European Leaders Turn to NVIDIA Vera CPUs to Build Local Infrastructure
Summary
European AI cloud providers and server manufacturers are adopting NVIDIA's Vera CPUs to build local, sovereign AI infrastructure optimized for agentic workloads, with early adopters reporting strong performance across data processing, analytics, and agent sandbox environments.
<div id="bsf_rt_marker"></div><p><span style="font-weight: 400;">Nebius</span> <span style="font-weight: 400;">and </span><span style="font-weight: 400;">Nscale</span><span style="font-weight: 400;"> are among global technology partners looking to </span><a target="_blank" href="https://nvidianews.nvidia.com/news/nvidia-unveils-vera-the-cpu-for-agents"><span style="font-weight: 400;">NVIDIA Vera CPUs</span></a><span style="font-weight: 400;"> to build the next wave of infrastructure.</span></p>
<p><span style="font-weight: 400;">Their momentum reflects rapid advancements in agentic computing. </span></p>
<p><span style="font-weight: 400;">Agents do more than generate answers: they retrieve information, run software tools, execute code and evaluate results. Each step depends on fast CPU processing. </span></p>
<p><span style="font-weight: 400;">Vera accelerates that work, helping agents respond faster and enabling data centers to make better use of computing capacity. Vera is </span><a href="https://blogs.nvidia.com/blog/nvidia-vera-max-single-threaded-cpu-at-scale/"><span style="font-weight: 400;">designed to sustain that speed</span></a><span style="font-weight: 400;"> even when running thousands of tasks simultaneously, helping organizations expand services without trading responsiveness for scale.</span></p>
<div style="margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;"><a style="display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;" href="https://blogs.nvidia.com/gtc-berlin-2026-news/">Read All NVIDIA in Europe Announcements</a></div>
<p> </p>
<h2><b>Building Europe’s Computing Capacity</b></h2>
<p><span style="font-weight: 400;">AI cloud providers </span><span style="font-weight: 400;">Nebius</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Nscale</span><span style="font-weight: 400;"> and </span><span style="font-weight: 400;">Verda</span> <span style="font-weight: 400;">are building with Vera to support the growing computing needs of businesses and developers. High-performance, energy-efficient CPUs help these providers scale the data processing and software execution behind services, alongside the GPUs running models.</span></p>
<p><span style="font-weight: 400;">The broader sovereign AI ecosystem also includes </span><span style="font-weight: 400;">Aleria</span><span style="font-weight: 400;">, a sovereign AI infrastructure and platform provider, supporting demand for infrastructure that keeps data and operations under customers’ control.</span></p>
<h2><b>More Ways to Put Vera to Work</b></h2>
<p><span style="font-weight: 400;">Server manufacturers </span><span style="font-weight: 400;">Bull</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Dell Technologies</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">HPE</span><span style="font-weight: 400;">, </span><a target="_blank" href="https://news.lenovo.com/europes-ai-moment-gtc-berlin-26"><span style="font-weight: 400;">Lenovo</span></a> <span style="font-weight: 400;">and </span><span style="font-weight: 400;">Supermicro </span><span style="font-weight: 400;">are building Vera-based systems, giving customers more deployment options for their high-performance computing and AI data centers. Vera can power standalone CPU servers or work alongside NVIDIA GPUs in accelerated systems, supporting different workloads and deployment needs.</span></p>
<p><span style="font-weight: 400;">Data processing companies</span> <a target="_blank" href="https://clickhouse.com/blog/clickhouse-performance-on-nvidia-vera"><span style="font-weight: 400;">ClickHouse</span></a><span style="font-weight: 400;">, Cloudera</span><span style="font-weight: 400;">, </span><a target="_blank" href="https://duckdb.org/2026/10/16/nvidia-vera-benchmark"><span style="font-weight: 400;">Duck Labs</span></a><span style="font-weight: 400;">,</span><span style="font-weight: 400;"> Elastic</span><span style="font-weight: 400;">, </span><a target="_blank" href="https://pola.rs/posts/nvidia_vera_benchmark/"><span style="font-weight: 400;">Polars</span></a><span style="font-weight: 400;">, </span><a target="_blank" href="https://www.redpanda.com/blog/nvidia-ai-ecosystem"><span style="font-weight: 400;">Redpanda</span></a><span style="font-weight: 400;">, </span><a target="_blank" href="https://community.sap.com/t5/technology-blog-posts-by-sap/sap-advances-safe-and-reliable-enterprise-ai-with-nvidia/ba-p/14504327"><span style="font-weight: 400;">SAP</span></a> <span style="font-weight: 400;">and </span><a target="_blank" href="http://starburst.io/press-release/starburst-introduces-torin-gpu-native-analytics-engine-built-on-nvidia-cudf"><span style="font-weight: 400;">Starburst</span></a> <span style="font-weight: 400;">observed strong results on Vera for analytical, extract-transform-and-load and semantic search workloads in early testing. Vera’s per-core performance, LPDDR5X memory bandwidth and NVIDIA Scalable Coherency Fabric help achieve performance gains across the board.</span></p>
<p><span style="font-weight: 400;">Software and developer-platform companies</span><span style="font-weight: 400;"> Atlassian, Inherent </span><span style="font-weight: 400;">and</span> <span style="font-weight: 400;">Nous Research </span><span style="font-weight: 400;">are adopting Vera for environments where AI agents work alongside developers and researchers. </span><span style="font-weight: 400;">Atlassian </span><span style="font-weight: 400;">is looking to Vera to accelerate the data processing that builds semantic search indexes for its AI-powered products; </span><span style="font-weight: 400;">Inherent </span><span style="font-weight: 400;">has tested Vera and is looking to adopt it for environments where AI agents work alongside engineers on novel scientific research; and </span><span style="font-weight: 400;">Nous Research </span><span style="font-weight: 400;">uses Vera to authenticate agent identities and validate every action before it executes, keeping deployments secure as agent fleets grow. </span></p>
