AI Infrastructure Silicon Valley - Executive Series | Sid Sheth, d-Matrix

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Sid Sheth

CEO

d-Matrix

play_circle_outline D-Matrix focuses on AI inference, making it affordable and commercially viable for everyone.

play_circle_outline D-Matrix's chip architecture includes RISC-V engine and specific engines for transformer workloads.

play_circle_outline Importance of in-memory computing for efficient matrix math in AI inference.

play_circle_outline Transforming AI Workloads: Unifying Architecture for Generative Inference Acceleration

play_circle_outline Revolutionizing Data Centers: Plug-and-Play Solutions for Cloud and AI Technologies

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Sid Sheth, d-Matrix

Sid Sheth

CEO d-Matrix

D-Matrix focuses on AI inference for generative AI, making it affordable and commercially viable. With a platform tailored for transformer workloads and interconnects for scaling AI models, they target data centers of all sizes. Their platform is designed for inference only, accelerating generative AI with transformer architectures. Planning a product launch later this year, D-Matrix aims to help customers deploy AI solutions and see a return on their investments. In the discussion, the importance of inference in utilizing AI effectively is emphasized, along ... Read more

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What aspect of AI compute is D-Matrix focused on? add

What are the different types of compute engines built into the chip for handling various workloads, and what are their specific functions? add

What are some considerations when performing matrix math on GPUs for efficient inference and low latency in applications? add

What are some considerations when choosing between RISC-V and a CPU for performance needs in AI, and how does the use of transformer models impact the architecture and interconnects in AI systems? add

What is the pitch to smaller data centers regarding working with cloud scale data centers, sovereign AI data centers, and specialized AI or GPU clouds? add

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