Coreweave

GPU cloud provider offering high scalability and global data center coverage for robust performance.

Facts

Datacenter Tier: 4Founded: 2017Founders: Michael Intrator, Brian Venturo, and Brannin McBee.Funding: $12.7BGpu Variety: HighHeadquarters: Roseland, USAMerits: SOC II, ISO, NVIDIA PartnerPersistent Storage: Not Supported

$$$$

Price

High

Availability

Overview

CoreWeave is a cloud service provider specializing in high-performance GPU-powered infrastructure. With data centers across North America and Europe, the platform ensures low-latency access and high availability. CoreWeave maintains strict security and compliance standards, including SOC2 and ISO 27001 certifications, ensuring the secure handling of sensitive data.

Highlights

Wide Geographic FootprintRegions across multiple continents with widespread availability

Wide SelectionLots of GPU options from current generation and previous generations

Great AvailabilityGPUs are readily available for on-demand use

99% UptimeProvider offers an SLA on uptime exceeding 99%

Nvidia Cloud PartnerMember of Nvidia Cloud Partnership program

Features

01.

Virtual Machines

Instances are virtual machines for ease of use and smaller instances

02.

Bare Metal

Instances are bare metal for the best performance

03.

Managed Kubernetes

Offers fully managed Kubernetes clusters for simplified deployment and scaling

04.

Managed Databases

Provides fully managed database services for seamless scaling and maintenance

Pricing

CoreWeave provides flexible pricing options, including on-demand and long-term commitment plans. Users can benefit from cost savings through longer-term contracts, offering predictability for sustained workloads. The platform emphasizes transparent pricing, allowing users to align their budgetary requirements with their computational demands.

Availability

CoreWeave offers a vast GPU capacity, enabling users to deploy configurations ranging from a single GPU to thousands of GPUs per cluster. This scalability supports both small-scale and large-scale computational workloads.