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Simple deployment on Vultr for operational efficiency
Combining the solution with Vultr enables teams to access that AI acceleration with simple deployment, visibility, transparent pricing, and consistent availability. The free Vultr Kubernetes Engine control plane enables repeatable deployment and consistent scaling patterns. With the self-service Vultr Clusters, teams can create and modify clusters of Vultr Cloud GPU and Vultr Bare Metal servers at will, with a Slurm or Kubernetes workload scheduler and an observability suite built in, offering a straightforward path from planning to validation.
Tomorrow’s AI era requires a new infrastructure approach. Control your enterprise-scale AI environment with the AMD Helios rackscale solution on Vultr.
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AMD Helios™ Rackscale Solution Powered by AMD Instinct™ MI455X GPUs on Vultr
Access high-memory, rackscale-accelerated compute for training, inference, fine-tuning, and agentic AI workloads with flexibility, openness, and reliability.
AI projects are moving from single-model experiments to large-scale production services, necessitating simple deployment at scale with efficiency, control, and outstanding price-to-performance.
The AMD Helios™ rackscale solution, powered by AMD Instinct™ MI455X GPUs, on Vultr gives teams a quicker and more open path to scaling high-performance AI infrastructure. Built with open software, expanded memory capacity and bandwidth, standards-based networking, and security, it delivers an integrated infrastructure foundation for scaling AI without constraints or lock-in.
Open, rack-scale platform to power demanding AI workloads at scale
The AMD Helios rackscale solution features:
