Efficient GPU resources,effortless AI infrastructure
AstraGo is an enterprise AI infrastructure platform that covers GPU allocation, workload execution, and operations management in a single environment.
AstraGo key capabilities
Resource allocation
Allocate GPU resources efficientlyto match each workload
Workload execution
Run AI training and inferencejobs reliably
Operations management
Manage GPU resources and workloadstogether on Kubernetes
Complex GPU infrastructure operations,on one platform
Manage resources and permissions by organization and project.
Optimize utilization with scheduling and GPU partitioning.
Check GPU and workload status in real time.
Simpler operations,higher GPU utilization.
GPU utilization
+81%
Deployment time
−99%
Air-gapped setup
In as little as 2 weeks
* Based on actual deployments. Results vary by environment.
AstraMon diagnosesGPU infrastructure efficiency first
AstraMon analyzes GPU utilization and cost efficiency, then simulates the impact of improvements to recommend an optimization path. Diagnose your current operations with AstraMon and optimize your GPU infrastructure with AstraGo.
GPU monitoring
See average GPU utilization, idle time, and day/hour heatmaps at a glance
Zombie process detection
Automatically detect processes that hold GPU memory without doing any compute
Inefficiency in currency
Estimate annual savings through an AstraGo adoption simulation
Automated reporting
Generate executive-ready reports automatically
Check our frequently asked questions
VIEW ALLCan AstraGo run on our existing GPU servers?
Yes. AstraGo works with existing NVIDIA GPU servers, and heterogeneous servers can be managed together on a single platform. We analyze your current infrastructure and requirements, then design and build a GPU cluster structure that fits your environment.
Which GPU environments are supported?
AstraGo supports the full NVIDIA GPU lineup and can be designed around on-premise environments. It supports both AI training and inference workloads, and GPU clusters built from multiple servers can be managed as one.
How long does it take to deploy AstraGo?
Installation usually takes about a day, though the timeline can vary with your environment. After that, we support your operations through configuration and optimization, stabilization, and training suited to your setup.
We want to use AstraGo in an air-gapped environment.
AstraGo can be used in air-gapped environments and other settings where security matters. It can be deployed with your security and network requirements in mind, and supports operations suited to on-premise environments.
How do we get maintenance and technical support after deployment?
AstraGo supports both AI training and inference workloads. GPU resources can be partitioned and allocated to match each workload, optimizing utilization so that several workloads run on a single GPU at the same time.
We want to run AI training and inference workloads together.
AstraGo supports both AI training and inference workloads. GPU resources can be partitioned and allocated to match each workload, optimizing utilization so that several workloads run on a single GPU at the same time.
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