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CoreWeave

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www.coreweave.com

AI-native cloud platform powering pioneers' most complex AI workloads.

Overview

CoreWeave provides an AI-native cloud platform that combines an integrated set of technology, tools, and teams to power pioneers' most complex AI workloads. With global AI data centers, it enables scalable, high-performance compute, storage, and orchestration for AI research, development, and production, while emphasizing observability, security, and cost control.

Mission statement

To empower AI innovation by providing a purpose-built, AI-native cloud infrastructure that enables scalable, reliable, and observable AI workloads.

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What we offer

CoreWeave Cloud Platform

Empowers organizations to scale AI workloads efficiently with robust performance and integrated tools.

www.coreweave.com/platform

NVIDIA Vera Rubin

Harness Cutting-Edge AI Performance With NVIDIA Vera Rubin's Rack-Scale Compute Capabilities.

www.coreweave.com/products/nvidia-vera-rubin

NVIDIA Blackwell

Unlocks up to 30x faster real-time LLM performance for advanced AI applications.

www.coreweave.com/products/nvidia-blackwell

NVIDIA Hopper

Delivers Superior Performance and Scalability for AI Workloads.

www.coreweave.com/products/hgx-h100-h200

NVIDIA Ada Lovelace

Accelerate AI and machine learning workloads with the NVIDIA Ada Lovelace GPU.

www.coreweave.com/products/gpu-compute#additional-gpu-skus

CPU Compute

Enhance AI workloads with powerful and flexible CPU instances.

www.coreweave.com/products/cpu-compute

Bare Metal Servers

Achieve Maximum Performance For AI Workloads With Direct Access To Resources.

www.coreweave.com/products/bare-metal

CoreWeave Managed Kubernetes

Service

Accelerate AI application deployment with CoreWeave's fully managed Kubernetes service.

www.coreweave.com/products/coreweave-kubernetes-service

SUNK

Accelerate AI workloads with SUNK's unified training system ensuring reliability and predictability.

www.coreweave.com/products/sunk

SUNK Anywhere

Accelerate AI workloads seamlessly across various infrastructures.

www.coreweave.com/products/sunk/sunk-anywhere

Serverless RL

Enable Fast, Scalable AI Workloads Without Infrastructure Management.

wandb.ai/site/serverless-rl/

Serverless Inference

Easily build low-latency AI applications without managing infrastructure.

www.coreweave.com/products/serverless-inference

Dedicated Inference

Achieve scalable AI inference with controlled performance and cost predictability.

www.coreweave.com/products/dedicated-inference

CoreWeave Sandbox

Accelerate training and evaluation of AI agents in a unified sandbox environment.

www.coreweave.com/coreweave-sandboxes

CoreWeave ARENA

Service

Validate AI performance and cost with CoreWeave ARENA before production.

www.coreweave.com/coreweave-arena

Tensorizer

Streamline AI inference workloads with Tensorizer for faster and more efficient processing.

www.coreweave.com/solutions/ai-inference#tensorizer

Mission Control

Service

Ensure reliable AI operations through comprehensive observability and automation.

www.coreweave.com/mission-control

NVIDIA Quantum InfiniBand Cluster Networking

Service

Maximize AI cluster performance with industry-leading NVIDIA Quantum InfiniBand networking.

www.coreweave.com/products/networking

AI Object Storage

Empowers AI applications with scalable, high-performance object storage optimized for rapid data retrieval.

www.coreweave.com/products/storage#object-storage

Distributed File Storage

Empower AI workloads with rapid and reliable data access.

www.coreweave.com/products/storage#distributed-file-storage

Dedicated VAST Storage

Exclusive, high-performance storage built for specialized AI workloads.

www.coreweave.com/products/storage/dedicated-vast-storage

Local Storage

Streamline AI workloads with reliable local storage.

www.coreweave.com/products/storage#local-storage

CoreWeave Zero Egress Migration (0EM)

Enable seamless data migration to CoreWeave with zero egress fees and expert transfers.

www.coreweave.com/products/storage/zero-egress-migration-program

CoreWeave Managed Kubernetes Service

Service

Streamline your AI workloads with CoreWeave's fully managed Kubernetes service for maximum efficiency.

www.coreweave.com/products/coreweave-kubernetes-service

Who do we serve

AI Research And Development Teams

Global AI research teams needing rapid experimentation and validation at scale.

