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Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…They are not simply LLM wrappers. Cadence’s AgentStack and AI Super Agents, Siemens EDA’s Fuse EDA AI Agent, and Synopsys’ AgentEngineer all point toward a common direction: AI systems that…
…From automotive ADAS to edge LLMs to industrial robotics, our technology is shipping inside real products at high volume. Headquartered in Burlingame, CA, Quadric is a rapidly growing semiconductor IP company with…
…Memory bandwidth and cache capacity are the dominant bottlenecks for LLM inference, HPC iterative solvers, and EDA placement runs. Area invested in larger L1 or L2 caches, or additional cache banks for…
…The Productivity Promise – AI Apps from RL to LLMs to Agents This panel moderated by industry journalist Junko Yoshida and featuring experts from Nvidia, Microsoft, AMD, Intel, and Synopsys explored the broader…
Role The AI Inference Engineer in Quadric is the key bridge between the world of AI/LLM models and Quadric unique platforms. The AI Inference Engineer at Quadric will [1] port AI…
…In this role, you will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze performance and optimize kernels for different hardware configurations. This technical…
…The AI Kernel Engineer at Quadric will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze the performance and optimize the kernel for different…
…The emergence of large language models (LLMs) introduces a transformative opportunity for SoC design automation. Beyond natural language understanding and code generation, advanced LLMs demonstrate capabilities in architectural reasoning, specification refinement, vulnerability…
…Experience in implementing state-of-the-art neural networks, generative AI and LLMs embedded SW over SoCs /DSPs/NPUs. Familiarity with AI frameworks such as optimum PyTorch, Tensor Flow, vLLM, SgLang and…
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