Prove production readiness with CoreWeave ARENA

Assess real workload performance and cost on our purpose-built AI cloud before you commit to production

Know more. Innovate faster.

CoreWeave AI Ready, Native Applications (ARENA) gives AI teams the performance signals, cost transparency, and direct-to-expert guidance they need to move to production with confidence. Run and evaluate real workloads in an industry-leading AI lab for production readiness and leave with concrete insights and recommendations designed to accelerate your path to innovation.

With CoreWeave ARENA, you experience:

Real workloads

Run your real models and pipelines on CoreWeave’s purpose-built AI Cloud at production scale—no synthetic tests.

Real observability

See exactly where performance is gained or lost with CoreWeave Mission Control™ insights into communication, scheduling, and multi-node behavior.

Real evidence

Leave with reproducible performance and cost results you can use to inform budget and production decisions.

Left
Right

Proven by leading pioneers at production scale

Built for AI teams at every stage

Get real performance, cost, and operational evidence—before you scale

CoreWeave ARENA is built for pioneers of every size and level of maturity—from early-stage startups to frontier labs and global enterprises. It delivers clear performance, operational, and cost evidence from real workloads so they can move from evaluation to production with speed, precision, and confidence.

Enterprise AI Teams

De-risk production rollout by validating with CoreWeave Mission Control visibility into multi-node behavior, operational signals, and cost drivers— backed by a clear production recommendation.

AI Labs

Run training and inference at production scale to validate performance, scaling, and cost before you commit to an infrastructure path.

AI Native Startups

Prove scaling and cost fundamentals early so you can choose a deployment path with confidence as usage ramps, without spending cycles on bespoke infrastructure work.

Left
Right

Evaluate real workloads with confidence

CoreWeave ARENA provides an end-to-end environment for evaluating real workloads on purpose-built, production-grade AI infrastructure. Evaluate new GPU generations, validate multi-node scaling, pressure-test scheduling and orchestration behavior, and measure throughput and cost under real load. For data-intensive runs, leverage CoreWeave LOTA™ to test high-throughput data movement from storage to GPUs. Guided workflows, CoreWeave Mission Control visibility, and direct-to-expert support help teams complete an evaluation and define next steps.

Step 1:

Objectives and success criteria

We work with you to align on workload, prerequisites, and the success criteria to evaluate outcomes.

Step 2:

Run with guided, direct-to-expert support

Execute your workload on defined configurations using guided workflows on purpose-built AI infrastructure, with direct-to-expert support.

Step 3:

Review results

Get reproducible performance and cost results mapped to your success criteria, with clear insights into the drivers behind them.

Step 4:

Next-step plan

Leave with a clear recommendation and activation plan: proceed to production, or pause with an evidence-backed path forward.

Run production-shaped workloads from day one

CoreWeave ARENA is a structured, notebook-driven evaluation designed to get you to a first real run fast. Start in a pre-built Marimo environment with baseline health checks. Then  run workload-shaped tests that mirror how you plan to operate in production. You can keep your existing tools, including integrations like Weights & Biases, while CoreWeave Mission Control provides the operational view into what’s happening beneath the workload.

You’ll evaluate the CoreWeave platform elements that matter for your workload and your definition of production readiness.

GPU Compute

Benchmark baseline training and inference performance performed on the target GPU architecture prior to validating readiness to ship to production.

CoreWeave Mission Control

Get baseline, end-to-end observability through dashboards, with optional CoreWeave Mission Control Agent support. Surface bottlenecks, communication overhead, and scheduling effects.

Orchestration

Validate behavior on CoreWeave Kubernetes Service (CKS), with SLURM/SUNK support where applicable.

CoreWeave AI Object Storage

Test realistic data paths and sustained transfer rates, including Local Object Transport Accelerator (LOTA) scenarios.

Left
Right

Real-world AI use cases, proven in CoreWeave ARENA

CoreWeave ARENA is for workloads you want to validate end to end before committing to production. Teams bring their models, pipelines, and data patterns and run them through notebook-based guided workflows to surface bottlenecks, confirm scaling behavior, and understand cost drivers. The result is a clear view of performance, cost, and platform behavior under production-like conditions.

AI model training

Prove multi-node scaling, throughput, and communication behavior under real load.

Agentic AI

Test latency, throughput, and concurrency at production-like traffic patterns.

Reinforcement learning (RL)

Validate rollout throughput, environment I/O, and scaling for RL, including key cost drivers.

Left
Right

Check eligibility

CoreWeave ARENA is a good fit if you are:

  1. Evaluating training, inference, reinforcement learning or agentic AI workloads
  2. Testing production-ready  behavior (multi-node, throughput, latency)
  3. Using evaluation results to inform a production or deployment decision

Not sure CoreWeave ARENA is the right starting point?

If you’re looking for more guidance, we’re here to help:

Frequently Asked Questions

How is CoreWeave ARENA different from a typical evaluation or POC?

CoreWeave ARENA gives teams a real, production-grade environment with dedicated capacity to run their actual workloads on modern GPU configurations and tooling, then scale up safely to surface bottlenecks early (comms, scheduling, data paths, stability) before production. It’s a guided lab with defined configs and outputs—but the key difference is you’re not guessing from small tests or waiting on ad-hoc capacity. You’re proving performance, cost behavior, and production readiness under real conditions.

Who can participate?

Currently, only existing CoreWeave customers are eligible. Applications for new teams open in Q2 2026.

Which GPUs are available?

It depends on region, capacity, and your evaluation goals. We match configurations during qualification.

How long does it take?

Engagements are time-bounded and scheduled based on workload needs and capacity. The typical cycle for a benchmark evaluation is 14 days.

Is CoreWeave ARENA free?

CoreWeave ARENA evaluations may be paid, with commercial terms determined during qualification. Customers who proceed to production have evaluation fees credited/waived based on agreed terms.

How do we get started?

Start by checking eligibility. If you’re a fit, we’ll confirm prerequisites and align on success criteria before scheduling.

Which CoreWeave products can I test as part of CoreWeave ARENA?

In CoreWeave ARENA, you can validate end-to-end performance and production readiness across the CoreWeave stack using your real models and pipelines. This typically includes GPU Compute, CoreWeave Kubernetes Service (CKS) for orchestration (including SLURM/SUNK where applicable), Storage (including AI Object Storage and LOTA scenarios), Networking for multi-node scaling behavior, and Mission Control for operational visibility and observability. Availability may vary by region and lab configuration.

Left
Right

Check eligibility for CoreWeave ARENA

This program is currently open to existing CoreWeave customers only. New teams may submit this form to register interest; applications for new customers will open in Q2 2026.