Free Cloud Credits

$500 in free YellowDog cloud credits to push your compute to the limit

Spin up production-grade clusters on YellowDog for high-scale workload orchestration – no YAML required. Just connect, run, and see how far your workloads can scale.

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Trial overview

Get hands-on with YellowDog using a pre-provisioned trial environment backed by $500 in free cloud credits. Run real workloads, measure performance, and see how intelligent orchestration handles scale.

Quant-optimised

Quant workloads run on dedicated infrastructure optimised for speed and scale.

Python & Ray ready

Reuse existing Python and Ray code without rebuilding infrastructure.

Faster simulations

Run larger Monte Carlo simulations in less time using scalable compute.

Parallel workloads at scale

Turn backtesting parallelised workloads from weeks into hours.

Claim $500 to scale workloads smarter with intelligent orchestration

Get hands-on with YellowDog and experience enterprise-grade orchestration at no cost. Use $500 in free cloud credits to build, test, and scale compute-intensive workloads.

What you get with your $500 YellowDog trial

30 days free trial period

Build, test, and run any type of AI/ML workload with $500 in free cloud credits.

Pre-provisioned cloud resources

Dedicated VPC, subnets, and security groups ready to go for your trial environment.

Pre-configured YellowDog account

CSTs, CRTs, allowances, groups, and image families set up for you from day one.

Ray-ready machine images

Machine images so clusters come up correctly that are ready configured for Ray.

Sample workloads & demos

Including Monte Carlo option pricing to start from a known-good baseline.

Transparent tagging & accounting

Every instance tagged with your trial details for easy cost and performance analysis.

QUANTITATIVE RESEARCH

Built for quant engineers who need fastest time to insight

Accelerates quantitative research by orchestrating compute for faster backtesting, simulation, and model execution.

Purpose-built for scale

Quant workloads run on dedicated infrastructure that is optimised for speed and scale.

Python and Ray ready

Reuse existing Python and Ray code without rebuilding infrastructure.

Parallel workloads

Orchestrated parallelised workloads so backtesting goes from weeks to hours.

Faster Monte Carlo

Run larger Monte Carlo simulations in less time using scalable compute.

PLATFORM ENGINEERING

Reduced friction for platform engineering teams

Optimised infrastructure for compute-intensive workloads, without expanding platform complexity

Optimised infrastructure

Reliable, scalable compute capacity without expanding platform complexity.

Spot orchestration

Benefit from multi-region spot orchestration and slash compute costs.

Production-ready

Production-grade clusters to scale workloads quickly without operational overhead.

AI/ML & batch jobs

Use YellowDog as a controlled “high-performance compute lane” alongside your existing Kubernetes and cloud estate.

GEN AI & INFERENCE

Faster Gen AI modelling and inference

Optimises compute for GenAI inference, delivering faster, more efficient model responses at lower cost.

High-throughput

Spin up production-grade inference clusters optimised for low latency.

Multi-region spot

Build and run even larger models on lower-cost multi-region compute.

Production-ready

Production-grade clusters to scale workloads quickly without operational overhead.

AI/ML & batch jobs

Use YellowDog as a controlled “high-performance compute lane” alongside your existing Kubernetes and cloud estate.

See YellowDog and Ray in action

Watch how we spin up production-grade clusters, distribute Python workloads at scale, and cut runtimes from hours to minutes—all from a single, Ray-native workflow.