TechnologyAI researchHigh-Performance Computing

AI Production And MLOps Teams

Enterprise AI teams deploying and operating production-scale models.

TechnologyEnterprise ITAI operations

AI Data Platform Teams

Data platform teams ensuring scalable, reliable AI data infrastructure.

TechnologyData PlatformsHPC

Market segments

Market size by segment

Growth potential (CAGR)

GPU cloud infrastructure

30 Billion USD30% CAGR

High-performance, bare-metal GPU compute and interconnects optimized for large-scale model training and megaclusters.

Unified training orchestration

1.5 Billion USD15% CAGR

Systems and runtime orchestration that provide reliable scheduling, observability, and operational controls for long-running, large-scale AI training.

High-throughput storage for AI and HPC

4 Billion USD20% CAGR

Engineered object storage with high throughput, dedicated networking, and predictable pricing to support GPU training, inference, and HPC workloads at scale.

Managed Kubernetes for AI

1.98 Billion USD32.5% CAGR

Managed Kubernetes on bare metal providing preconfigured AI clusters, cost predictability, and deep integration with AI workflows.

Managed model inference and serving

23.4 Billion USD26.8% CAGR

Managed hosting and serving of models with autoscaling endpoints, OpenAI-compatible APIs, batch inference pricing, and configurable serving modes to balance latency and throughput for production deployments.

More information about our offering

CoreWeave Cloud Platform

CoreWeave Cloud Platform is an AI-native platform of technology, tools, and teams, fully integrated to power pioneers' most complex workloads.

  • Delivers Unified AI Solutions
    Combines advanced tools, teams, and technology into a single integrated framework, optimizing the entire AI development lifecycle.
  • Accelerates High-Performance Projects
    Designed to handle the most demanding AI tasks, providing the computational power and flexibility needed for high-throughput scenarios.
  • Supports AI Deployments Worldwide
    CoreWeave’s extensive network ensures that AI projects can scale globally, enabling low-latency and high-performance access to data and resources.
  • Eliminates Migration Fees
    Facilitates efficient data transfer to the CoreWeave platform, removing financial and technical barriers typically associated with data transfer.
  • Enables Efficient Workload Orchestration
    Gives users control over model deployment and scaling, optimizing resource allocation for various AI applications.

NVIDIA Vera Rubin

NVIDIA Vera Rubin is NVIDIA's most advanced rack-scale AI compute system, built for the age of agentic AI and reasoning, offering enhanced performance and high scalability across AI workloads.

  • Empowers High-Performance AI Workloads
    The NVIDIA Vera Rubin GPU accelerator is specifically designed to handle complex AI workloads, providing unparalleled performance and efficiency for both training and inference tasks, thus facilitating breakthroughs in AI.
  • Supports Advanced Inference Workloads
    Engineered for the demanding needs of agentic AI, NVIDIA Vera Rubin provides the necessary tools and capabilities to execute complex reasoning tasks efficiently.
  • Facilitates Scalable AI Deployment
    By being part of the CoreWeave ecosystem, NVIDIA Vera Rubin allows for simplified deployment and scaling of AI applications in a fully managed, high-performance cloud environment.

NVIDIA Blackwell

NVIDIA Blackwell GPU accelerator offered in CoreWeave's GPU Compute lineup, designed to enhance high-performance computing and deliver exceptional performance for AI workloads.

  • Accelerates AI Workloads Significantly
    NVIDIA Blackwell GPUs provide up to 30 times faster performance in real-time large language model (LLM) tasks compared to previous architectures, empowering users to deploy complex AI solutions more efficiently.
  • Enhances Communication Speed
    With full line-rate networking, Blackwell enables swift data transfer across multiple GPUs, reducing latency and improving overall computational efficiency.
  • Facilitates Large Model Training
    The Blackwell architecture allows for the execution of expansive AI models with increased memory capability, expanding operational effectiveness and resource utilization.

NVIDIA Hopper

NVIDIA Hopper GPU accelerator offered in CoreWeave's GPU Compute lineup, enabling advanced AI workloads with superior performance and scalability.

