Resource Based Pricing

Customize your hardware configurations with à la carte pricing

CoreWeave's entire infrastructure is purpose-built for compute-intensive workloads, and everything from our servers to our storage and networking solutions are designed to deliver best-in-class performance that are up to 35x faster and 80% less expensive than generalized public Clouds.

Hardware selection is significantly flexible, allowing for custom configurations of CPU, GPU, RAM, and storage requests when scheduling workloads. Resources are scheduled using provided configurations, granting both savings and simplicity on top of legacy Cloud instance type selection.

📜 Learn about CoreWeave node types🔗 View pricing tiers on our website

Instance pricing

While CoreWeave allows scheduling and provides pricing based on standard instances, all CoreWeave Cloud instances are highly configurable. All billing is à la carte; priced by the hour, and billed by the minute.

All billing is based on the greater of resources requested in an instance. If the instance is configured to be burstable, billing is based on the actual resources consumed during any minute billing window.

NVIDIA GPU instance pricing

The following components are configurable in GPU based instances.

Description	Label	Cost per hour	VRAM
H100 HGX (80GB)	H100_NVLINK_80GB	$4.76	80GB HBM3
H100 for PCIe (80GB)	H100_PCIE	$4.25	80GB HBM2e
A100 HGX (80GB)	A100_NVLINK_80GB	$2.21	80GB HBM2e
A100 HGX (40GB)	A100_NVLINK	$2.06	40GB HBM2e
A100 for PCIe (80GB)	A100_PCIE_80GB	$2.21	80GB HBM2e
A100 for PCIe (40GB)	A100_PCIE_40GB	$2.06	40GB HBM2e
V100 for NVLINK	Tesla_V100_NVLINK	$0.80	16GB HBM2
A40	A40	$1.28	48GB GDDR6
RTX A6000	RTX_A6000	$1.28	48GB GDDR6
RTX A5000	RTX_A5000	$0.77	24GB GDDR6
RTX A4000	RTX_A4000	$0.61	16GB GDDR6
Quadro RTX 5000	Quadro_RTX_5000	$0.57	16GB GDDR6
Quadro RTX 4000	Quadro_RTX_4000	$0.24	8GB GDDR6

CPU component pricing

The following CPU components are also configurable in GPU based instances. For CPU-only instances, see CPU-only instance pricing.

Node type	Label	Cost per hour
AMD Epyc Milan	amd-epyc-milan	$0.010
AMD Epyc Rome	amd-epyc-rome	$0.010
Intel Xeon Ice Lake	intel-xeon-icelake	$0.010
Intel Xeon Scalable	intel-xeon-scalable	$0.010
Intel Xeon v4	intel-xeon-v4	$0.010

CPU-only instance pricing

Instances without a GPU attached are configurable as combinations of vCPU and system RAM.

For these instances, system RAM is included in the vCPU price. Combinations can be configured in multiples of the following.

CPU Type	Label	RAM per vCPU	Cost per vCPU per Hour
AMD Epyc Milan	amd-epyc-milan	4GB	$0.035
AMD Epyc Rome	amd-epyc-rome	4GB	$0.030
Intel Xeon Ice Lake	intel-xeon-icelake	4GB	$0.035
Intel Xeon Scalable	intel-xeon-scalable	4GB	$0.030
Intel Xeon v4	intel-xeon-v4	4GB	$0.020
Intel Xeon v3	intel-xeon-v3	4GB	$0.0125

RAM

RAM may be specified as an additional component on its own.

Component	Label	Cost per hour
System RAM per GB	memory	$0.005

Storage

Storage may be specified as an additional component on its own.

Storage type	Label	Price per GB per month
HDD Block Storage	block-hdd-<region>	$0.04
NVMe Block Storage	block-nvme-<region>	$0.07
Standard HDD Shared Filesystem	shared-hdd-<region>	$0.04
Standard NVMe Shared Filesystem	shared-nvme-<region>	$0.07
Premium NVMe Shared Filesystem	shared-vast-<region>	$0.10
Object Storage	N/A	$0.03

Networking

See the Networking documentation to learn more about these options.

Component	Cost
Public IP Address	$4.00 per IP / month
Burstable IP Address	$10.00 per IP / month
VPC	$20.00 per VPC / month

Public IP address pricing

IP Addresses are billed at $4.00 per IP per month.

For periods of use less than one month, this charge is prorated by the minute just as all other billing. If a public IP address is assigned to an instance but the instance is not running, billing will continue to accrue for this reserved Public IP Address.

Example configurations

Below is an example configuration provided in an excerpt of a YAML manifest, in which 6 AMD Epyc Rome vCPUs with 24GB of RAM are requested.

tip

In this example, the node type is chosen using an affinity. For more information on using affinities to select hardware, see Node Types and Advanced Label Selectors.

  containers:
  - name: epyc-example
    resources:
      requests:
        cpu: 6
        memory: 24Gi
      limits:
        cpu: 6
        memory: 24Gi

  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: node.coreweave.cloud/cpu
            operator: In
            values:
              - amd-epyc-rome

In this example, the requested resources are:

CPU amount	Instance type	Unit cost per hour	System RAM
6	AMD Epyc Rome	$0.03	24Gi

The total per hour cost of this instance would be $0.03 x 6, equaling $0.18 per hour.

In this example, a hardware configuration of 4 Tesla V100 NVLINK GPUs with 32 Intel Xeon Scalable vCPU and 128GB of RAM is requested:

  containers:
  - name: v100-example
    resources:
      requests:
        cpu: 32
        memory: 128Gi
        nvidia.com/gpu: 4
      limits:
        cpu: 32
        memory: 128Gi
        nvidia.com/gpu: 4

  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: gpu.nvidia.com/class
            operator: In
            values:
              - Tesla_V100_NVLINK

In this example, the requested resources are:

Instance type	Instance count	Unit cost per hour
Tesla V100 NVLINK	4	$0.80

vCPU count	vCPU cost per hour
32	$0.01

RAM amount	RAM cost per hour
128Gi	$0.005

The per hour cost of these resources equals ($0.80 x 4) + ($0.01 x 32) + ($0.005 x 128), or $4.16 per hour.

Billing periods

All CoreWeave Cloud billing periods cover the calendar month.

For example, a billing period that begins on 1 January 12:00am UTC ends on 1 February 12:00am UTC.