d-Matrix Secures $110M Funding to Propel Corsair Inference Compute Platform

d-Matrix, a leading provider of high-efficiency generative AI compute for data centers, has recently secured $110 million in a Series-B funding round to bring its product, Corsair, the world's first Digital-In Memory Compute (DIMC) chiplet-based inference compute platform, to the commercial market and redefine the category.

d-Matrix's chiplet-based DIMC platform offers lower total cost of ownership (TCO) compared to GPU-based alternatives.
d-Matrix's technology is praised by industry experts for its innovative dataflow architecture, chiplet assembly, high-speed interface, and scalable software stack.
d-Matrix has experienced substantial growth in both its team and office space.

d-Matrix, a leading provider of high-efficiency generative AI compute for data centers, has recently secured $110 million in a Series-B funding round. The funding was led by Temasek, a global investment firm based in Singapore. With this investment, d-Matrix aims to bring its product, Corsair, the world’s first Digital-In Memory Compute (DIMC) chiplet-based inference compute platform, to the commercial market.

d-Matrix has been at the forefront of revolutionizing memory-bound compute workloads commonly found in generative AI and large language model (LLM) applications. Their recent silicon announcement, Jayhawk II, showcases their commitment to overcoming the memory bottleneck and improving performance while reducing AI compute costs. As the demand for this transformative technology continues to grow, d-Matrix’s innovative solutions are becoming increasingly crucial.

What sets d-Matrix apart is its elegant DIMC engine and chiplet-based solution, which offers a lower total cost of ownership (TCO) compared to GPU-based alternatives. This new chiplet-based DIMC platform, set to launch in 2024, is expected to redefine the category and solidify d-Matrix’s position as a leader in efficient AI inference.

Sid Sheth, co-founder and CEO of d-Matrix, emphasizes the need for more cost-effective AI inference solutions, stating that the current trajectory of AI compute is unsustainable. The funding round serves as validation for d-Matrix’s mission to change the cost economics of deploying AI inference and make generative AI commercially viable.

Industry experts also recognize the potential of d-Matrix’s technology. Sasha Ostojic, Partner at Playground Global, believes that d-Matrix is the company that will make generative AI commercially viable. He praises their innovative dataflow architecture, chiplet assembly, high-speed interface, and scalable software stack. Playground Global is excited to support d-Matrix as it meets the demand for improved economics in the industry.

Michael Stewart from M12, Microsoft’s Venture Fund, highlights the critical role of TCO in the adoption of advanced AI in enterprises. He commends d-Matrix for its flexible and resilient chiplet architecture, which enables industry-leading TCO for various model service scenarios.

Founded in 2019, d-Matrix’s primary goal is to address the memory-compute integration problem, a significant challenge in AI compute efficiency. The company has made significant investments in chiplet and digital in-memory compute technologies to develop a high-performance and cost-effective inference solution. With headquarters in Santa Clara, California, and offices in Bengaluru, India, and Sydney, Australia, d-Matrix has experienced substantial growth in both its team and office space.

With the Series-B funding, d-Matrix plans to focus on recruitment and the commercialization of its product. The company aims to meet the immediate customer demand for more efficient and cost-effective compute infrastructure for generative AI inference.

d-Matrix’s achievements have been made possible through the support of top investors and strategic partners, including Playground Global, M12 (Microsoft Venture Fund), SK hynix, Nautilus Venture Partners, Marvell Technology, and Entrada Ventures. For more information on d-Matrix and its innovative solutions, visit their website at d-matrix.ai and follow them on LinkedIn for the latest updates.

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Background Information

About Corsair:

Corsair, founded in 1994, is a manufacturer of high-performance gaming and enthusiast PC components and peripherals. The company specializes in producing top-tier gaming keyboards, mice, headsets, as well as computer cases, power supplies, and memory modules. Corsair has earned a strong reputation in the industry for its commitment to quality and innovation, catering to gamers and PC enthusiasts worldwide.

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About Microsoft:

Microsoft, founded by Bill Gates and Paul Allen in 1975 in Redmond, Washington, USA, is a technology giant known for its wide range of software products, including the Windows operating system, Office productivity suite, and cloud services like Azure. Microsoft also manufactures hardware, such as the Surface line of laptops and tablets, Xbox gaming consoles, and accessories.

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About SK hynix:

SK Hynix is a important South Korean semiconductor company known for its innovative contributions to the global technology landscape. Specializing in the production of memory solutions, SK Hynix has played a vital role in shaping the semiconductor industry. With a commitment to research and development, they have continuously pushed the boundaries of memory technology, resulting in products that power various devices and applications.

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Technology Explained

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.