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.
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.