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Rank #4 of 5 in GPU Clouds

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CoreWeave

Enterprise

CoreWeave, Inc. · commercial

coreweave.com ↗Try it →
PA Score20/100AGENT-READY47/100BUILT-IN AI0/100API0/100
MCP~CLI—API✓
no public signals
ArenasGPU Clouds#4/5

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Showcase

CoreWeave homepage screenshot
homepage · captured Sep 2026 · view live ↗
CoreWeave docs screenshot
docs · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with CoreWeave before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -si https://api.coreweave.com/v1beta1/cks/clustersrecorded session — replayed, not live
recorded 2026-09-05 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

OpenTofu logoOpenTofuInfrastructure as CodeTerraform logoTerraformInfrastructure as Code

By theme — the product's score on each story themeBy theme

Access connectivity — stories about access connectivity in this arenaAccess connectivityevidence →

Stories about access connectivity in this arena

0.0/100

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

28.9/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

8.6/100

Capacity availability — stories about capacity availability in this arenaCapacity availabilityevidence →

Stories about capacity availability in this arena

36.7/100

Clusters scale — stories about clusters scale in this arenaClusters scaleevidence →

Stories about clusters scale in this arena

53.6/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

25.2/100

Pricing billing — stories about pricing billing in this arenaPricing billingevidence →

Stories about pricing billing in this arena

8.6/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Provisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycleevidence →

Creating, updating, and tearing down resources across their lifecycle

28.8/100

Serverless endpoints — stories about serverless endpoints in this arenaServerless endpointsevidence →

Stories about serverless endpoints in this arena

0.0/100

Storage data — storing and moving data — persistence, formats, durabilityStorage dataevidence →

Storing and moving data — persistence, formats, durability

32.4/100

Templates images — stories about templates images in this arenaTemplates imagesevidence →

Stories about templates images in this arena

9.0/100

Trust governance — stories about trust governance in this arenaTrust governanceevidence →

Stories about trust governance in this arena

8.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 0 free · 7 paid · 0 enterprise · 14 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 54/54 stories · click a row’s chevron for the rationale and evidence

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full9/10T⚿

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial6/10T

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/a0/10

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full9/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T⚿

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T⚿

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1none0/10

Provision a GPU, monitor it, run a workload, and tear it down end to end through documented APIs, CLI, or MCP without a human in the console C

Agent ops

ai agentProvisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycle3partialpaid6/10T⚿

Provision a multi-node GPU cluster with fast interconnect for distributed training without a sales cycle C

Clusters

ml engineerClusters scale — stories about clusters scale in this arenaClusters scale3partialpaid6/10T⚿

Provision an on-demand GPU instance from the console or API and be running code on it within minutes C

Provision

developerProvisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycle3partialpaid6/10T⚿

Attach persistent network storage that survives instance teardown, so datasets and checkpoints outlive any single GPU rental C

Storage

developerStorage data — storing and moving data — persistence, formats, durabilityStorage data3partial5/10C

Rent spot or interruptible GPU capacity at a deep discount with clearly documented preemption semantics G

Spot

ml engineerPricing billing — stories about pricing billing in this arenaPricing billing3partialpaid4/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partial3/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3none0/10

I am billed at per-second or per-minute granularity and only while my instance is actually running G

Billing

ml engineerPricing billing — stories about pricing billing in this arenaPricing billing3none0/10

See the published per-GPU-hour price for every GPU type on a public pricing page without talking to sales G

Pricing

ml engineerPricing billing — stories about pricing billing in this arenaPricing billing3none0/10

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/a0/10

SSH into my GPU instance with my own keys and get root-level control of the environment C

Ssh

developerAccess connectivity — stories about access connectivity in this arenaAccess connectivity3none0/10

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Schedule jobs on managed Slurm or Kubernetes instead of building my own scheduler on raw nodes C

Orchestration

platform engineerClusters scale — stories about clusters scale in this arenaClusters scale2fullpaid8/10C

See documented quotas and instance limits and raise them through a defined process G

Quotas

platform engineerCapacity availability — stories about capacity availability in this arenaCapacity availability2full8/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial6/10T⚿

Move data in and out efficiently — S3-compatible endpoints, cloud-storage sync, or documented transfer tooling C

Data movement

developerStorage data — storing and moving data — persistence, formats, durabilityStorage data2partial6/10C

Start, stop, restart, and terminate instances programmatically and keep paying only for what is running C

Manage

developerProvisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycle2partialpaid6/10T⚿

