Latest Insights

Software-defined, scale-out storage systems for AI model training, inference, and high-performance computing workloads.

Together AI provides a cloud platform for developers to access, train, and deploy open-source AI models using its own GPU infrastructure and API services.

Replicate provides a cloud API for running and fine-tuning AI models, enabling developers to deploy machine learning models with minimal code.

Paperspace provides cloud-based GPU infrastructure and ML platform tools for developing, training, and deploying AI models.

Modal provides a serverless cloud platform where developers can run AI inference, training, and batch jobs using Python code, with automatic scaling and per-second billing.

A cloud platform providing GPU compute, storage, and Kubernetes orchestration for AI training and inference workloads.

Coiled provides managed Dask clusters in the cloud so Python data scientists can scale their code without infrastructure knowledge.

Inference.ai sells a unified platform for deploying AI agents, managing inference costs, renting bare-metal GPUs, and training AI builders.

Gradient AI sells machine learning models that help insurance companies predict claim costs, improve underwriting accuracy, and triage complex workers’ compensation claims.

Anyscale provides a managed platform for scaling AI workloads—data pipelines, model training, and inference—built on Ray, an open-source distributed computing framework.