Elastic Deployment for Instant Scaling
Deploy applications and GPU workloads that automatically adjust to demand, with zero infrastructure management.
Effortless GPU Infrastructure at Scale
Spin up GPUs in seconds, scale automatically, and run production workloads without managing infrastructure.
Automatic Scaling
GPU resources scale up and down automatically based on workload demand for training and inference.
Fast GPU Startup
New GPU instances are ready in seconds, enabling rapid response to traffic spikes or job queues.
Zero Infrastructure Management
Focus on your applications while scheduling, scaling, and infrastructure operations are fully managed.
Best for
Production inference services
Autoscaling keeps latency targets while optimizing cost..
Batch jobs with variable demand
Scale out for spikes, scale in when queues drain.
Large-scale training pipelines
Match cluster size to phase (data prep, training, validation).
Teams that need automatic scaling
Reduce manual ops for multi-tenant or 24/7 workloads.
You may not need this if
Running single-GPU experiments
Short-lived development workloads
Manual scaling is sufficient
Flexible deployment and
resource control
Choose how you deploy, where workloads run, and how resources are allocated.
Multiple Elastic Deployment Modes
Queue, Load-Balanced, and Custom modes allow you to handle different task types and scheduling strategies efficiently.
Custom Image Registry
Queue, Load-Balanced, and Custom modes allow you to handle different task types and scheduling strategies efficiently.
Multi-Region GPU Selection
Choose GPU resources across multiple regions for your workloads.
Cost-Effective GPU Pricing
Access high-performance GPUs at competitive prices.
Common Elastic Deployment use cases
01
Real-time inference services
Automatically scale GPU replicas based on trafficOptimize cost during off-peak hours
02
Batch processing & queues
Scale workers dynamically as jobs enter the queueNo idle GPUs when workloads finish
03
Large-scale training pipelines
Dynamically allocate GPUs across stagesHandle bursts without manual intervention