Hydra Host Launches First Interruptible Bare Metal GPU Servers, in Beta for select partners

Hydra Host, a leader in high-performance compute infrastructure, has officially launched the industry’s first interruptible GPU instances for bare metal deployments, delivering flexible, cost-efficient compute options tailored for AI and machine learning teams operating at scale. 

Unlike traditional interruptible instances limited to virtualized cloud environments, Hydra’s solution offers the same raw performance and control of bare metal, with the added benefit of up to 50% cost savings for workloads that can tolerate preemption. 

“We built interruptible bare metal to achieve maximum utilization for our AI Factory partners, while giving AI Platforms more options and flexibility in available plans and pricing,” said Ariel Deschapell, CTO of Hydra Host. “This is the first time interruptible logic has been applied to the GPU server layer itself, not just abstracted through cloud virtualization.” 

Hydra Interruptible is ideal for teams running: 

• Cost-sensitive inference workloads 
• Kubernetes container orchestration or serverless 
• Distributed training runs 
• Benchmarking or burst experimentation 
• Low urgency but price sensitive compute workloads, like batch or Bitcoin seed phrase recovery 

This feature adds to Hydra’s growing suite of infrastructure tools aimed at modernizing GPU deployment for AI builders and operators. With global deployments across 40+ partner data centers and over 20,000 GPUs under management, Hydra is building the foundation for the next generation of AI infrastructure—flexible, distributed, and designed for monetization. 

Hydra customers interested in being one of the first to access interruptible reservations can contact [email protected].