ASTRAGO
Background
AstraGo 2.1 Released

You've Deployed the GPUs.Now the Real Work Begins.

AstraGo is the enterprise AI platform that automates every operation after your GPU infrastructure goes live. From training to serving, it all comes together on a single platform.

Overview Background
OVERVIEW

Everything GPU operations need,
on a single platform

From rollout to operations, we simplify complex GPU infrastructure management into one unified platform.

From training to serving, end to end
Feature 01

From training to serving, end to end

Just bring your model file. BYOM, vLLM, and OpenAI-compatible APIs are generated automatically.

Automated enterprise operations
Feature 02

Automated enterprise operations

Orbit scheduler, policy-based resource reclamation, multi-tenancy, and unified monitoring.

Air-gap ready. No compromises.
Feature 03

Air-gap ready. No compromises.

True air-gapped support powered by an internal registry. Your data never leaves your environment.

CHALLENGES

You've Deployed the GPUs.Now the Real Work Begins.

The 6 problems we hear most often in the field, and AstraGo's answers.

GPU utilization stays below 30%

AstraGo's proprietary scheduler, Orbit, packs workloads densely to prevent resource fragmentation, while automatic reclamation policies instantly recover idle resources.

Company A utilization 28% → 81%

Every team uses different tools, so you have no visibility

Manage every cluster, workspace, and workload from a single control plane.

Company B inter-team resource conflicts down 80%

Urgent training jobs get buried in the queue

Guarantee your SLAs with priority queues, distributed training scheduling, and priority policies.

Company C urgent job wait 4 hours → 12 minutes

Infra staff are the bottleneck in turning models into services

Just upload your model files and BYOM automatically configures vLLM and Dynamo runtimes and generates an OpenAI-compatible API.

Company D model deployment 3 days → 30 minutes

Running AI in an air-gapped environment is far too complex

Full air-gapped operation built on an internal registry. Runs entirely within your infrastructure, with no external dependencies.

Company E: LLMs running reliably, fully air-gapped

You don't know how much of your GPU is being wasted

Start with a diagnosis from AstraMon. Simulate your current waste and the savings from adopting AstraGo, free of charge.

Background
FEATURES

Everything enterprises need

Orbit Scheduler
01

Orbit Scheduler

AstraGo's proprietary scheduler. Reliably runs high-density batch and distributed training workloads.

Workspace Multi-Tenancy
02

Workspace Multi-Tenancy

Workloads, volumes, source code, serving, and registries are all isolated at the workspace level. Project, organization, and team boundaries stay clearly defined.

GPU Partitioning
03

GPU Partitioning

Allocate a single GPU to multiple workloads reliably with NVIDIA MIG. Use GPU resources efficiently in finer-grained units.

Separate Batch and Interactive Modes
04

Separate Batch and Interactive Modes

Separate Batch Jobs (iterative learning and large-scale training) from Interactive Jobs (VS Code and Jupyter environments) to optimize resource efficiency and user experience at the same time.

Unified Monitoring and Reporting
05

Unified Monitoring and Reporting

Centralized Kubernetes cluster monitoring plus automatic weekly and monthly PDF report generation with scheduled delivery to recipients. Automatically generates executive-ready reports.

Enterprise Security
06

Enterprise Security

Enterprise SSO, container image vulnerability scanning, and full air-gapped support.

Workspace Details

One cluster,
multiple organizations, securely isolated

Five resource types are isolated per workspace.

Workspace A
Workloads
Volumes & Data
Source Code
Serving
Registry
Users, Permissions, Policies & Quotas
Monitoring, History & Reports
Workspace B
Workloads
Volumes & Data
Source Code
Serving
Registry
Users, Permissions, Policies & Quotas
Monitoring, History & Reports
Workspace C
Workloads
Volumes & Data
Source Code
Serving
Registry
Users, Permissions, Policies & Quotas
Monitoring, History & Reports
Clear boundaries by project, organization, and team
Prevents admin permission conflicts
Maintains efficiency as your organization scales
2.1 New Features

Just prepare your model file.
AstraGo handles the serving.