  • Achieves Up To 4X Higher Training Performance
    NVIDIA Hopper's architecture enables significantly increased computational efficiency for large-scale AI training, optimizing costs and reducing time-to-insight.
  • Enables Real-Time Inference
    Utilizing advanced technology, the Hopper architecture supports high-throughput inference for complex AI models, providing instant results at scale.
  • Accommodates Hundreds Of Thousands Of GPUs
    NVIDIA Hopper's design allows seamless scaling for demanding AI tasks, making it ideal for enterprises looking to grow their AI capabilities.
  • Maximizes Data Throughput
    Hopper's memory architecture ensures efficient processing of vast datasets, optimizing the performance of AI models and research.

NVIDIA Ada Lovelace

NVIDIA Ada Lovelace GPU accelerator offered in CoreWeave's GPU Compute lineup. This GPU is purpose-built for complex AI workloads, providing exceptional performance and efficiency.

  • Delivers Unmatched Performance
    The NVIDIA Ada Lovelace GPU excels in training and inference tasks, optimizing workflows for AI applications.
  • Enhances Speed and Efficiency
    Maximizes throughput and minimizes latency for real-time AI applications and large-scale data processing.
  • Effortless Scaling
    Easily expands capacity to handle increased demand and complex projects without performance degradation.

CPU Compute

Versatile CPU instances to support AI workloads, with Grace CPUs and the latest AMD EPYC and Intel Xeon generations.

  • Leverage Grace CPU Technology
    Integrate NVIDIA's Grace CPU technology for enhanced computational efficiency tailored for AI applications.
  • Utilize High-Performance CPUs
    Harness the capabilities of advanced AMD EPYC CPUs for superior performance in compute-intensive tasks.
  • Access Cutting-Edge Intel CPUs
    Utilize the latest Intel Xeon processors for versatile capabilities across AI computing tasks.

Bare Metal Servers

Dedicated physical servers for high-performance AI workloads. The vast majority of GenAI workloads require direct access to servers without virtualization for optimal performance and low latency.

  • Maximize Performance.
    Get the performance advantages of direct access to dedicated hardware, eliminating virtualization layers that can hinder performance.
  • Enhance Observability.
    By removing the hypervisor layer, gain better observability into workloads and improve the management of AI applications.
  • Achieve Faster Training.
    Designed for the most demanding GenAI workloads, enabling quicker model training and enhanced reliability.

CoreWeave Managed Kubernetes

CoreWeave offers a fully managed Kubernetes service designed to streamline the deployment and management of AI workloads on bare metal infrastructure, ensuring optimal performance and scalability.

  • Maximize Performance and Reliability
    By removing the hypervisor layer, the service delivers lower latency and better observability, ensuring optimal performance for demanding AI workloads.
  • Streamline AI Operations
    Every part of the service enhances generative AI performance, making it ideal for research and production.
  • Enable Faster Deployment
    Users can quickly get productive with a unified training system without spending countless hours managing configurations.
  • Control Overall Costs
    Users can plan budgets effectively, minimizing surprises in resource consumption during AI workloads.

SUNK

The industry's first unified training system for the most demanding AI workloads—delivering production-grade reliability and operational visibility for large, long-running training jobs.

  • Redefine AI Training Clusters
    Unifies the complexities of scheduling and operational visibility, ensuring reliability during long-running AI training jobs.
  • Ensure Predictability
    Allows research teams to monitor and adjust their workflows efficiently, minimizing disruptions.
  • Maximize Resource Utilization
    Enables users to achieve superior performance and efficiency, supporting longer training runs without interruptions.
  • Scale Flexibly
    Facilitates seamless operations across diverse environments while maintaining unified workflows.

SUNK Anywhere

SUNK Anywhere extends the industry’s first unified training system beyond CoreWeave, helping teams accelerate and scale demanding AI workloads anywhere they have infrastructure.

  • Simplify Collaboration Across Teams
    With SUNK Anywhere, teams can maintain a consistent training experience, reducing complexity while promoting a harmonious working environment even across various service providers.
  • Enhance Performance Consistency
    SUNK Anywhere provides runtime acceleration, allowing users to execute complex AI workloads quickly and efficiently, regardless of the underlying infrastructure.
  • Adapt to Any Infrastructure
    SUNK Anywhere allows teams to leverage their existing infrastructure while ensuring they have the capabilities required for demanding AI tasks, minimizing setup time.

