TechPrufer
Sign inGet started

Blogs›Coreweave›Quant Research Infrastructure

Quant Research Infrastructure

Quant Research Infrastructure

4
posts
2026

CoreWeave ARENA provides a practical, production-like environment for evaluating AI workloads, moving beyond theoretical benchmarks to real-world performance, scaling, and cost analysis. It integrates with existing tools like Weights & Biases and CoreWeave Mission Control for operational visibility, supporting Kubernetes-native and Slurm-based orchestration. This allows teams to make informed infrastructure decisions with verifiable evidence before committing to production deployments. This post demonstrates the ability to run 10,000 Large-Eddy Simulations (LES) for CFD in 32 hours on CoreWeave's GPU cloud infrastructure, achieving NASA's CFD Vision 2030 target four years early. This showcases the platform's capability for high-throughput, high-fidelity engineering simulations.

2026

How nTop Hit NASA’s 2030 CFD Goal Early on CoreWeave | CoreWeave Blog

7/30/2026

This post details a proof of concept where nTop Fluids, a GPU-accelerated CFD solver, was used on CoreWeave's GPU cloud infrastructure to run 10,000 Large-Eddy Simulations (LES) in 32 hours. This achievement demonstrates the platform's ability to handle massive-scale, high-fidelity engineering simulations, specifically in the domain of Computational Fluid Dynamics (CFD) for drone aerodynamics, meeting and exceeding NASA's CFD Vision 2030 goals for rapid, large-ensemble simulation analysis. The experiment involved a Design of Experiments (DoE) methodology to generate 2,400 drone variants across 5 angles of attack, resulting in 10,000 total simulations.

Accelerating Quant Research with CoreWeave and Weights & Biases | CoreWeave Blog

5/20/2026

This post details the integration of CoreWeave Cloud with Weights & Biases to accelerate quantitative research. It highlights the benefits of CoreWeave's AI infrastructure for quant firms, including improved model FLOPs utilization, higher goodput, and fewer training interruptions. It also emphasizes the role of CoreWeave Mission Control™ for unified observability and diagnostics, and CoreWeave AI Object Storage (CAIOS) for fast data access and cost optimization. The post also outlines the specific contributions of Weights & Biases tools (W&B Models, W&B Registry, W&B Reports) in streamlining the quant research loop.

How Quant Researchers Are Rethinking Infra | CoreWeave Blog

5/20/2026

This post introduces the concept of 'Quant Research Infrastructure' as a distinct capability. It outlines the challenges faced by quantitative researchers with traditional on-premise infrastructure due to the demands of AI workloads, including data volume, research cycle acceleration, and rapid GPU advancements. It defines the requirements for mission-critical infrastructure in the AI era, emphasizing elasticity with control, performance at scale, reliability under load, and first-mover advantage with access to new hardware. The post contrasts general-purpose clouds with AI-native clouds, positioning CoreWeave's AI cloud as a purpose-built solution that delivers superior performance, efficiency, and reliability for these specific workloads, citing metrics like increased FLOPs per GPU-hour and higher goodput.

CoreWeave ARENA for practical workload evaluation

2/5/2026

Introduces CoreWeave ARENA, a dedicated AI lab for practical workload evaluation. It emphasizes running actual workloads in a production-mirroring environment to assess performance, scalability, and cost. The post details the setup process using marimo-based notebooks, the two-step evaluation methodology (fundamental validation and workload-shaped tests), and the integration with Weights & Biases for experiment tracking and CoreWeave Mission Control for operational visibility. It also highlights support for Kubernetes (CKS) and Slurm on Kubernetes (SUNK) orchestration.