Nvidia launches Vera CPU as Scale AI faces opposition

Nvidia recently unveiled a comprehensive platform for agentic and physical AI at GTC 2026, introducing the Vera CPU, Rubin GPU, DSX architecture, and the Vera Rubin platform for large-scale AI factories. Key announcements also included the BlueField-4 STX storage architecture, designed to enhance performance for agentic AI by using a storage-optimized BlueField-4 DPU and ConnectX-9 SuperNIC. Nvidia is also expanding partnerships, notably with Uber for autonomous vehicles and HPE for AI infrastructure, showcasing a broad vision from data centers to edge devices.

Several companies are integrating Nvidia's advancements and enhancing AI capabilities. Cato Networks launched Cato Neural Edge and Cato AI Security, embedding Nvidia GPUs into its global SASE network to accelerate AI analysis for real-time traffic inspection and secure AI tools. Similarly, Everpure is expanding its AI storage solutions, announced at Nvidia's GTC, with full AI data pipeline automation and performance benchmarks for FlashBlade AI hardware, emphasizing close collaboration with Nvidia.

In personnel news, Highrise AI appointed Paul Berman as its new Vice President of Cloud Sales, bringing over 20 years of experience to drive enterprise expansion for their GPU-native infrastructure. Meanwhile, the broader AI landscape sees partnerships like CrowdStrike and Nebius collaborating to provide unified security for AI cloud infrastructure, integrating CrowdStrike's Falcon platform into Nebius's AI cloud for enhanced threat detection.

However, the rapid growth of AI also presents challenges and concerns. A proposed $19.4 billion artificial intelligence data center in rural western New York faces local opposition due to significant electricity demand, potential disruption to tribal communities, and impact on the power grid. Experts also warn that AI's growing influence on politics and the economy could lead to concentrated power and exacerbate job automation without proper oversight, while the UK government is focusing on retaining talent in quantum computing, learning from the AI race.

Key Takeaways

  • Nvidia introduced a comprehensive platform for agentic and physical AI at GTC 2026, including Vera CPU, Rubin GPU, and the BlueField-4 STX storage architecture.
  • Cato Networks launched Cato Neural Edge and Cato AI Security, embedding Nvidia GPUs into its SASE platform for enhanced AI-driven threat detection and security.
  • Highrise AI appointed Paul Berman as Vice President of Cloud Sales to lead enterprise expansion for its GPU-native infrastructure.
  • Everpure is enhancing AI storage with new solutions, including full AI data pipeline automation, announced at Nvidia's GTC event.
  • A proposed $19.4 billion AI data center in rural western New York is facing opposition from local residents over electricity demand and environmental concerns.
  • CrowdStrike and Nebius partnered to provide unified security for AI cloud infrastructure, integrating CrowdStrike's Falcon platform.
  • The UK government is investing £1 billion in quantum computing, aiming to retain talent and avoid a brain drain similar to the AI sector.
  • AI's growing influence on politics and the economy raises concerns about concentrated power, inequality, and job automation.
  • H2O.ai is accepting nominations for its 2026 AI 100 Awards, recognizing influential leaders in artificial intelligence.
  • Nvidia is expanding partnerships with companies like Uber for autonomous vehicles and HPE for AI infrastructure.

Cato Networks launches AI security and Neural Edge for enterprise workloads

Cato Networks has released two new offerings, Cato Neural Edge and Cato AI Security, to protect enterprise AI workloads. Cato Neural Edge uses Nvidia GPUs within its global network to speed up AI analysis for real-time traffic inspection and threat detection. Cato AI Security uses AI to manage and protect AI tools, homegrown applications, and autonomous agents. These new features are designed to provide strong AI-driven defense without slowing down performance or adding complexity.

Cato Networks adds AI security to GPU-powered SASE platform

Cato Networks has introduced Cato Neural Edge and Cato AI Security to its Secure Access Service Edge (SASE) platform. Cato Neural Edge embeds Nvidia GPUs into its global network points of presence, allowing for faster AI-driven traffic analysis and threat detection. Cato AI Security offers unified control over how employees use AI tools and secures AI applications. This integration aims to provide robust security for businesses adopting AI without compromising performance.

Cato integrates GPUs into SASE for large-scale AI security

Cato Networks is enhancing its SASE platform by embedding NVIDIA GPUs into its global network. This move, called Cato Neural Edge, allows AI analysis and security enforcement to happen directly within the network, improving performance and reducing latency. Cato is also launching Cato AI Security to manage employee use of AI tools and secure AI applications. These updates address the growing need for robust security as AI becomes more integrated into business operations.

