Is CoreWeave a managed inference service?

CoreWeave is an AI Cloud platform purpose-built to run inference and agentic runtimes in production, with direct access to high-performance GPU infrastructure, AI-native orchestration, and CoreWeave Mission Control visibility from metal to model. Teams can deploy and operate their own inference services on CoreWeave, and for a faster start, W&B Inference powered by CoreWeave provides an integrated, managed entry point for serving and evaluating models.

Inference built for real-world demand

CoreWeave Inference

Inference built for real-world demand

CoreWeave Inference delivers reliable performance and cost predictability at scale, all on a cloud purpose-built for AI

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Scale compounds complexity

AI apps and agents need inference that scales

As models move from experimentation to production, inference infrastructure faces real traffic, fluctuating demand, and sustained cost pressure. CoreWeave Cloud delivers a vertically integrated stack purpose-built to handle the most complex AI inference workloads, so you get the speed, scale, and reliability you need for AI.

Top ranked. Industry recognized. Fully trusted.

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SemiAnalysis ClusterMAX™ Platinum ranking

CoreWeave is the only AI cloud to earn a Platinum rating from ClusterMAX—and the only one to do it twice.

Leading Inference Performance in MLPerf® Benchmark

On DeepSeek-R1, CoreWeave led performance on NVIDIA GB200 NVL72, and doubled server mode throughput with NVIDIA GB300 NVL72 in just 6 months.

NVIDIA GB200 Exemplar Cloud designation

Recognizes sustained performance and reliability discipline at scale on GPU infrastructure.

CoreWeave inference paths

Inference on your terms

Three inference paths built on the award-winning CoreWeave Cloud. Move between them as your workloads evolve—without replatforming—so you always get predictable performance and infrastructure-aligned economics.

Serverless inference

Pay-per-token inference on a curated OSS model catalog. No clusters to manage. Built-in tracing, evals, and observability for AI applications and agents.

Best for

Rapid iteration and AI app development

infrastructure management

Low — API only

Model support

Curated OSS + LoRAs

Pricing

Pay-per-token

Dedicated Inference

Deploy custom weights on explicitly chosen GPUs. CoreWeave operates routing, scaling, and lifecycle. Full execution transparency, no cluster management.

Best for

Custom model serving at production scale

infrastructure management

Medium — GPU, Zone, Runtime

Model support

Open-source or custom weights

Pricing

Pay-per-GPU-hour

Inference on CKS

Full self-managed inference on CoreWeave Kubernetes Service. Own the entire serving stack—runtimes, scheduling, autoscaling, multi-node topology—on dedicated bare-metal GPU nodes.

Best for

Full infrastructure ownership and deep tuning

infrastructure management

High — full Kubernetes control

Model support

Any

Pricing

Pay-per-GPU-hour (Reserved, On-demand, Spot, Flex)

Why CoreWeave Inference

Full control at every layer

CoreWeave runs inference workloads on its owned infrastructure, so every layer of the stack is optimized for speed and efficiency. Performance stays predictable, costs stay explainable, and teams stay in control as workloads grow.

Full support for any model type

Run open-source catalogs, custom LoRAs, and fully fine-tuned models across inference paths without changing platforms.

No price or performance surprises

Pricing and observability are closely tied to the infrastructure layer. Cost and performance can be mapped to the GPU type and capacity model you choose.

Compatible endpoints, no egress fees, and no lock-in

Standard API endpoints across every tier. Switch models, runtimes, or deployment tiers without rewriting integrations or replatforming.

Accelerate every stage of AI development

Train, refine, experiment, and serve on one platform. Run RL and fine-tuning on the same infrastructure you'll deploy on, with native observability for production inference.

Direct access to CoreWeave support

Direct access and collaboration with CoreWeave’s AI experts to support your infrastructure choices and work with you on finding and deploying the best solution for your workload.

Trusted by leading pioneers at production scale

See more customer stories

CoreWeave gives Goodfire the dedicated GPU backbone we need to ship realtime AI features with confidence. On CKS we get predictable, single-tenant performance, tight integration with our frontier model inference stack, and the flexibility to tune our deployments without taking on cluster ops.

Daniel Balsam

Co-founder and CTO, Goodfire

Working with CoreWeave Inference has dramatically simplified how we fine-tune, ship, and scale our models. They take GPU management completely off our plate, which lets our team focus on product. CoreWeave’s infrastructure just works.

Mustafa Ali

Founding Software Engineer, Method

Cline is the leading open-source, agentic coding platform for large global enterprises. As adoption grows, so does the need for scalable inference capacity. We use the serverless inference in Weights & Biases to support enterprise-ready environments for our most security-sensitive customers.

Saoud Rizwan

Founder, Cline

Purpose-built for AI

Production inference requires more than just the latest and greatest GPUs. CoreWeave delivers the storage performance, security posture, and operational partnership that keep mission-critical workloads running reliably at scale.

Data and Storage

Built for inference data patterns

AI Object Storage with LOTA delivers 5× faster model weight loading and 10x faster spin-up times.

Security

Data sovereignty and isolation

Single-tenant nodes, region-specific deployments, and weights that won’t leave governed boundaries.

Dedicated support

Real engineering partnership

CoreWeave product and engineering teams will help you benchmark, optimize, plan, qualify, and triage.

Executive Brief

Inference Is Your Product’s Reliability Layer

Learn how CoreWeave helps AI teams manage latency, cost, and control before production issues reach users.

EBOOK

The Business Case for Infrastructure-Aligned AI Inference

Understand inference economics and evaluate the right inference approach for your business, from operational overhead and traffic patterns to economics and provider selection.

solution brief

Choosing the Right Execution Path for AI Inference

The right inference solution depends on your latency targets, traffic shape, and how much operational overhead you want. Here’s how to find the right fit.

Frequently Asked Questions

What is Inference?

Inference is the process of running a trained model to generate outputs — such as text, images, predictions, or decisions — in response to live inputs. In production systems, inference must be fast, reliable, and scalable.

Does CoreWeave offer an inference service?

CoreWeave provides the infrastructure, orchestration, and operational visibility required to run inference and agentic AI in production. Teams can deploy and operate their own inference services on CoreWeave’s purpose-built AI cloud, or use integrated offerings such as Weights & Biases Inference powered by CoreWeave.

How is agentic AI related to inference?

Agentic AI is inference that runs in loops. Instead of a single request-response, agents plan, retrieve context, call tools, and iterate — making tail latency, burst throughput, and operational visibility more important because small issues compound across steps.

Can I bring my own model weights?

Yes. Serverless Inference supports custom LORAs on top of the open-source model catalog. Dedicated Inference lets you bring your own model weights and deploy on CoreWeave-managed runtimes with explicit GPU selection. Inference on CKS supports fully custom models, runtimes, and orchestration.

How does performance improve over time?

Performance improves continuously because CoreWeave owns the end-to-end inference stack and ships each new NVIDIA hardware generation as it becomes available. Runtime upgrades, KV cache optimizations, and multi-zone deployments roll out across the platform without replatforming or manual upgrade work on your side.

Inference built for real-world demand

AI apps and agents need inference that scales

Top ranked. Industry recognized. Fully trusted.

SemiAnalysis ClusterMAX™ Platinum ranking