Sold by: YellowDog
Deployed on AWS
YellowDog is a high-throughput scheduling and cloud orchestration platform built for large-scale HPC, GenAI, and capital markets workloads. It enables teams to run massively parallel and compute-intensive workloads across AWS EC2, multi-region cloud infrastructure - accelerating time-to-result, maximising utilisation, and delivering predictable completion times at scale. Ideal for quantitative research, large-scale simulation, GenAI batch inference, risk analytics, extending Slurm-based HPC environments for cloud bursting, and replacing legacy schedulers that limit throughput and scalability.
Overview
As organisations scale compute-intensive workloads on AWS, infrastructure complexity increases rapidly - from securing access to preferred instance types and orchestrating across Regions to managing Spot market volatility and overcoming capacity constraints. YellowDog removes that complexity, enabling quantitative research, financial engineering, GenAI, and HPC teams to access massive CPU and GPU capacity with speed, predictability, and cost efficiency.
By combining ultra-high-throughput scheduling with dynamic, multi-region cloud orchestration, YellowDog accelerates time-to-result for both high-volume parallel workloads and tightly coupled HPC workloads. Precise, predictable completion times - down to the minute - enable teams to run more iterations and respond faster within critical trading, research, and reporting windows.
YellowDog combines a high-performance scheduler with a cloud orchestration engine engineered for rapid, compute provisioning at scale. It continuously selects and provisions the optimal mix of AWS capacity, including preemption-aware Spot Instances across Regions, Availability Zones, and EC2 instance types to maintain worker saturation, maximise utilisation, and deliver optimal price-performance.
YellowDog is effective for organisations that:
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Need to compress wall-clock time to accelerate results and improve compute efficiency for large-scale parallel or tightly coupled HPC workloads, turning multi-hour or overnight runs into shorter predictable execution windows on AWS.
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Wish to run workloads at full scale on 100% AWS Spot across multiple regions while prioritising AWS Graviton instances to maximise price-performance and infrastructure efficiency.
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Remove the throughput constraints of legacy scheduling systems with a modern platform capable of exceeding 40,000 tasks per second - transforming scale and execution speed for high-volume workloads.
The platforms is engineered and purpose-built for quantitative research, large-scale simulation, AI inference, extending Slurm-based HPC clusters into AWS for cloud bursting, and replacing legacy scheduling platforms that restrict performance and scale.
For pricing or commercial discussions, please contact sales@yellowdog.ai
Highlights
- GET RESULTS FASTER: Massively compress clock wall time for compute-intensive, time-critical workloads. Deploy massive clusters in seconds, sustain thousands of tasks per second, and drive ~99% utilisation to accelerate risk, pricing, and simulation workloads.
- INTELLIGENT COMPUTE ORCHESTRATION: YellowDog dynamically orchestrates AWS Spot and On-Demand capacity across regions and AZs, continuously monitoring for pre-emptions and rapidly re-provisioning instances to maintain near 100% worker saturation - enabling you to scale instantly and ensure highest cost efficiency.
- FULL FREEDOM TO USE ANY AVAILABLE CPU/GPU HARDWARE: Run across Linux, Windows, containers, and every major AWS silicon platform (Intel, AMD, ARM/Graviton, NVIDIA, Trainium) without paying additional licensing costs. YellowDog orchestrates the most cost-effective hardware for each workload.
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Dimension | Description | Cost/month |
|---|---|---|
Account | Account - tenant structure for 1 or more users | $999.00 |
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