Vera Delivers the Best of Both Worlds: Highest Throughput and Fastest Agents

NVIDIA is pitching its Vera CPU as a single processor that can handle both speed-sensitive and capacity-heavy AI agent workloads, according to a November 5 company blog post by Hannah Coutand. The company argues that agents constantly alternate between GPU reasoning and CPU tasks such as searching, querying databases and running code, so power-limited AI factories need processors that serve many agents without slowing each one down. Vera, it says, spares operators from combining fast and dense x86 chips.

In its own comparison modeled on a 100-megawatt data center, NVIDIA claims Vera supports 1.6 times more agents per watt than the fastest x86 CPU, and runs agents twice as fast as the most energy-efficient x86 CPU. The post does not name the competing chips.

NVIDIA also cites results from early adopters. Perplexity reportedly ran agentic coding tasks 1.5 times faster than on traditional CPUs and plans to use Vera in an upcoming production system. DeepInfra reported up to 2.2 times the speed of the best x86 processor on agent orchestration, while Modal saw up to double the sandbox throughput per core. Daytona brought 1,000 agent sandboxes online in 10.8 seconds, compared with 88.4 seconds on x86. ClickHouse said its untuned standard binary scaled nearly linearly across 176 cores and topped the ClickBench hardware leaderboard, and DuckLabs recorded about 1.5 times the median TPC-H SF1000 performance of an Intel Xeon 6 baseline.

The figures come from NVIDIA and its partners rather than independent testing, but they show how central CPUs have become to the company's agentic AI strategy.