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AI will need more computing power, not less. DeepSeek claimed it had trained its R1 model for a fraction of the cost ...
Why? Nvidia is the world's leading company in discrete graphics processing units (GPUs) -- chips specializing in heavy computing workloads. AI requires immense computing power to process ...
NVIDIA expands across Europe with major AI infrastructure deals, focusing on sovereign AI to offset China losses and boost ...
AMD's upcoming data center accelerators MI350X and 355X bring much more AI optimizations, but sacrifice classic floating ...
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Nvidia (NVDA) CEO Jensen Huang ... Instead, the chip executive said the world needs far more computing power to handle so-called reasoning and agentic AI applications than previously ...
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