Key insights
- CoreWeave's record-breaking MLPerf training times for large AI models, utilizing NVIDIA's GB300 GPUs, highlight significant advancements in AI infrastructure. This achievement underscores the company's rapid growth and technological prowess in the AI hardware sector, potentially boosting investor confidence in related technology stocks and indicating strong demand for advanced computing resources.

LIVINGSTON, N.J. - CoreWeave, Inc. (NASDAQ:CRWV) announced results from the MLPerf Training v6.0 benchmark suite, completing DeepSeek-V3 671B model training in 2.02 minutes using 8,192 NVIDIA GB300 NVL72 GPUs across 2,048 nodes. The company, valued at $58.2 billion, has seen its stock surge 8.4% over the past week to $115.81, reflecting investor enthusiasm for its AI infrastructure capabilities.
The company submitted three GB300 NVL72 configurations for the DeepSeek-V3 671B workload. At 4,096 GPUs across 1,024 nodes, training completed in 3.09 minutes. At 2,048 GPUs across 512 nodes, the result was 5.54 minutes. CoreWeave was the only submitter in the v6.0 round to scale a GB300 platform beyond 2,048 GPUs on DeepSeek-V3, according to the company’s statement.
On a 4,096-GPU GB300 NVL72 deployment, CoreWeave reached the Llama-3.1-405B reference quality target in 9.77 minutes. The configuration used NVIDIA NeMo Framework Release 26.04 with NVIDIA Spectrum-X Ethernet running RoCE for scale-out fabric.
On an 8-node, 64-GPU NVIDIA HGX B200 cluster connected via InfiniBand, the company trained GPT-OSS-20B in 26.98 minutes and Llama-3.1-8B in 16.54 minutes.
"Training DeepSeek-V3 in two minutes on the largest GB300 cluster reflects years of metal-to-model engineering investment," said Chen Goldberg, Executive Vice President of Product and Engineering at CoreWeave. "These results came from the same infrastructure our customers run in production today, not a benchmark-only setup."InvestingPro identifies CoreWeave as a prominent player in the IT Services industry, with revenue growth of 130% in the last twelve months. The company maintains a strong gross profit margin of 69%, though analysts note it currently trades above InvestingPro’s Fair Value estimate. For deeper insights into CoreWeave’s financial health and growth trajectory, investors can access the comprehensive Pro Research Report, available for this and 1,400+ other US equities.
The results were achieved using CoreWeave Mission Control for health checks, SUNK for topology-aware scheduling, and rail-aware networking strategy. The company stated the tests ran on production infrastructure available to customers.
CoreWeave completed its public listing on Nasdaq in March 2025. The information is based on a press release statement from the company.
In other recent news, CoreWeave has announced the pricing of a significant private offering, totaling $1.25 billion in 9.625% senior notes and €2 billion in 8.500% senior notes, both maturing on July 15, 2032. The closing of this offering is anticipated to occur on June 18, subject to customary conditions. Additionally, CoreWeave is set to join the Nasdaq-100 Index, with this inclusion expected to take effect on June 22, 2026. This move will place CoreWeave among the 100 largest non-financial companies listed on the Nasdaq Stock Market.
In terms of analyst perspectives, Cantor Fitzgerald has reiterated an Overweight rating for CoreWeave, maintaining a price target of $167.00. The firm emphasized CoreWeave’s positioning in AI infrastructure as a key factor. Conversely, Bernstein has maintained an Underperform rating with a $67.00 price target, following an analysis of insider sales activity over the past 10 months. These developments provide a varied outlook from analysts on CoreWeave’s future performance.
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