.
- 3Another IKEA Product Turns Into an LED Matrix●Another IKEA Product Yields an LED Matrix https://hackaday.com/2026/10/10/another-ikea-product-yields-an-led-matrix/ # D
A maker has converted an IKEA product into a functioning LED matrix, continuing a popular DIY trend of repurposing flat-pack furniture and household items for custom electronics projects. Hackaday's writeup has drawn attention among hobbyists, who enjoy seeing everyday IKEA items hacked into displays, with discussions focusing on the build's simplicity and the endless possibilities of combining cheap furniture with programmable LEDs.
- 4NVIDIA posts $2.38 EPS, backs AI chip startup d-Matrix●Key facts: NVIDIA (NVDA) $2.38 EPS $104B; backs d‑Matrix; $1.5T funding
NVIDIA reported earnings of $2.38 per share alongside roughly $104 billion in revenue, according to market data. The company is also reported to have backed AI inference chip startup d-Matrix, with broader talk of $1.5 trillion in AI-related funding commitments. Investors are weighing the results against high expectations for the semiconductor and AI buildout.