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Caroline Bishop Feb 01, 2025 16:41 NVIDIA’s GeForce RTX 50 Series is redefining AI performance with DeepSeek-R1 models, offering unprecedented reasoning capabilities and high-speed processing on PCs. NVIDIA’s latest GeForce RTX 50 Series GPUs are setting new standards in AI performance, particularly with the introduction of the DeepSeek-R1 model family. These new GPUs are equipped with an impressive 3,352 trillion operations per second (TOPS) of AI processing power, allowing them to run the DeepSeek family of distilled models faster than any other GPUs currently available on the market, according to NVIDIA. The Rise of Reasoning Models Reasoning models represent a significant advancement in the field of large language models (LLMs). These models are designed to spend more time ‘thinking’ and ‘reflecting’ to solve complex problems, much like a human would. This approach, known as test-time scaling, dynamically allocates computing resources during inference, enabling the model to reason through problems more effectively. These models enhance user experiences by deeply understanding needs, taking actions on behalf of users, and allowing feedback on the model’s thought process. This capability unlocks agentic workflows for solving complex, multi-step tasks such as market analysis, complex mathematics, and debugging code. The DeepSeek Advantage The DeepSeek-R1 family is based on a 671-billion-parameter mixture-of-experts (MoE) model, which divides tasks among smaller expert models for better problem-solving efficiency. Through a technique called distillation, NVIDIA has developed six smaller student models from the larger DeepSeek architecture. These models, ranging from 1.5 to 70 billion parameters, retain the reasoning capabilities of the original while running efficiently on RTX AI PCs. Optimized Performance with RTX GeForce RTX 50 Series GPUs, featuring fifth-generation Tensor Cores and based on NVIDIA’s Blackwell GPU architecture, provide unparalleled inference speeds. This architecture, known for driving AI innovation in data centers, now brings its power to personal computing, fully…

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Filed under: News - @ February 1, 2025 6:11 pm