Serverless RL

Serverless reinforcement learning for AI workloads, offering instant access to high-performance compute without infrastructure overhead.

  • Call An API And Start Building
    Leverage a simple API to access leading open-source models and your own fine-tuned checkpoints, allowing you to focus on application development.
  • Serve Models With Low Latency
    Optimize your applications with low-latency responses, critical for user-facing applications that require speed and reliability.
  • Optimize Cost and Performance
    Manage costs effectively by eliminating the need for dedicated infrastructure and paying only for usage.
  • Streamline Development Processes
    Ensure coherent workflows across model training and inference stages, minimizing context switching.

Serverless Inference

Serverless inference allows instant access to leading open-source models and your own fine-tuned checkpoints without the need to manage infrastructure. CoreWeave hosts everything, focusing on simplifying the application layer for developers.

  • Access AI Models Instantly
    Easily call APIs to access a curated catalog of leading open-source models and your custom models, allowing for quick integration and deployment.
  • Deliver Fast Responses
    Engineered to handle real-time AI workloads, ensuring quick and responsive interactions for applications like chatbots and real-time data processing.
  • Maintain Budget Control
    Predictable pricing structures ensure clarity in costs associated with serverless inference usage, allowing businesses to better manage budgets.
  • Simplify Deployment
    Reduces the complexity of managing various AI models by automatically adjusting resources based on demand.

Dedicated Inference

Dedicated inference for scalable AI deployment with explicit control. Optimize costs and ensure performance with our AI-native infrastructure.

  • Maximize Control Over Inference
    Control GPU selection, runtime environment, and scaling options to align with your specific AI requirements.
  • Scale Your AI Workloads
    Seamlessly adjust resources and maintain high performance even during traffic spikes.
  • Run Your AI Models Optimally
    Achieve superior performance and reliability tailored for demanding AI applications.
  • Predict Costs Clearly
    Transparent billing per GPU-hour allows for better budget management.
  • Bring Your Own Model Weights
    Easily integrate your trained models, making transitions into production smooth.

CoreWeave Sandbox

Model and agent development sandbox to preview training and fine-tuning workflows.

  • Supports Real-World Applications
    Facilitates the safe execution of models that require real-time decision-making and action, enhancing the deployment readiness of AI workloads.
  • Facilitates Workflow Testing
    Allows teams to execute training and experimentation seamlessly without data movement or context switching, enhancing productivity.
  • Enables Experimentation
    Provides advanced capabilities for developing and iterating on AI models, ensuring a more comprehensive evaluation process.

CoreWeave ARENA

Run real AI workloads in ARENA to validate performance, scaling, and cost before production with evidence-backed recommendations.

  • Gain Concrete Production Insights
    Use detailed assessments to guide your AI infrastructure decisions effectively.
  • Test Real AI Workloads
    Execute actual workloads on dedicated infrastructure to ensure optimal performance and reliability in production environments.
  • Access Expert Insights
    Consult with specialists to navigate challenges and achieve effective deployment of AI workloads.
  • Scale Infrastructure Effortlessly
    Utilize adjustable resource allocation to handle fluctuating workloads without hassle.

Tensorizer

Tensorizer is designed specifically for AI inference workflows, ensuring optimized and efficient processing with high performance.

  • Boosts Inference Efficiency
    By optimizing TensorFlow models for deployment, Tensorizer reduces latency and maximizes throughput, enabling quick responses and improving overall performance.
  • Compatible with Various Frameworks
    Tensorizer supports a wide array of AI frameworks and tools, allowing teams to leverage it within their current infrastructure seamlessly.
  • Adapts to Growing Needs
    Designed to handle an increasing volume of inference requests, Tensorizer ensures consistent performance, making it suitable for diverse AI applications.
  • Improved System Transparency
    With built-in monitoring capabilities, Tensorizer helps teams maintain visibility into AI inference processes, facilitating proactive management and optimization.

Mission Control

Mission Control: the operating standard for AI at scale, providing observability, audit visibility, and automated operations.

