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Home | Hyderabad | Oxmiq Labs Raises 35 Million Dollars In Series A Funding

OXMIQ Labs raises 35 million dollars in Series A funding

Raja Koduri-founded OXMIQ Labs has secured 35 million dollars in Series A funding, taking its total capital raised to 60 million dollars. The investment will help expand OxCore, the company's licensable GPU architecture designed for custom AI silicon and efficient AI infrastructure

By Telangana Today
Published Date - 1 July 2026, 09:54 PM
OXMIQ Labs raises 35 million dollars in Series A funding
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Hyderabad: OXMIQ Labs Inc., a unified GPU and AI architecture company founded by Raja Koduri, on Wednesday closed its 35 million dollar Series A financing, bringing the company’s total capital raised to 60 million dollars. The funding will help scale OxCore, OXMIQ’s licensable GPU architecture that allows semiconductor companies and AI system builders to build custom AI silicon without a full chip programme.

The round was co-led by Fundomo and Samsung Catalyst Fund, with participation from MediaTek, AM Intelligence Labs, Pegatron Venture Capital, CDIB-TEN, Darwin Ventures and Morgan Creek Digital, among other financial and strategic investors.


Token demand is outpacing the world’s ability to build infrastructure to support it. OXMIQ was founded to re-architect the GPU stack from Atoms to Agents by building the silicon IP, configurable systems and software platform that enable semiconductor companies and AI infrastructure builders to reduce the cost of intelligence at every layer of the stack.

At the centre of the architecture is OxCore, a scalable, licensable GPU core that integrates three distinct compute engines: a CUDA®-compatible GPU engine, a tensor processing engine and an orchestration engine (CPU) responsible for coordinating workloads and agents across the system.

OxCore tightly integrates compute functions that are typically split across three chips and was purpose-built for near-memory computing, minimising data movement to improve the compute and energy efficiency of AI workloads.

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