Chalk-hosted

Run Chalk as a fully managed platform

Ship features in real-time without provisioning clusters, configuring orchestration layers, or managing scaling policies. Chalk operates the infrastructure so your team can focus on your models, features, and shipping value faster.

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Trusted by teams building the next generation of AI + ML

Enterprise-grade performance.

Real-time performance and scalability without moving data.

Focus on innovation, not infrastructure

Deploy instantly with Chalk’s fully managed environment. Your team can compute, store, and serve real-time features without provisioning clusters or maintaining pipelines.

Performance at scale

Chalk’s engine runs on Kubernetes in your cloud environment as a gRPC service. Feature computation and retrieval execute in single-digit milliseconds, even as workloads scale horizontally across models and teams.

Observability built in

Monitor every feature, dependency, and service in real time. Chalk provides feature level metrics, request tracing, dependency graphs, and runtime health dashboards.

Focus on innovation, not infrastructure

Deploy instantly with Chalk’s fully managed environment. Your team can compute, store, and serve real-time features without provisioning clusters or maintaining pipelines.

Performance at scale

Observability built in

Monitor every feature, dependency, and service in real time. Chalk provides feature level metrics, request tracing, dependency graphs, and runtime health dashboards.

Focus on innovation, not infrastructure

Deploy instantly with Chalk’s fully managed environment. Your team can compute, store, and serve real-time features without provisioning clusters or maintaining pipelines.

Performance at scale

Observability built in

Monitor every feature, dependency, and service in real time. Chalk provides feature level metrics, request tracing, dependency graphs, and runtime health dashboards.

We’re applying AI and ML at scale across key areas of our energy business with Chalk’s feature platform. It enables high-performance computation over diverse data sources using clean, reusable code.

Edward Li Staff AI/ML Engineer

Choose the model that fits your operational needs

Chalk-hosted

Self-hosted

Data control and residency

Data processed in a Chalk-managed, tenant-isolated VPC with multi-region support.

All data, features, and models stay in your infrastructure. Region control aligns with governance and regulatory needs.

Security and network control

Managed by Chalk with fine grained access controls and SOC 2 Type II, ISO 27001, and GDPR-compliance.

Inherits your IAM, networking, encryption, logging, and key management policies. Supports fully air-gapped deployments.

Performance and scale

Single digit millisecond feature retrieval with auto scaling on Chalk managed compute clusters.

Single-digit millisecond local feature retrieval using Chalk’s runtime, scaling on your infrastructure.

Control plane

Fully managed orchestration layer maintained by Chalk.

Control plane runs in your cloud or Chalk’s, managing orchestration, configuration, and metadata.

Infrastructure access

Chalk assumes a fixed role you assign in your cloud. Requires networking setup.

Easily configure access to data sources in your own cloud, where it already lives.

Observability

Export metrics and traces to Datadog, Prometheus, NewRelic, and more.

Maintenance and updates

Fully managed by Chalk with continuous updates.

Managed by your team, with optional Chalk-assisted upgrades.

Chalk-hosted

Self-hosted

Data control and residency

Chalk-hosted

Data processed in a Chalk-managed, tenant-isolated VPC with multi-region support.

Self-hosted

All data, features, and models stay in your infrastructure. Region control aligns with governance and regulatory needs.

Security and network control

Chalk-hosted

Managed by Chalk with fine grained access controls and SOC 2 Type II, ISO 27001, and GDPR-compliance.

Self-hosted

Inherits your IAM, networking, encryption, logging, and key management policies. Supports fully air-gapped deployments.

Performance and scale

Chalk-hosted

Single digit millisecond feature retrieval with auto scaling on Chalk managed compute clusters.

Self-hosted

Single-digit millisecond local feature retrieval using Chalk’s runtime, scaling on your infrastructure.

Control plane

Chalk-hosted

Fully managed orchestration layer maintained by Chalk.

Self-hosted

Control plane runs in your cloud or Chalk’s, managing orchestration, configuration, and metadata.

Infrastructure access

Chalk-hosted

Chalk assumes a fixed role you assign in your cloud. Requires networking setup.

Self-hosted

Easily configure access to data sources in your own cloud, where it already lives.

Observability

Chalk-hosted

Export metrics and traces to Datadog, Prometheus, NewRelic, and more.

Self-hosted

Export metrics and traces to Datadog, Prometheus, NewRelic, and more.

Maintenance and updates

Chalk-hosted

Fully managed by Chalk with continuous updates.

Self-hosted

Managed by your team, with optional Chalk-assisted upgrades.

Run Chalk without managing infrastructure

Chalk Cloud delivers real-time ML infrastructure as a service that is optimized, secure, and ready for production.

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Explore more of Chalk's data platform

Self-Hosted

Keep your data, features, and models within your VPC while leveraging Chalk’s feature store.

Feature Store

Define features once, and compute them on demand for training, batch scoring, and inference.

Real-Time Serving

Serve production features at inference time with single-digit millisecond latency.

Training Data

Generate point-in-time correct training datasets from production feature definitions.

Self-Hosted

Keep your data, features, and models within your VPC while leveraging Chalk’s feature store.

Feature Store

Define features once, and compute them on demand for training, batch scoring, and inference.

Real-Time Serving

Serve production features at inference time with single-digit millisecond latency.

Training Data

Generate point-in-time correct training datasets from production feature definitions.

Self-Hosted

Keep your data, features, and models within your VPC while leveraging Chalk’s feature store.

Feature Store

Define features once, and compute them on demand for training, batch scoring, and inference.

Real-Time Serving

Serve production features at inference time with single-digit millisecond latency.

Training Data

Generate point-in-time correct training datasets from production feature definitions.