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Electronic Design Automation (EDA) Challenges and How Pure Helps Solve Them

Pure Storage

With this growth comes challenges around the core processes involved in semiconductor chip manufacturing. When manufacturers face challenges, so do supply chains, which makes meeting these challenges critical. Chip shortages are forcing manufacturers to speed up EDA workloads to accelerate the chip design process. What Is EDA?

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FlashStack for AI Checks the Boxes for Rapid AI Deployment at Any Scale

Pure Storage

With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. But to get there, they must first deploy a reliable, efficient AI-ready infrastructure.

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FlashStack for AI Checks the Boxes for Rapid AI Deployment at Any Scale

Pure Storage

With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. But to get there, they must first deploy a reliable, efficient AI-ready infrastructure.

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The SSD Trap: How a Storage Solution’s Reliance on SSDs Can Impact You (Part 1 of 2)

Pure Storage

are needed to build a system to meet any given performance and capacity requirements. SSD Design Is Driven by the Volume of the Retail Consumer Markets Rather than Enterprise Requirements In the world of storage media, manufacturing cost efficiencies are directly correlated to production volumes. Next, let’s look at DRAM. form factor.

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FlashStack for AI Checks the Boxes for Rapid AI Deployment at Any Scale

Pure Storage

With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. But to get there, they must first deploy a reliable, efficient AI-ready infrastructure.

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

GPUs are generally faster than CPUs for deep learning tasks, but the specialized architecture of TPUs often allows them to be faster than GPUs. GPUs, while powerful, tend to consume more power, especially when operating at maximum capacity.

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

GPUs are generally faster than CPUs for deep learning tasks, but the specialized architecture of TPUs often allows them to be faster than GPUs. GPUs, while powerful, tend to consume more power, especially when operating at maximum capacity.