Everything from a trained model to a live API service is completed on a single platform. No need to write Helm charts or manifests.

1

Prepare Your Model

Automatic Hugging Face download or direct SFTP upload

2

Choose a Runtime

vLLM (single node) or NVIDIA Dynamo (multi-node distributed inference)

3

Automated Deployment

Kubernetes resources created automatically (no Helm or Manifests required)

4

Instant Validation

Start testing immediately once running, with a ChatGPT-style chat UI.

BYOM (Bring Your Own Model)

  • Automatic serving generation from model files
  • Automatic OpenAI-compatible API provisioning (Endpoint + Access Key)
  • Use your existing OpenAI SDK as-is
  • Connect to on-premises storage
  • Easy automatic download from Hugging Face
const openai = new OpenAI({
  baseURL: "https://your-astrago/v1",
  apiKey: "your-access-key"
});

Works with your existing OpenAI SDK as-is

SERVICES

Deployment is just the beginning.
We support you through stable production operations.

From incident response to operations training, AstraGo provides end-to-end professional services.

72h

72-Hour Recovery SLA

We target recovery within 72 hours of an incident, with support available on business days from 09:00 to 17:00.

Root Cause Analysis Report

We deliver a root cause analysis report along with measures to prevent recurrence, so similar issues don't happen again.

1x

Operations Best Practices Training

One complimentary training session per license to help standardize operational practices and enable stable in-house operations.

Ongoing Patches & Upgrades

We provide security patches and version upgrades, keeping your environment up to date long after deployment.

The remarkable metrics of infrastructure transformed by AstraGo

0x

GPU Operational Efficiency

0%

Average Resource Utilization

0min

Model Deployment Time

0h

Failure Detection Lead Time

ENVIRONMENTS

On-premises, cloud, or hybrid free from environment lock-in

On-Premises

  • Full data sovereignty guaranteed
  • Official air-gapped network support
  • Protect existing infrastructure investments

Typical Deployment

Finance · Public Sector · Defense

Cloud

  • Listed on the KT Cloud Marketplace
  • Get started instantly
  • Elastic scaling

Typical Deployment

Startups · Research Institutions

Hybrid

  • Single control plane
  • Policy-driven workload placement
  • Move freely between on-premises and cloud

Typical Deployment

Enterprise · Telecommunications

CUSTOMERS

12 organizations have partnered with us since Q3 2024

Together with trusted global partners, we're setting a new standard for AI infrastructure.

Korea Automotive Technology Institute
Seoul National University of Science and Technology
Korea Electrotechnology Research Institute
Hanwha Ocean
Korean National Police University
Seoul National University Bundang Hospital
Bank of Korea
Doosan
ICNIT
KAIST
POSCO DX
POSCO E&C
Korea Automotive Technology Institute
Seoul National University of Science and Technology
Korea Electrotechnology Research Institute
Hanwha Ocean
Korean National Police University
Seoul National University Bundang Hospital
Bank of Korea
Doosan
ICNIT
KAIST
POSCO DX
POSCO E&C
Utilization 28% → 81%
GPU utilization tripled, and we now run LLMs reliably in an air-gapped environment.
256% more nodes, same headcount
Our operations team stayed the same size, yet our cluster scaled to three times its previous size.
99% faster deployment
Model deployment time dropped from 3 days to 30 minutes.
ASTRAMON

See how much you could savein your own environment

AstraMon identifies waste in your current GPU infrastructure and estimates the savings you could achieve with AstraGo. Validate the impact with data from your own environment before you decide.

AstraMon Dashboard
AstraMon
GPU Utilization
34%
Zombie Processes
7
Estimated Monthly Savings
$36,000
NEXT

How would you like to get started?

Recommended

Assess Your Current State

Use AstraMon to see exactly how much GPU capacity you're wasting and how much you could save.

Talk to Our Team

Our experts guide you from environment analysis all the way through PoC.

See where resources are being wasted in your
environment right now

Start collecting data immediately after installation
and leverage historical data for more accurate diagnostics.