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The AI revolution is no longer theoretical—it's here, and it's demanding infrastructure capable of scaling to meet the exponentially growing needs of enterprises.
(NASDAQ: CRWV), the AI-first cloud provider, has just delivered a landmark proof point of its leadership: a record-breaking submission to the MLPerf Training v5.0 benchmark, showcasing its ability to train the largest language models at unprecedented speed and scale. This milestone, achieved in collaboration with NVIDIA and IBM, positions CoreWeave as the go-to infrastructure partner for the next phase of AI adoption—and its stock is primed to surge.
CoreWeave's submission to MLPerf v5.0 used 2,496 NVIDIA Blackwell GPUs (GB200 NVL72) to train the 405-billion-parameter Llama 3.1 model in just 27.3 minutes—more than twice as fast as the nearest competitor. The achievement isn't just about speed; it's about scalability. The cluster demonstrated 91% scaling efficiency from 512 to 2,496 GPUs, a near-linear performance gain rarely seen beyond a few hundred GPUs. Competitors like AWS and Google Cloud lagged far behind: CoreWeave's cluster was 34x larger than the next cloud provider's submission and 4.8x larger than NVIDIA's standalone entry.
This isn't luck. CoreWeave's Slurm-on-Kubernetes (SUNK) platform ensures seamless job scheduling, while NVIDIA's fifth-gen NVLink and NVSwitch fabric eliminate bottlenecks. The result? 96% goodput—the ratio of useful compute time to total runtime—ensuring customers pay only for what they use.
Enterprises are racing to deploy large language models (LLMs) and multi-trillion-parameter AI systems, but traditional cloud providers like AWS and Google are struggling to adapt. Their general-purpose infrastructure can't match CoreWeave's purpose-built AI cloud, which reduces training costs by nearly 50% compared to legacy platforms.
The demand is clear:
- NVIDIA's Blackwell GPUs (used in CoreWeave's cluster) offer 2.6x faster time-to-train than prior H100 systems.
- OpenAI's $15.2B multi-year deal with CoreWeave underscores the company's role as a critical supplier to the industry's biggest players.
- SemiAnalysis' Platinum ClusterMAX™ rating certifies CoreWeave's ability to reliably scale to 10,000+ GPU clusters, a capability unmatched by rivals.

CoreWeave's financials scream opportunity. Its Q1 2025 revenue surged 420% YoY to $981.6 million, with a $25.9 billion revenue backlog—including an $11.2 billion OpenAI deal—securing years of predictable growth. Meanwhile, its adjusted EBITDA margin hit 62%, outpacing AWS's 50% and NVIDIA's 56%, despite $1.9 billion in Q1 capital expenditures.
Yet CoreWeave trades at a 20.9x EV/EBITDA multiple, far below AWS's 30x and NVIDIA's 29.5x price-to-sales ratio. This discount ignores its $1.6 GW contracted power capacity—enough to power 1.6 million homes—and its exclusive NVIDIA chip access, which will only widen its lead as the GB300 GPU (due late 2025) enters the market.
Critics point to CoreWeave's $314.6 million Q1 net loss, but this is a growth investment. The loss stems from non-operational factors like IPO-related stock compensation, not core operations. Meanwhile, its $7 billion 15-year lease with Applied Digital ensures it can scale without capital constraints, and partnerships with IBM (Granite models) and NVIDIA (chip supply) solidify its ecosystem dominance.
The $1.3 trillion AI infrastructure market by 2030 is CoreWeave's to lose—and it's not losing.
CoreWeave is the only pure-play AI infrastructure stock with the technical prowess, partnerships, and financial backing to dominate this space. Its MLPerf triumph isn't just a benchmark—it's a roadmap for enterprises desperate to deploy AI at scale.
With a $20–$23 billion CapEx plan for 2025 and a backlog that rivals the GDP of small nations, CoreWeave is building a moat no competitor can breach. Buy CRWV now—before the institutional crowd discovers what the data already proves: this is the stock to own as AI reshapes the economy.
The next decade belongs to those who can scale AI. CoreWeave is scaling first—and fastest.
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