CloudZero

Modular Cloud is Modular's cloud layer for distributed AI inference, built on the company's unified stack of MAX serving and modeling APIs and Mojo GPU kernels. It provides hosted inference endpoints for open or custom models, with deployments available in Modular's managed cloud or in a customer's VPC; self-hosted MAX and Mojo containers can also run on customer infrastructure. The service is presented as a tunable system in which users can adjust variables across MAX and Mojo and examine performance and cost trade-offs in a cloud lab. Its hardware-agnostic stack targets GPUs, CPUs, and other accelerators, with OpenAI-compatible APIs, custom-kernel support, workload tuning, and observability. Modular describes shared endpoints, dedicated endpoints, and custom-model deployments with per-token or per-minute pricing.

Crossplane is a Kubernetes-native, CNCF project for building cloud-native control planes without writing a custom control-plane implementation. Its extensible backend orchestrates applications and infrastructure across environments through declarative APIs, while its configurable frontend lets platform teams define schemas for internal infrastructure abstractions. It manages provider-backed managed resources (MRs), composite resources (XRs), and Compositions that package collections of infrastructure resources behind simpler interfaces. Kubernetes reconciliation continuously works toward the declared state through provider APIs, and custom functions can be developed as reusable building blocks within compositions.

Crusoe Cloud is Crusoe's cloud infrastructure platform for AI workloads, providing compute, storage, networking, GPU node pools, and a console for managing and observing GPU infrastructure. Crusoe describes its offering as AI infrastructure and cloud compute with an energy-first approach. Its Managed Slurm runs on Kubernetes: Slurm provides gang scheduling, topology awareness, and familiar sbatch workflows, while Kubernetes supplies dynamic resource management, node health handling, and observability. The platform's AutoClusters can notify operators, drain and replace a failed GPU node, requeue the workload, and resume training from a checkpoint without manual intervention; the demonstrations also cover sharing GPUs between training and inference as demand changes.

Google Cloud is Google’s cloud computing platform, providing hosted infrastructure, managed services, security, data management, and hybrid and multicloud capabilities. It includes Vertex AI for building and integrating AI applications and can host development workflows such as Claude Code.

Cisco's Tokenomics dashboard provides observability and interpretability for AI token usage and costs across providers. It organizes spend and adoption trends by person and team through an organization's hierarchy, forecasts budget burn, and provides a finance view that maps costs to the company's finance hierarchy. The dashboard supports custom provider pricing and post-hoc reconciliation when provider bills change after the fact. It was developed by the team formerly at Galileo and was taken from an initial customer call to general availability in 10 weeks.