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CoreWeave AI Object Storage has the following quotas and limits by default.

Quotas

Object Storage tracks capacity quotas separately for each storage class. The quota for STANDARD applies to the Hot, Warm, and Cold tiers combined. The quota for STANDARD_IA applies to the Archive tier, if your organization uses this tier. When usage in a storage class reaches that class’s quota, write operations to that storage class are blocked. Enforcement lags actual usage, so writes can continue past the quota (see Capacity overshoot). To reclaim capacity by removing data your workloads no longer access, see Delete cold objects. To request a quota increase, contact CoreWeave support and include:
  • Your organization name and Org ID, found on the Settings page.
  • The region and zone.
  • The storage class (STANDARD or STANDARD_IA) the request applies to.
  • The requested object storage quota (TiB).
  • A brief description of the workloads and expected storage growth (Optional). For example, new clusters or changes over the next 30 to 90 days.

Per-bucket capacity caps

Each bucket’s STANDARD usage counts toward the organization’s shared STANDARD quota in its Availability Zone. A per-bucket capacity cap adds a bucket-specific limit. Reaching the bucket cap blocks writes only to that bucket, while reaching the shared quota blocks STANDARD writes to all buckets in the zone. A cap helps prevent one bucket from exhausting the shared quota. It doesn’t reserve capacity, increase the shared quota, or require moving or rewriting existing data. Per-bucket capacity caps have the following prerequisites:
  • Changing a cap requires the cwobject:ConfigureBucketCapacityCap permission.
  • Per-bucket capacity caps are entitlement-gated. Your organization must be entitled before you can configure a cap, and the API rejects requests without the entitlement. To request the entitlement, contact CoreWeave support.

Cap enforcement

The following rules apply while a cap is in place:
  • The cap counts STANDARD usage and applies only to writes that add STANDARD data. It excludes STANDARD_IA usage and Archive transitions.
  • Writes that would push bucket usage past the cap are rejected once enforcement sees the updated usage. Reads and deletes remain available at the cap, so you can reclaim space.
  • Each part of a multipart upload is checked separately, so an upload can fail partway through when the bucket reaches its cap.
  • Enforcement uses periodically aggregated and cached usage, so a bucket can overshoot its cap before writes are rejected. See Capacity overshoot.
  • Lowering a cap below current usage deletes nothing. Further growth is blocked until usage falls, you raise the cap, or you clear it.
  • Buckets without a cap are unaffected.
A rejected write returns HTTP 405 Method Not Allowed with a message similar to the following:
Example error

Set or change a cap

Manage caps through the SetBucketSettings control-plane API, not the S3-compatible API. Each request needs an API access token.
  1. Save the following as bucket-settings.json, replacing [BUCKET-NAME] with your bucket and capacityCapBytes with the cap in bytes. Zero is a valid cap, which blocks every STANDARD write that adds bytes. The maximum accepted value is 9223372036854775807 bytes, just under 8 EiB.
    bucket-settings.json
  2. Submit the request:
    Example request
    A successful response reports the stored cap in the read-only configuredCapacityCapBytes field:
    Response status code 200
A new value replaces the existing cap. If you omit capacityCapBytes from a settings update, the cap stays unchanged, so you can change other bucket settings without the cap entitlement.

View the current cap

Read the cap and the bucket’s current usage with GetBucketInfo:
Example request
Response status code 200
When no cap is configured, the response omits configuredCapacityCapBytes. The same field appears in ListBucketInfo responses.

Clear a cap

To remove the bucket-specific limit, send clearCapacityCap instead of capacityCapBytes. The bucket’s STANDARD usage still counts toward the organization’s shared quota. The two fields are mutually exclusive.
bucket-settings.json
Deleting the bucket also removes its cap.

Capacity overshoot

Storage-class quotas and per-bucket capacity caps are soft limits. Object Storage enforces them against periodically aggregated usage, not a real-time byte count, so writes can continue after actual usage exceeds the quota or cap. Don’t rely on a quota or cap to reject a particular write at an exact capacity boundary. Usage is aggregated every 5 minutes, so overshoot depends primarily on write throughput during a window of roughly 5 to 10 minutes. S3 servers also cache each bucket’s usage, so per-bucket cap enforcement can lag the usage that GetBucketInfo reports. After a period without S3 requests, a new request can be checked against an older cached value while the cache refreshes in the background. S3 requests such as HeadBucket, ListObjectsV2, and PutObject trigger this refresh when the server’s cache entry has expired. Polling GetBucketInfo doesn’t refresh the cache, so updated usage in its response doesn’t guarantee that the next upload is checked against that value. Potential overshoot is approximately the sustained write throughput multiplied by the usage-update delay:
  • Per-bucket cap: The bucket’s sustained write throughput during the roughly 5-to-10-minute aggregation window.
  • Storage-class quota: The combined write throughput across all buckets in the affected Availability Zone and storage class.
When you choose a bucket cap, leave headroom for potential overshoot based on the bucket’s sustained write throughput during that window.

Limits

The following limits are technical constraints on individual objects and multipart uploads. 1 The last object part of a multipart upload can be less than 5 MiB in size.

Request rate

CoreWeave AI Object Storage does not publish a per-account requests-per-second (RPS) quota. The service is designed to scale with normal S3-style workloads, including parallel reads and writes across many objects. If you plan a workload that will sustain very high request rates (for example, large-scale dataset shuffling, fan-out across thousands of clients, or high-QPS prefix-scale rename or list operations), contact CoreWeave support before you run it so that capacity planning and any applicable rate shaping can be reviewed. For rename-specific guidance at scale, see Rename objects.

Storage capacity alerts

Object Storage sends alerts when your usage approaches or is projected to exceed a quota, giving you time to act before write operations are blocked. Alerts fire independently for each storage class quota in each Availability Zone. For the full list of alerts, their trigger conditions, and the PromQL behind them, see Object storage alerts.
Last modified on October 5, 2026