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

- Company: NVIDIA (nvidia.com)
- Announced: 2026-11-05T20:00:41+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://blogs.nvidia.com/blog/vera-cpu-highest-throughput-fastest-agents/
- Record: https://forck.live/items/32310-vera-delivers-the-best-of-both-worlds-highest-throughput-and-fastest-agents
- Subject: AI platform

NVIDIA is positioning its Vera CPU as a single processor that delivers both fast agent performance and high capacity per watt, aimed at AI factories that are power limited. In a 100-megawatt data center comparison, NVIDIA says a single Vera CPU performs better than both the fastest x86 CPU and the most energy-efficient x86 CPU. NVIDIA claims Vera enables 1.6x more agents per watt than the fastest x86 CPU and delivers 2x faster agent speed with leading energy efficiency versus the most energy-efficient x86 CPU. Early adopters report production-style results: Perplexity ran agentic coding tasks 1.5x faster and plans to deploy Vera in an upcoming production system, while DeepInfra delivered up to 2.2x the speed of the best x86 processor on agentic orchestration. ClickHouse says its standard binary, with no Vera-specific tuning, scaled near-linearly across 176 cores and topped the ClickBench hardware leaderboard, and DuckLabs achieved about 1.5x the median TPC-H SF1000 performance of an Intel Xeon 6 baseline. Daytona brought 1,000 agent sandboxes online in 10.8 seconds and reached 12.7 completed jobs per second at 2,000 concurrent sandboxes, against 88.4 seconds with x86, while Modal achieved up to 2x sandbox throughput per core versus comparable x86 hardware.

## Evidence

Verbatim from https://blogs.nvidia.com/blog/vera-cpu-highest-throughput-fastest-agents/:

> AI agents do more than generate answers. They search for information, query databases, write and test code and take action.
> 
> Each of those steps relies on a CPU, with agents moving between GPU reasoning and CPU execution throughout a task.
> 
> As businesses put more agents to work, AI factories need CPUs that can execute those steps quickly and support many agents at once, all within the limits of available power.
> 
> What this means: AI infrastructure providers need to support more agents without making each one wait longer to get work done. And critically, AI factories are power limited. This means operators need to choose infrastructure that maximizes the work done for every watt.
> 
> Why it matters: NVIDIA Vera delivers both fast agent performance and high capacity per watt within a single CPU. That gives providers one CPU for a range of agent workloads, rather than having to mix and match fast and dense x86 parts to balance speed and capacity.
> 
> The data that proves it: In a 100-megawatt data center comparison, NVIDIA found that a single Vera CPU performs better than the fastest x86 CPU and the most energy-efficient x86 CPU.

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