Nvidia unveils BlueField-4 STX for agentic AI storage

Nvidia has launched the BlueField-4 STX storage architecture at GTC 2026, designed to improve performance for agentic AI. This new system uses a storage-optimized BlueField-4 DPU and ConnectX-9 SuperNIC to boost token throughput and energy efficiency. It addresses challenges with managing large AI context windows by bypassing the host CPU for faster data access. Several cloud providers are planning to adopt this technology early.

Nvidia expands AI vision with agentic and physical AI at GTC 2026

At GTC 2026, Nvidia introduced a comprehensive platform for agentic and physical AI, covering data centers to edge devices. Key announcements include the Vera CPU, Rubin GPU, DSX architecture, and the Vera Rubin platform for large-scale AI factories. Nvidia also revealed new partnerships with Uber for autonomous vehicles and HPE for AI infrastructure. New AI models and physical AI data solutions were also presented.

Highrise AI hires Paul Berman for cloud sales leadership

Highrise AI has appointed Paul Berman as its new Vice President of Cloud Sales to drive enterprise expansion. Berman brings over 20 years of experience in enterprise technology sales and scaling revenue for growing companies. He will lead efforts to support businesses deploying large-scale AI systems on Highrise's GPU-native infrastructure platform. Highrise AI focuses on providing dedicated GPU infrastructure for production-scale AI workloads.

AI's growing influence on politics and the economy

Artificial intelligence is increasingly impacting politics and the economy, raising concerns about concentrated power and inequality. The rapid advancement of AI, driven by major tech companies, could potentially shift control away from democratic processes. Experts warn that AI may exacerbate job automation without creating new opportunities, and without proper oversight, private corporations could gain significant influence. Decisions made by lawmakers and industry leaders will shape AI's future impact.

Everpure enhances AI storage with new offerings at GTC

Everpure is expanding its AI capabilities with new solutions announced at Nvidia's GTC event. These include full AI data pipeline automation, performance benchmarks for FlashBlade AI hardware, and SLA-driven storage provisioning similar to public clouds. Everpure's Enterprise Data Cloud for AI aims to provide reliable, high-performance storage for various AI stages like training, inference, and agent use. The company highlighted close collaboration with Nvidia on certifications and performance.

UK minister urges focus on quantum computing talent

UK minister Liz Kendall stressed the importance of learning from the AI race to retain talent in quantum computing. The government announced £1 billion in funding to support the design of large-scale quantum computers. Kendall expressed concern that brilliant scientists and startups might leave the UK for better opportunities elsewhere, similar to what happened in AI. The goal is to position the UK as a leader in quantum technology and secure future jobs and security.

CrowdStrike and Nebius partner for AI cloud infrastructure security

CrowdStrike and Nebius are partnering to provide unified security for AI cloud infrastructure. CrowdStrike's Falcon platform will be integrated into Nebius's AI cloud, offering enhanced visibility and AI-powered threat detection. This collaboration allows organizations to scale AI workloads on Nebius's high-performance infrastructure without compromising their existing security measures. The partnership aims to secure AI wherever it runs, from training to inference.

H2O.ai opens nominations for 2026 AI 100 Awards

H2O.ai is now accepting nominations for its 2026 AI 100 Awards, which recognize 100 influential leaders in artificial intelligence globally. The awards celebrate individuals driving innovation, leadership, and real-world impact in AI. Nominations are open from March 17 to May 15, 2026, and will be evaluated by a committee of AI experts. H2O.ai aims to highlight the diverse talent shaping the future of AI responsibly.

Rural New Yorkers oppose proposed AI data center

A proposal for a large $19.4 billion artificial intelligence data center in rural western New York is facing opposition from local residents. Critics are concerned about the project's significant electricity demand, potential disruption to nearby tribal communities and wildlife refuges, and the impact on the power grid and utility rates. The proposed site is located near the Tonawanda Seneca Nation reservation and the Iroquois National Wildlife Refuge.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Security Cato Networks SASE Nvidia GPUs Neural Edge AI Workloads Threat Detection Enterprise AI Agentic AI AI Storage Nvidia GTC 2026 BlueField-4 STX DPU SuperNIC Token Throughput Energy Efficiency AI Factories Physical AI Highrise AI GPU Infrastructure Cloud Sales AI Impact Politics Economy AI Data Center Everpure FlashBlade AI Enterprise Data Cloud Quantum Computing Talent Retention UK Government CrowdStrike Nebius Cloud Infrastructure Security AI Cloud H2O.ai AI 100 Awards AI Innovation Data Center Opposition Electricity Demand Tribal Communities Wildlife Refuges

Comments

Loading...