Hardware
Hardware for AI encompasses specialized components optimized for artificial intelligence tasks. It includes GPUs, TPUs, FPGAs, and ASICs for accelerated computations. CPUs, memory systems, and data center infrastructure are also essential. Edge devices and cloud-based AI infrastructure provide accessible and efficient AI hardware resources.
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Graphcore is an AI hardware and software provider that has developed a new type of processor for machine intelligence, specifically designed to accelerate machine learning and AI applications. Their technology enables faster and more efficient computation for AI workloads, helping organizations supercharge growth and bring intelligence to their enterprise applications.
DeepMind: Research organization focused on building safe AI systems, advancing science, and benefiting humanity. Collaborates with Google on projects like improving YouTube and enhancing Google Cloud solutions.