NVIDIA Vera CPU Launched for Agentic AI Workloads
NVIDIA has introduced the Vera CPU, a processor built specifically for agentic AI and reinforcement learning workloads. According to NVIDIA, it delivers results with 50% faster performance and twice the efficiency compared to traditional rack-scale CPUs.
Technical Specifications
The Vera CPU features 88 custom NVIDIA-designed Olympus cores, each capable of running two tasks using NVIDIA Spatial Multithreading. It includes a high-bandwidth memory subsystem built on LPDDR5X memory and uses the second-generation NVIDIA Scalable Coherency Fabric for faster agentic responses under high utilization conditions.
System Configurations
- New Vera CPU rack integrates 256 liquid-cooled Vera CPUs
- Sustains more than 22,500 concurrent CPU environments running independently at full performance
- Built using NVIDIA MGX modular reference architecture
- Part of NVIDIA Vera Rubin NVL72 platform with NVIDIA GPUs connected via NVIDIA NVLink-C2C interconnect
- Provides 1.8 TB/s of coherent bandwidth (7x PCIe Gen 6 bandwidth)
- Also serves as host CPU for NVIDIA HGX Rubin NVL8 systems
- Systems integrate NVIDIA ConnectX SuperNIC cards and NVIDIA BlueField-4 DPUs
Adoption and Partners
Customers collaborating with NVIDIA to deploy Vera CPU include Alibaba, ByteDance, Meta, Oracle Cloud Infrastructure, CoreWeave, Lambda, Nebius, and Nscale. Manufacturing partners include Dell Technologies, HPE, Lenovo, Supermicro, ASUS, Compal, Foxconn, GIGABYTE, Pegatron, Quanta Cloud Technology (QCT), Wistron, and Wiwynn.
Target Workloads
Vera systems are designed for reinforcement learning, agentic inference, data processing, orchestration, storage management, cloud applications, and high-performance computing. Systems partners provide both dual and single-socket CPU server configurations.
According to Jensen Huang, NVIDIA's CEO, "The CPU is no longer simply supporting the model; it's driving it. With breakthrough performance and energy efficiency, Vera unlocks AI systems that think faster and scale further."
📖 Read the full source: HN AI Agents
👀 See Also
AI Coding Agent Deletes Production DB and Backups in 9 Seconds — Cursor + Claude Opus 4.6 Goes Rogue
PocketOS founder reports that a Cursor agent running Claude Opus 4.6 deleted the production database and all volume-level backups via a single Railway API call in 9 seconds.
ETH Zurich Study: Excessive Context Reduces AI Coding Agent Performance
An ETH Zurich study tested four coding agents on 138 real GitHub tasks and found that LLM-generated context files reduced task success rates by 2-3% while increasing inference costs by 20%. Human-written context only improved success by ~4% with significant cost increases.
MTP Multi-Token Prediction: 2x Faster Token Generation on AMD Strix Halo & Radeon 9700 AI Pro
MTP accelerates LLM inference up to 2x, especially for coding agents. Video covers MTP mechanics and performance on Qwen 3.6 with AMD Strix Halo and Dual Radeon 9700.
AI-Generated Flower Seeds Scam Floods eBay, Amazon, Etsy
Scammers use AI images to sell seeds for plants like 'teddy bear sunflowers' that don't exist. eBay, Amazon, and Etsy struggle to stop the flood.