  • Streamline AI Operations
    Enhances efficiency by automating routine tasks, allowing teams to focus on innovation.
  • Gain Full Visibility
    Provides insight into system performance and potential issues in real-time, ensuring prompt response.
  • Ensure Compliance
    Facilitates compliance with industry regulations by providing traceable audit logs for AI activities.
  • Optimize Resource Utilization
    Automatically handles scaling and maintenance of nodes based on workload demands.
  • Automate Node Management
    Enables automatic provisioning and decommissioning of nodes, reducing manual oversight.

NVIDIA Quantum InfiniBand Cluster Networking

High-performance interconnect for AI clusters using NVIDIA Quantum InfiniBand, providing industry-leading connectivity and speed for complex workloads.

  • Facilitates High-Speed Communication
    Utilizes SHARP technology to ensure high bandwidth and low latency connectivity, essential for compute-intensive AI tasks.
  • Unlocks Massive Clusters
    Create interconnected GPU superclusters to harness unprecedented computing scale and capabilities for AI workloads.
  • Enhances Operational Efficiency
    Provides observability and insights into GPU and network performance, optimizing resource allocation and utilization.
  • Enables Instant Data Access
    Delivers direct connectivity between GPUs, reducing bottlenecks and accelerating AI training and inference processes.

AI Object Storage

AI Object Storage is a high-performance storage solution optimized for AI workloads, designed to meet the demands of rapid data access and management in complex environments.

  • Maximize Data Throughput
    Ensures that AI models can access and process data at unprecedented speeds, significantly reducing training time.
  • Facilitate Data Transfers
    Simplifies moving data into CoreWeave’s AI Object Storage without incurring traditional cloud migration costs, promoting operational flexibility.
  • Optimize AI Workloads
    Delivers performance tailored for AI tasks, improving overall efficiency in ML and data-intensive operations.
  • Expand as Needed
    Accommodates growing data requirements and increasing AI workloads without performance degradation.
  • Ensure Data Integrity
    Facilitates robust data management practices, allowing teams to focus on innovation rather than worrying about data reliability.

Distributed File Storage

Distributed file storage for AI data and workloads, designed to provide high performance and reliability.

  • Achieve Superior Training Speeds
    This feature allows seamless handling of large datasets, significantly enhancing the training speed and efficiency of AI models.
  • Adapt Storage Capacity On-Demand
    Accommodate growing datasets and fluctuating needs without compromising on performance or reliability.
  • Eliminate Data Transfer Costs
    Move data freely from other cloud services to CoreWeave without financial penalties, facilitating easier integration.
  • Streamline Data Processes
    Facilitates efficient handling of data for deploying AI models, enhancing overall productivity.
  • Ensure Data Safety
    Regular snapshots help safeguard against data loss, enabling easy recovery from interruptions.

Dedicated VAST Storage

Dedicated VAST storage for high-performance AI data needs. It offers direct management access and physical isolation with dedicated hardware, optimizing workloads for AI environments.

  • Provides High-Performance Storage
    Utilizes physical isolation and dedicated hardware to maximize IOPS and bandwidth for intensive AI workloads, ensuring reliability and efficiency.
  • Enables Strong Control Over Data
    With VAST management, users gain unparalleled control over their data operations, facilitating effective management strategies and optimizing utilization.
  • Achieves Massive Read Bandwidth
    Designed for scalability, the storage can handle extensive read operations, ensuring data is quickly accessible for processing by AI models.
  • Ensures Data Redundancy
    Provides automated snapshots to reduce data loss and improve recovery times, making it suitable for critical AI operations.

Local Storage

Local storage for AI workloads.

  • Enhance Performance For AI Tasks
    Local storage reduces data transfer latency, enabling faster access to critical data for AI tasks.
  • Simplify Workflow
    Designed to work effortlessly with CoreWeave's AI cloud, facilitating efficient workflows.
  • Minimize Data Loss Risk
    Regular automated snapshots help protect against data loss, maintaining operational continuity.

CoreWeave Zero Egress Migration (0EM)

Zero egress data migration to CoreWeave with no fees, no lock-in, and expert-led transfers to AI object storage.

