Nvidia Vera Debuts
Perplexity AI Adopts Nvidia Vera CPU for Enhanced AI Search, Boosting Agent Tasks
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Key Points
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Vera is marketed by Nvidia as the world's only Max Single-Threaded CPU at scale, designed to sustain AI agent workloads with high memory bandwidth per core for sequential tasks.
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Nvidia positions Vera as a more generic computing CPU rather than AI-specific offerings, signaling a broader role beyond specialized AI accelerators.
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Vera is intended to complement GPUs by handling general-purpose computing tasks while GPUs handle AI inference, indicating a two-tier compute stack for next-generation AI workloads.
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Perplexity’s adoption is described as an early customer win for Nvidia as it expands into the server-CPU market.
Perplexity AI plans to deploy Nvidia's new Vera CPU to power its AI search engine, making it one of the first companies to publicly commit to the chip. Perplexity VP Nate Kupp called Vera a "dead-on" fit, saying it ran agentic coding tasks about 1.5x faster than traditional CPUs, according to WCCFTech.
The move is a key early win for Nvidia as it pushes into the server CPU market — a space long ruled by Intel and AMD. Nvidia is targeting roughly $20 billion in Vera revenue this year, according to Electronics For You.
What Makes Vera Different From Other CPUs
Nvidia markets Vera as the world's only "Max Single-Threaded CPU" at scale. That means it is built to handle one task at a time very quickly, rather than juggling many tasks at once. This makes it ideal for AI agents, which often work through long chains of steps in sequence.
Vera is also designed with high memory bandwidth per core. In plain terms, it can move large amounts of data quickly to each processing unit. That matters for AI workloads where speed of data access is a bottleneck, according to WCCFTech.
Vera Pairs With GPUs in a Two-Tier Compute Stack
Nvidia does not position Vera as a replacement for its GPUs. Instead, Vera handles general-purpose computing tasks while GPUs handle AI inference — the step where a trained model generates an answer. This creates a two-tier system designed for next-generation AI workloads, according to Electronics For You.
Nvidia describes Vera as a more generic computing chip rather than a narrowly AI-specific one. That wider role is what gives it appeal beyond just AI labs. It signals Nvidia's ambition to become a full AI computing platform, not just a GPU seller.
Perplexity Joins a Wave of Major AI Vera Adopters
Perplexity is not alone. OpenAI, Anthropic, and Oracle are also among the companies planning to use Vera CPUs, according to The Next Web. The broad adoption shows Vera is gaining traction fast across the AI industry.
Perplexity has not said how many Vera chips it will buy. But the partnership signals the company is building a more scalable and specialized infrastructure for its AI search product. As AI agents grow more complex, demand for chips like Vera is expected to rise.
Nvidia's Bigger Play: Challenging Intel and AMD
For Nvidia, Vera is part of a clear strategy to move beyond AI accelerators. The server CPU market has been dominated by Intel and AMD for decades. Nvidia is now targeting that market directly, with a $20 billion revenue goal for Vera this year, according to Electronics For You.
Early customer wins like Perplexity help Nvidia build credibility in this new space. If Vera proves itself in real AI workloads, it could pressure Intel and AMD to respond. The chip market for AI infrastructure is shifting fast, and Vera puts Nvidia at the center of that shift.
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