CoreWeave, Inc. provides AI cloud infrastructure for compute-intensive training and inference workloads. Company news centers on GPU capacity, cloud platform performance, independent inference benchmarks, customer commitments, and product capabilities such as CoreWeave SUNK for deploying AI clusters across CoreWeave and multi-cloud environments.
Coverage also includes quarterly results, revenue backlog, capital-structure actions, private placements, senior notes offerings, and shareholder voting matters. Established in 2017 and listed on Nasdaq in March 2025, CoreWeave serves AI labs, startups, enterprises, and other customers building large-scale AI applications.
CoreWeave (CRWV) priced an upsized private offering of $3.7 billion aggregate principal amount of 2.875% convertible senior notes due 2033 on September 18, 2026.
The deal was increased from a previously announced $3.0 billion and includes an option for initial purchasers to buy up to an additional $500 million. The notes are senior unsecured, guaranteed by certain subsidiaries, pay 2.875% interest semiannually starting April 1, 2027, and mature on April 1, 2033, unless earlier repurchased, redeemed or converted. The initial conversion rate is 10.2194 shares per $1,000, implying a conversion price of about $97.85, a 22.50% premium to the $79.88 share price on September 17, 2026. Estimated net proceeds are about $3,644.5 million, or $4,137.0 million if the option is fully exercised, with approximately $498.8 million earmarked for capped call transactions and the balance for general corporate purposes.
CoreWeave (CRWV) reports that since June 30, 2026 it has continued to contract new compute capacity at higher prices.
In the third quarter of 2026, the company signed short-dated customer contracts of approximately three to six months, with pricing of about $40 million per megawatt, calculated as annualized revenue divided by the power required to service the related clusters. Early in the third quarter of 2026, CoreWeave added more than $25 billion of net new customer commitments that are not included in its revenue backlog as of June 30, 2026. Total contracted power rose to approximately 4.2 gigawatts as of August 11, 2026 from about 3.7 gigawatts as of June 30, 2026.
CoreWeave (CRWV) has established an at-the-market offering program under which it may sell up to 35,000,000 shares of Class A common stock.
Sales may be made from time to time through multiple financial institutions acting as sales agents, and through the offer and sale of borrowed shares by certain banks as forward sellers under a collared forward sale agreement. The program is intended to provide ongoing financing flexibility and support the company’s goal of moving its enterprise credit profile toward investment grade. CoreWeave is not obligated to sell shares and will decide on any sales based on market conditions, capital structure objectives, and applicable restrictions.
CoreWeave (CRWV) plans a private offering of $3.0 billion aggregate principal amount of convertible senior notes due April 1, 2033, subject to market and other conditions.
Initial purchasers are expected to receive an option to buy up to an additional $500 million of notes within 13 days of initial issuance. The notes will be senior unsecured obligations, fully and unconditionally guaranteed on a joint and several basis by CoreWeave subsidiaries that guarantee specified existing senior and convertible notes, will pay cash interest semi-annually, and may be converted into cash, Class A common stock, or a combination, at the company’s election. The interest rate, initial conversion rate and other key terms will be set at pricing.
CoreWeave intends to use part of the net proceeds to fund capped call transactions and the remainder for general corporate purposes. The notes will be offered only to qualified institutional buyers under Rule 144A and will not be registered under the Securities Act.
CoreWeave (CRWV) launched a multi-rack NVIDIA Vera Rubin NVL72 deployment on CoreWeave Cloud, aggregating hundreds of Rubin GPUs into a single scale-out cluster for agentic AI workloads.
The system links multiple NVL72 racks via NVIDIA Spectrum-X Ethernet, with each rack pairing 72 Rubin GPUs and 36 Vera CPUs, and each GPU connected by two NVIDIA ConnectX-9 SuperNICs. CoreWeave also expanded its AI Object Storage with cross-region write acceleration, enabling local-latency writes replicated in the background, and a new Archive tier designed for lower-cost, long-term retention of AI data without retrieval or early-deletion fees.
Blockfusion (private) / Blue Acquisition (BACC) announced that Blockfusion subsidiary North East Data has signed a 15-year anchor lease and companion expansion agreement with CoreWeave (CRWV) for capacity at Blockfusion’s Niagara Falls, New York AI and high‑performance computing campus.
The definitive agreements replace a prior non‑binding letter of intent and include two additional five‑year renewal options. Blockfusion is converting a decommissioned power plant into a predominantly low‑carbon, high‑density, liquid‑cooled AI data center leveraging existing grid interconnection and hydroelectric power. The lease is described as an important step in Blockfusion’s proposed business combination with Blue Acquisition, which is expected, subject to customary closing conditions, to create Blockfusion Digital Infrastructure (ticker “BDI”) as a publicly traded pure‑play HPC and AI infrastructure platform on Nasdaq.
CoreWeave (CRWV) launched a Physical AI Field Engineering offering that embeds its engineers with customer teams to build, validate, and deploy AI models using customers’ proprietary engineering data. The service is based on the team and methods from Monolith AI and runs on CoreWeave’s own infrastructure and integrated engineering AI stack, including Weights & Biases, marimo, CoreWeave ARIA, and domain-specific libraries.
Field engineers with backgrounds in automotive, aerospace, and mechanical engineering work alongside customers on real test, simulation, sensor, and telemetry data, validating models against the actual physics of each system. CoreWeave reports more than 100 projects across automotive, aerospace, and robotics, including building a race-radio transcription model for the Aston Martin Aramco Formula One Team that processes 40 channels at once. Engagements start with on-site scoping and deliver production-ready applications and agents operated by the customer’s own engineers.
Parallel Works and CoreWeave (CRWV) have deployed a fully managed AI and high-performance computing environment for DARPA’s Network of Optimal Dynamic Energy Signatures (NODES) program. The platform combines Parallel Works’ ACTIVATE control plane with CoreWeave’s AI native cloud to give NODES researchers rapid access to large-scale GPU computing for advanced biological modeling and AI.
The environment offers end-to-end operational support, dedicated NVIDIA HGX H100 capacity with high-speed InfiniBand networking, and unified orchestration through SUNK and CoreWeave Kubernetes Service. ACTIVATE manages user onboarding, identity, resource allocation and sharing, while providing utilization reporting for DARPA and each research team, and CoreWeave’s observability stack monitors infrastructure health to reduce downtime risks.
CoreWeave (CRWV)/b) announced that CEO and Co-Founder Michael Intrator will present at the Goldman Sachs Communacopia + Technology Conference in San Francisco. The session is scheduled for 4:45 p.m. Eastern Time on September 8.A live webcast and replay will be available on the CoreWeave investor relations site. The company states that it uses its investor relations page, X account, and LinkedIn page to share material information and to meet Regulation FD disclosure requirements.
CoreWeave (Nasdaq: CRWV) announced that Rescale, a digital engineering platform for the AI era, is expanding its cloud ecosystem to CoreWeave Cloud to support AI and simulation workloads for next‑generation product development. Rescale customers in aerospace, automotive, energy, life sciences, and manufacturing gain access to CoreWeave’s AI‑optimized infrastructure.
Integration with CoreWeave Kubernetes Service (CKS) enables scalable, containerized orchestration with high‑performance networking and storage, so engineering teams can run distributed simulations and AI models without managing underlying infrastructure. According to CoreWeave, its AI cloud delivers industry‑leading performance, supported by MLPerf benchmark results and top platinum rankings in SemiAnalysis ClusterMAX 1.0 and 2.0.