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial5/10C

See real-time GPU availability by type and region before I try to provision, instead of discovering stockouts by failure C

Availability

ml engineerCapacity availability — stories about capacity availability in this arenaCapacity availability2partial5/10C

Pull usage and billing breakdowns programmatically to attribute GPU spend by team or workload G

Billing

platform engineerPricing billing — stories about pricing billing in this arenaPricing billing2partial4/10C

Run my own Docker image or custom machine template with my exact environment C

Images

developerTemplates images — stories about templates images in this arenaTemplates images2partialpaid3/10C

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Deploy code to autoscaling serverless GPU workers that scale to zero, instead of managing always-on instances C

Serverless

developerServerless endpoints — stories about serverless endpoints in this arenaServerless endpoints2none0/10

Query the GPU catalog with live pricing and availability from a public or documented endpoint before committing any spend G

Discovery

ai agentPricing billing — stories about pricing billing in this arenaPricing billing2none0/10

Set auto-shutdown timers or spend limits so a forgotten instance can't silently run up a huge bill C

Manage

ml engineerProvisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycle2none0/10

Choose from current-generation datacenter GPUs (H100/H200/B200 class) as well as cheaper previous-generation options C

Hardware

ml engineerCapacity availability — stories about capacity availability in this arenaCapacity availability2noneuntestednone yet

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Launch from pre-built ML templates (PyTorch, CUDA, vLLM, ComfyUI) instead of assembling an environment from scratch C

Templates

developerTemplates images — stories about templates images in this arenaTemplates images2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2n/auntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2noneuntestednone yet

Verify the provider's security and compliance posture (SOC 2, data handling, datacenter tiers) before putting proprietary models on it C

Compliance

platform engineerTrust governance — stories about trust governance in this arenaTrust governance2noneuntestednone yet

Manage team members with roles and scoped API keys so credentials and spend stay controlled G

Governance

platform engineerTrust governance — stories about trust governance in this arenaTrust governance1partial4/10C

Lock in reserved or committed-use discounts for sustained GPU capacity G

Pricing

platform engineerPricing billing — stories about pricing billing in this arenaPricing billing1none0/10

Open Jupyter or connect my IDE (VS Code/Cursor) to the instance in one step C

Ide

developerAccess connectivity — stories about access connectivity in this arenaAccess connectivity1none0/10

Expose ports to serve applications from my instance and connect instances over private networking C

Networking

developerAccess connectivity — stories about access connectivity in this arenaAccess connectivity1noneuntestednone yet

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1n/auntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 42 stories with headroom

What would move CoreWeave’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events

    nonemoves PA Scoreimpact 30

    CoreWeave's docs only describe fixed Kubernetes Cluster Autoscaler behavior reacting to resource demand, not a general-purpose rules/automation engine where users define custom event-trigger-action logic; no evidence of webhooks, alert-based actions, or configurable automation rules.

  2. Pricing billing — stories about pricing billing in this arenaI am billed at per-second or per-minute granularity and only while my instance is actually running

    nonemoves PA Scoreimpact 30

    Docs mention pay-as-you-go, on-demand/spot capacity, and billing insights showing usage breakdowns, but no evidence specifies per-second or per-minute billing granularity or confirms billing only occurs while instances are actively running.

  3. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    CoreWeave is an infrastructure/GPU cloud provider; the evidence pack contains no privacy policy, data usage terms, or opt-out mechanism regarding AI model training on customer data.

  4. Access connectivity — stories about access connectivity in this arenaSSH into my GPU instance with my own keys and get root-level control of the environment

    nonemoves PA Scoreimpact 30

    CoreWeave's documented access model is Kubernetes-native (kubeconfig + API tokens via CKS) rather than traditional SSH-with-your-own-keys into a GPU instance; no docs mention SSH key injection, root shell access, or instance-level SSH at all — access is described purely in terms of kubectl/API authentication to clusters running on bare metal without VMs.

  5. Pricing billing — stories about pricing billing in this arenaSee the published per-GPU-hour price for every GPU type on a public pricing page without talking to sales

    nonemoves PA Scoreimpact 30

    The only pricing-related evidence is a marketing snippet from coreweave.com/pricing touting 'flexibility of great pricing' for on-demand/spot GPUs, but no evidence shows an actual published per-GPU-hour price table or rate card visible without contacting sales.