  • Eliminate Egress Fees
    CoreWeave covers all egress fees, ensuring cost-effective migrations without hidden charges.
  • Receive Expert Guidance
    Our team of experts facilitates a smooth and efficient transfer process, minimizing downtime and ensuring data integrity.
  • Enjoy Freedom of Choice
    Move your data freely without being tied to a single vendor, allowing flexibility in your cloud solutions.
  • Experience Hassle-Free Migration
    Our comprehensive managed migration service ensures that your data transfer is handled smoothly from start to finish, with continuous validation for reliability.

CoreWeave Managed Kubernetes Service

CoreWeave's Managed Kubernetes Service offers a robust platform tailored for AI workloads, ensuring optimal performance and reliability through bare metal deployment.

  • Maximize Performance And Reliability
    Utilize a hypervisor-free environment on bare metal nodes, reducing latency and enhancing observability, allowing for seamless scaling and management of demanding AI applications.
  • Accelerate Time To Market
    Quickly onboard and manage AI workloads without the hassle of manual configurations, allowing teams to focus on innovation.
  • Control Your Cloud Costs
    Leverage dedicated resources to minimize cloud expenditures while maximizing compute power tailored to AI workloads.
  • Ensure Infrastructure Reliability
    Gain insights into workloads with comprehensive monitoring tools, enabling quick responses to performance issues in real-time.

References

Methodology and sourcing behind the market figures shown above.

GPU cloud infrastructure

Estimated by anchoring to published cloud-market figures and observable AI/GPU demand signals. Extrapolate reports global cloud market at USD 637.44B (2023) with ~18% CAGR; GPU cloud is a specialized subset of IaaS. Assuming IaaS is roughly 30–40% of cloud and GPU-accelerated infrastructure represents ~10–15% of IaaS today (driven by AI/ML training and inference), the GPU cloud infrastructure market is ~20–40B; midpoint ~30B. Growth potential (CAGR ~30%) is materially above overall cloud CAGR given rapid AI-driven GPU demand (Oracle’s cloud-infra forecasts and industry announcements indicate accelerated GPU-related capex and revenue growth).

Unified training orchestration

‘Unified training orchestration’ is a niche subset of ML/AI orchestration markets. Search results show ML orchestration tools at ~US$0.74B (2024) and broader AI orchestration platforms at US$11.1B (2025); process orchestration sits near US$7.2B (2025). Given that training-focused, large-scale orchestration is more specialized than general AI orchestration but likely growing faster than legacy ML orchestration, I estimate a current market size of about US$1.5B and a growth potential ~15% CAGR (between the reported ML-orchestration CAGR and larger AI-orchestration forecasts).

High-throughput storage for AI and HPC

Search results show global and regional HPC markets (2024 values $38–$150B depending on scope) and very strong data-center and AI-driven growth (data center CAGR ~22%, processors double-digit). High-throughput storage for AI/HPC is a subset of HPC hardware (storage as a fraction of hardware revenue). Using 2024 HPC market baselines ($38–$47B) and industry processor/data-center growth signals, I estimate the niche high-throughput AI/HPC storage market at roughly $4.0B today with ~20% CAGR driven by AI model/data growth, hyperscaler spending, and premium throughput/networking requirements.

Managed Kubernetes for AI

Primary source (GrowthMarketReports) directly reports the Kubernetes-for-AI-workloads market at USD 1.98B (2024) with a 32.5% CAGR (2025–2033). I used MarketsandMarkets (cloud AI) to contextualize strong AI-driven demand (CAGR ~32.4%), and a managed-Kubernetes report (LinkedIn excerpt) to benchmark the broader managed-Kubernetes market (USD 8.2B, lower CAGR ~11.4%). These sources support treating Managed Kubernetes for AI as a subsegment of Kubernetes-for-AI and cloud-AI markets with high growth potential (~32.5% CAGR).

Managed model inference and serving

Estimate based on published market reports for AI inference / inference-as-a-service. Precedence Research explicitly reports USD 23.40B for AI inference-as-a-service in 2026 and a 26.8% CAGR; independent estimates (inference server reports) show similar high-growth trajectories (mid-20% to high-20% CAGR), with at least one broader AI inference report citing a lower 16.6% CAGR.

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