- Qatar Investment Authority joins USD 275M funding round for US AI chip startup d-Matrix, alongside Microsoft, Temasek, and others.
- d-Matrix develops accelerator cards and a full-stack inference platform to improve AI performance, efficiency, and energy sustainability.
- Funding will support global expansion, large-scale deployments, and advancements in AI inference for hyperscale, enterprise, and sovereign customers.
d-Matrix
The Qatar Investment Authority (QIA) joined a USD 275 million funding round for US AI chip startup d-Matrix. The round also saw participation from BullhoundCapital, Triatomic Capital, and Temasek, M12, and Microsoft’s Venture Fund. Additionally, it also saw participation from Mirae Asset, Industry Ventures, and Nautilus Venture Partners.
Looking forward, with the new capital, it aims to advance its roadmap and accelerate its global expansion. It also seeks to support multiple large-scale deployments of its data center inference platform for hyperscale, enterprise, and sovereign customers.
“ We’ve spent the last six years building the solution: a fundamentally new architecture that enables AI to operate everywhere, all the time. This funding validates that vision as the industry enters the Age of AI Inference,” said Sid Sheth, CEO and co-founder of d-Matrix.
AI Chips
Founded in 2019 and headquartered in Santa Clara, d-Matrix is an AI chip startup. It develops accelerator cards that aim to make AI inferencing workloads quicker and more efficient.
Its full-stack inference platform combines compute-memory integration, high-speed networking and inference-optimized software. With this, it seeks to deliver faster performance and energy efficiency at a lower cost.
With this, it aims to address growing AI sustainability challenges. Thus, it seeks to enable one data center to handle the workload of ten. Furthermore, it aims to reduce global data center energy consumption while enabling enterprises to deliver cost-efficient, profitable AI services without compromise.
Bottom line: d-Matrix’s latest funding positions it to expand globally while advancing AI inference technology for faster, more efficient, and sustainable computing.
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