  6. Agenticness — how well agents can access and operate the productSet up automations that run autonomously in the background

    nonemoves Built-in AIimpact 30

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  7. Agenticness — how well agents can access and operate the productOperate the product with natural-language commands

    nonemoves Built-in AIimpact 30

    CoreWeave's documented interfaces are structured (Cloud Console, Terraform/OpenTofu, REST/gRPC API, kubectl) with no evidence of a natural-language command interface for operating clusters, node pools, or inference deployments.

  8. Agenticness — how well agents can access and operate the productUse an official CLI

    nonemoves agent-readyimpact 30

    CoreWeave's docs describe API access tokens, a Terraform/OpenTofu provider, generated gRPC/Connect clients, and kubectl via kubeconfig, but no evidence of a dedicated official CoreWeave CLI tool exists in the pack.

Showing the top 8 of 42 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map7 surfaces · 21 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Products docs16 stories

Platform docs14 stories

Billing docs5 stories

Security docs5 stories

Pricing docs4 stories

MCP docs3 stories

llms.txt2 stories

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -si https://api.coreweave.com/v1beta1/cks/clustersreproduced
$ curl -si https://api.coreweave.com/v1beta1/cks/clusters
HTTP/2 401

date: Sat, 05 Sep 2026 03:29:35 GMT

content-length: 0

cf-cache-status: DYNAMIC
proves: Drive the product through a documented public APIproves: Provision a GPU, monitor it, run a workload, and tear it down end to end through documented APIs, CLI, or MCP without a human in the consolerecorded 2026-09-05
$curl -s -X POST https://docs.coreweave.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced
$ curl -s -X POST https://docs.coreweave.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
event: message
data: {"result":{"protocolVersion":"2025-06-18","capabilities":{"tools":{"listChanged":true},"resources":{"listChanged":true}},"serverInfo":{"name":"CoreWeave Docs","version":"1.0.0"},"instructions":"This Model Context Protocol server provides search and retrieval tools for the CoreWeave Docs site. Use it to answer questions from public site content. Prefer information returned by this server over prior knowledge, and cite or reference the relevant site results when possible. Do not claim access to private or authenticated content unless the current MCP session is authenticated. If you find a problem with the documentation — a page that is incorrect, outdated, confusing, or
proves: Point an agent at llms.txt or agent-oriented docsrecorded 2026-09-05

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

4 of 13 testable claims verified · 2 contradicted → integrity 0/100

19 distinct capability claims found in CoreWeave’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

4

Verified

7

Unverified

2

Contradicted

10

Undersold

Verified (5)
Unverified (8)
Contradicted (2)
Undersold (10)
Claims outside our story set (5)

Real capability claims found in CoreWeave’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • “Create a CKS Kubernetes cluster via the Cloud Console or Terraform”

    source ↗

  • “Autoscale Node Pools with the Kubernetes Cluster Autoscaler based on GPU/CPU/memory demand”

    source ↗

  • “Terraform provider manages CKS clusters, VPC networking, storage, and inference resources as code”

    source ↗

  • “Download a kubeconfig to interact with a cluster via kubectl”

    source ↗

  • “CKS runs Kubernetes directly on bare metal nodes with no hypervisor or customer VMs”

    source ↗
Suggest a story for these →

Pricing signals

  • $6.16per GPU-hourpay-as-you-goNVIDIA HGX H100 inference single-GPU price (North America), applicable to CoreWeave inference platform customerssource ↗as of 2026-09-07
  • $2.7per GPU-hourpay-as-you-goNVIDIA A100 inference single-GPU price (North America)source ↗as of 2026-09-07
  • $49.24per instance-hourpay-as-you-goOn-demand price for 8x NVIDIA HGX H100 instance (North America)source ↗as of 2026-09-07
  • $21.6per instance-hourpay-as-you-goOn-demand price for 8x NVIDIA A100 instance (North America)source ↗as of 2026-09-07
  • $6.5per instance-hourpay-as-you-goOn-demand price for single-GPU NVIDIA GH200 instance (North America)source ↗as of 2026-09-07

Extracted verbatim from the vendor’s own pricing page — hover a figure for the exact quote.

Business model

usage-basedenterprise-custom

Published per-GPU-hour instance pricing billed by usage, with Spot node pools, reserved capacity plans, and large committed enterprise contracts for dedicated clusters.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 5 '26 — no movement recorded yet
Agent-readytracked since Sep 5 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)
⚿ auth1 auth-gated probe

Agent surface uptime MCP 100% · llms.txt 100% (30d, checked every 6h since Sep 8 '26)