<p><span style="font-weight: 400;">Baseten-Blaxel</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Daytona, E2B, Modal, Prime Intellect</span> <span style="font-weight: 400;">and </span><span style="font-weight: 400;">Vercel </span><span style="font-weight: 400;">provide cloud-based sandboxes, which serve as computers for AI agents, and are building on Vera to power the infrastructure agents depend on to execute code, run tools and test results. </span></p>
<p><span style="font-weight: 400;">Every agent needs a secure, isolated sandbox that can be provisioned instantly, and because sandboxes spin up millions of times a day, the speed of each individual startup cycle compounds at scale. Vera’s fast per-core performance and high-bandwidth memory make it well suited to this pattern, giving sandbox providers the throughput not only to spin up sandboxes but to run agentic workloads at maximum scale without interruption.</span></p>
<p><i><span style="font-weight: 400;">Learn more about the </span></i><a target="_blank" href="https://www.nvidia.com/en-us/data-center/vera-cpu/"><i><span style="font-weight: 400;">NVIDIA Vera CPU</span></i></a><i><span style="font-weight: 400;">. </span></i></p>
<div style="margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;"><a style="display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;" href="https://blogs.nvidia.com/gtc-berlin-2026-news/">Read All NVIDIA in Europe Announcements</a></div>
<p> </p>
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# European Leaders Turn to NVIDIA Vera CPUs to Build Local Infrastructure
Source: [https://blogs.nvidia.com/blog/european-leaders-vera-cpu-infrastructure/](https://blogs.nvidia.com/blog/european-leaders-vera-cpu-infrastructure/)
NebiusandNscaleare among global technology partners looking to[NVIDIA Vera CPUs](https://nvidianews.nvidia.com/news/nvidia-unveils-vera-the-cpu-for-agents)to build the next wave of infrastructure\.
Their momentum reflects rapid advancements in agentic computing\.
Agents do more than generate answers: they retrieve information, run software tools, execute code and evaluate results\. Each step depends on fast CPU processing\.
Vera accelerates that work, helping agents respond faster and enabling data centers to make better use of computing capacity\. Vera is[designed to sustain that speed](https://blogs.nvidia.com/blog/nvidia-vera-max-single-threaded-cpu-at-scale/)even when running thousands of tasks simultaneously, helping organizations expand services without trading responsiveness for scale\.
## **Building Europe’s Computing Capacity**
AI cloud providersNebius,NscaleandVerdaare building with Vera to support the growing computing needs of businesses and developers\. High\-performance, energy\-efficient CPUs help these providers scale the data processing and software execution behind services, alongside the GPUs running models\.
The broader sovereign AI ecosystem also includesAleria, a sovereign AI infrastructure and platform provider, supporting demand for infrastructure that keeps data and operations under customers’ control\.
## **More Ways to Put Vera to Work**
Server manufacturersBull,Dell Technologies,HPE,[Lenovo](https://news.lenovo.com/europes-ai-moment-gtc-berlin-26)andSupermicroare building Vera\-based systems, giving customers more deployment options for their high\-performance computing and AI data centers\. Vera can power standalone CPU servers or work alongside NVIDIA GPUs in accelerated systems, supporting different workloads and deployment needs\.
Data processing companies[ClickHouse](https://clickhouse.com/blog/clickhouse-performance-on-nvidia-vera), Cloudera,[Duck Labs](https://duckdb.org/2026/10/16/nvidia-vera-benchmark),Elastic,[Polars](https://pola.rs/posts/nvidia_vera_benchmark/),[Redpanda](https://www.redpanda.com/blog/nvidia-ai-ecosystem),[SAP](https://community.sap.com/t5/technology-blog-posts-by-sap/sap-advances-safe-and-reliable-enterprise-ai-with-nvidia/ba-p/14504327)and[Starburst](http://starburst.io/press-release/starburst-introduces-torin-gpu-native-analytics-engine-built-on-nvidia-cudf)observed strong results on Vera for analytical, extract\-transform\-and\-load and semantic search workloads in early testing\. Vera’s per\-core performance, LPDDR5X memory bandwidth and NVIDIA Scalable Coherency Fabric help achieve performance gains across the board\.
Software and developer\-platform companiesAtlassian, InherentandNous Researchare adopting Vera for environments where AI agents work alongside developers and researchers\.Atlassianis looking to Vera to accelerate the data processing that builds semantic search indexes for its AI\-powered products;Inherenthas tested Vera and is looking to adopt it for environments where AI agents work alongside engineers on novel scientific research; andNous Researchuses Vera to authenticate agent identities and validate every action before it executes, keeping deployments secure as agent fleets grow\.
Baseten\-Blaxel,Daytona, E2B, Modal, Prime IntellectandVercelprovide cloud\-based sandboxes, which serve as computers for AI agents, and are building on Vera to power the infrastructure agents depend on to execute code, run tools and test results\.
Every agent needs a secure, isolated sandbox that can be provisioned instantly, and because sandboxes spin up millions of times a day, the speed of each individual startup cycle compounds at scale\. Vera’s fast per\-core performance and high\-bandwidth memory make it well suited to this pattern, giving sandbox providers the throughput not only to spin up sandboxes but to run agentic workloads at maximum scale without interruption\.
*Learn more about the*[*NVIDIA Vera CPU*](https://www.nvidia.com/en-us/data-center/vera-cpu/)*\.*
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