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NVIDIA and CoreWeave Strengthen Collaboration to Accelerate AI Factory Buildout

NVIDIA and CoreWeave expand collaboration to build AI factories by 2030 using Rubin GPUs, Vera CPUs, BlueField Storage, and CoreWeave Mission Control.

NVIDIA and CoreWeave expand collaboration to build AI factories by 2030 using Rubin GPUs, Vera CPUs, BlueField Storage, and CoreWeave Mission Control.

The collaboration between NVIDIA and CoreWeave represents a major milestone in the global AI industry. As artificial intelligence workloads continue to grow exponentially, the need for high-performance infrastructure has never been greater. NVIDIA, a leader in AI and accelerated computing, and CoreWeave, a specialized cloud platform for AI, have expanded their partnership to accelerate the construction of more than 5 gigawatts of AI factories by 2030. This development is expected to significantly increase AI adoption at global scale, providing enterprises, cloud service providers (CSPs), and AI labs with cutting-edge infrastructure and software solutions, reports San Francisco Newsroom via NVIDIA.

Key Objectives of the Partnership

  • Accelerate AI factory construction using NVIDIA’s hardware and CoreWeave operational expertise
  • Leverage NVIDIA’s $2 billion investment to expedite procurement of land, power, and facilities
  • Integrate CoreWeave software such as SUNK and CoreWeave Mission Control into NVIDIA reference architectures
  • Deploy multiple generations of NVIDIA infrastructure, including Rubin platform GPUs, Vera CPUs, and BlueField storage systems

The partnership is designed to align hardware, software, and operations from the outset. By combining NVIDIA’s leading computing platforms with CoreWeave’s AI-native software, the collaboration ensures that AI factories are optimized for speed, efficiency, and scalability. This multi-pronged approach allows enterprises to run demanding AI workloads while minimizing costs and deployment risks.

NVIDIA’s Strategic Investment in CoreWeave

In January 2026, NVIDIA invested $2 billion in CoreWeave Class A common stock at $87.20 per share. This investment reflects NVIDIA’s confidence in CoreWeave’s team, business model, and growth strategy.

The capital infusion allows CoreWeave to accelerate the buildout of AI factories and acquire necessary infrastructure more rapidly. According to Jensen Huang, NVIDIA’s CEO:

“AI is entering its next frontier and driving the largest infrastructure buildout in human history. CoreWeave’s deep AI factory expertise, platform software, and unmatched execution velocity are recognized across the industry. Together, we’re racing to meet extraordinary demand for NVIDIA AI factories—the foundation of the AI industrial revolution.”

This demonstrates how NVIDIA is not just a hardware provider but a strategic partner in expanding AI infrastructure globally.

Technologies and Platforms in Use

TechnologyPurposeBenefits
Rubin Platform GPUsAccelerated AI computingHigh throughput for training and inference
Vera CPUsHigh-performance CPU computingOptimized for AI-native workloads
BlueField Storage SystemsHigh-speed data storageLow-latency access for AI workloads
CoreWeave Mission ControlSoftware for AI factory managementStreamlines operations and monitoring
SUNKAI-native platform softwareEnhances interoperability with NVIDIA infrastructure

Deploying multiple generations of these platforms ensures that CoreWeave AI factories remain cutting-edge. Early adoption of NVIDIA architectures allows for performance optimization and seamless integration with enterprise workloads. By combining specialized hardware with advanced software, the collaboration supports AI workloads from pre-training to post-training inference.

Scale and Deployment of AI Factories

  • 5+ gigawatts of AI factories planned by 2030
  • Global expansion to meet AI demand for enterprises and CSPs
  • Energy-efficient design for large-scale AI infrastructure
  • Software-defined operational control for monitoring and optimization

These AI factories are purpose-built for large-scale AI operations. By incorporating energy-efficient designs, NVIDIA and CoreWeave aim to reduce operational costs while maximizing computational output. The deployment strategy prioritizes flexibility, allowing AI factories to adapt to evolving AI workloads and technology generations over the next decade.

CoreWeave Software and Interoperability

  • CoreWeave Mission Control for centralized operations
  • SUNK for AI-native performance optimization
  • Integration into NVIDIA reference architectures
  • Testing and validation for CSP and enterprise workloads

CoreWeave’s software ecosystem ensures that enterprises and CSPs can operate AI workloads efficiently and reliably at scal. The integration with NVIDIA’s reference architectures guarantees compatibility with various AI frameworks, reducing the complexity of large-scale deployment. This combination of software and hardware accelerates innovation and adoption across industries.

Impact on Global AI Adoption

  • Accelerates enterprise AI projects worldwide
  • Provides CSPs with ready-to-deploy AI infrastructure
  • Reduces barriers for AI startups and labs to access high-performance computing
  • Sets a new benchmark for AI factory design and operational efficiency

The NVIDIA-CoreWeave collaboration is expected to reshape the AI infrastructure landscap, enabling organizations to run sophisticated AI models that were previously constrained by computing limitations. This scale of deployment ensures that AI adoption can keep pace with rapidly growing demand across sectors such as healthcare, autonomous systems, finance, and research.

Quotes from Leadership

“From the very beginning, our collaboration has been guided by a simple conviction: AI succeeds when software, infrastructure, and operations are designed together,” said Michael Intrator, CEO of CoreWeave.

“NVIDIA is the leading and most requested computing platform at every phase of AI—from pre-training to post-training inference,” he added, highlighting the strategic importance of hardware-software co-design.

The expanded collaboration between NVIDIA and CoreWeave underscores the rapid evolution and industrialization of AI. By combining NVIDIA’s hardware and financial strength with CoreWeave’s operational expertise and software platforms, the partnership will accelerate AI adoption on a global scale. The 5+ gigawatts AI factories planned by 2030 mark a transformative step toward building the infrastructure backbone of the AI industrial revolution.

San Francisco News keeps the city, the Bay Area and the wider world informed with clear, useful reporting on what matters: Microsoft Outlook and Teams Down in San Francisco: Thousands of Users Affected