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European providers adopt NVIDIA Vera CPUs for agent infrastructure

Original title: European Leaders Turn to NVIDIA Vera CPUs to Build Local Infrastructure

NVIDIA Blogby Hannah Coutand ()2 min read
Part of a story covered by 2 sourcesPartners build agentic computing capacity on NVIDIA Vera CPUsMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

Nebius, Nscale and Verda are building on Vera, with server makers and agent-sandbox vendors also named.

NVIDIA says European and global partners are using its Vera CPU for agentic computing, where agents retrieve data, run tools, execute code and check results. AI cloud providers Nebius, Nscale and Verda, plus sovereign provider Aleria, are building capacity around Vera alongside GPUs. Server makers including Bull, Dell Technologies, HPE, Lenovo and Supermicro are offering Vera systems, and data, developer and sandbox companies report early adoption or testing.

Unconfirmed: Performance claims are from NVIDIA and partners’ early testing, not independent benchmarks.

Key facts
  • ClickHouse, Cloudera, SAP and others reported strong early results on analytical and ETL workloads.
  • Atlassian is looking at Vera for semantic-search index processing.
  • Nous Research uses Vera to authenticate agent identities and validate actions.
  • Sandbox providers including Vercel, Modal and Daytona are building agent execution on Vera.
  • NVIDIA cites per-core performance, LPDDR5X bandwidth and its Scalable Coherency Fabric.
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From the original article

2 min read at blogs.nvidia.com

Nebius and Nscale are among global technology partners looking to NVIDIA Vera CPUs 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.

NVIDIA Blog

By Hannah Coutand · blogs.nvidia.com

Read the full article at NVIDIA Blog

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.