CoreWeave vs Together AI

CoreWeave Brings Up Multi-Rack NVIDIA Vera Rubin NVL72 Cluster

CoreWeave announced the deployment of a multi-rack NVIDIA Vera Rubin NVL72 cluster, marking a significant advancement in its AI infrastructure. The newsroom also features recent announcements including the launch of Physical AI Field Engineering, a partnership with Parallel Works for DARPA research, and expansion into Indonesia.

CoreWeave Leads Cloud Providers in MLPerf® Inference v6.1 Performance with NVIDIA Blackwell Ultra

CoreWeave announced it leads cloud providers in MLPerf Inference v6.1 performance with NVIDIA Blackwell Ultra, showcasing its AI infrastructure capabilities.

8-K Financial Filing Analysis for CoreWeave (2026-09-17)

CoreWeave, Inc. announced a multi-billion-dollar capital markets transaction comprising a private offering of $3.0 billion in convertible senior notes due 2033 (plus an option for up to an additional $500 million) under Rule 144A, accompanied by capped call transactions to mitigate potential share dilution. Concurrently, the company entered into an Equity Distribution Agreement allowing for the potential issuance and sale of up to 35,000,000 shares of Class A Common Stock via at-the-market (ATM) distributions or collared forward sale agreements through major banking syndicates, subject to a 30-day lock-up period following the notes pricing. Net proceeds will fund capped call instruments and general corporate purposes, including capital expenditures, debt reduction, and balance sheet strengthening to advance toward an investment-grade credit profile.

• Proposed private offering of $3.0 billion in convertible senior notes due 2033 under Rule 144A, with an initial purchaser option for up to an additional $500 million.
• Execution of an Equity Distribution Agreement covering up to 35,000,000 Class A common shares via ATM sales or collared forward sale contracts, with a 30-day post-pricing lock-up.
• Implementation of capped call transactions to manage equity dilution, with remaining proceeds allocated to CapEx, debt repayment, and accelerating the path to an investment-grade credit rating.

Together AI Product Team Shares AI-Native Workflow Stack

Together AI's product team, including CPO Charles Zedlewski and PMs Necoline Hubner and Pavneet Ahluwalia, outlined their AI-native product development stack in a podcast. The stack comprises four components: a shared context repository accessible by any AI harness, skills for feature research and PRD writing, an orchestrator for leadership, and agent evals. The team emphasizes collective productivity over individual gains, using multiple models like GLM and Kimi instead of relying solely on Anthropic. They validate products through agent-based tests, checking if AI agents can complete tasks using their documentation and API. The article also highlights Together AI's $8.3 billion valuation from its Series C round.

• Together AI is valued at $8.3 billion.
• Together AI's product team uses a four-component AI-native stack: shared context repo, skills, orchestrator, and agent evals.
• The team uses multiple AI models (e.g., GLM, Kimi) rather than only Anthropic's models.