01
Pick Your GPU
Choose from NVIDIA L4s to H100s — matched to your workload, your budget, your cluster.
GPU Workspaces for Regulated Teams
VS Code on GPU Hardware, Inside Your ATO Boundary, in 90 Seconds
Pick a GPU, click Launch, and you're in VS Code — with terminal, debugging, and extensions — in under 90 seconds. Aegis runs self-hosted inside your boundary. No tickets. No weeks of waiting. Security controls are already there.
DoD · IC · Critical Infrastructure Programs
90-Second GPU Access
Pick your GPU, click Launch, start coding
Native VS Code Experience
Terminal, debugging, extensions — not a browser knockoff
Deploy in a Week
One Helm chart on your existing Kubernetes cluster
Any Enclave
AWS GovCloud, Platform One, on-prem, air-gapped
The problem
Your Team Is Stuck. Here's Why.
ML engineers wait weeks for GPU access. Platform teams spend months wiring infrastructure. And compliance paperwork blocks everything from shipping.
01
Weeks to Get a GPU
Your ML engineers filed a ticket, waited for approval, and are still stuck in a browser-based Jupyter notebook with 200ms latency. Meanwhile, the mission deadline hasn't moved.
02
Months to Build the Platform
Your platform team spent 6 months assembling Transit Gateway, Network Firewall, Workspaces, Active Directory, and Kubeflow across 4 AWS accounts. And it still drifts.
03
Compliance Blocks Everything
Audits run on spreadsheets. Every deployment needs manual sign-off. The accreditation package is never quite done.
The solution
GPU Workspaces That Work the Way You Do
Aegis removes the bottlenecks — instant GPU environments, native VS Code, deployed on your cluster in a week. Security is built in, not bolted on.
Your data scientists go from zero to coding on a GPU in under 90 seconds. Your platform team deploys the whole thing with one Helm chart.
- ✓One-Click GPU Workspaces with Native VS Code
- ✓Security Built In, Not Bolted On
- ✓Works Across Your Clusters and Enclaves
Workspace readinessLive
GPU allocated
NVIDIA L4 through H100 — matched to your workload
VS Code connected
Terminal, extensions, debugging — native experience
Security verified
Controls checked automatically in the background
How it works
Four Steps to Your First GPU Workspace
From zero to coding on a GPU in under 90 seconds.
02
Launch Workspace
One click. Aegis allocates the GPU, spins up your workspace, and connects it to your project.
03
Connect via VS Code
Native VS Code opens with terminal, debugging, and your extensions. Not a browser — the real thing.
04
Start Coding
You're on a GPU in under 90 seconds. Security checks happen in the background automatically.
Why Aegis
Why Teams Switch to Aegis
Other tools make you choose between developer experience and security. Aegis gives you both — deployed in days, not months.
Native
Developer Experience
✓ Aegis
Native VS Code with terminal, debugging, extensions, and GPU access — no browser required
× Alternatives
Browser-based Jupyter with 200ms latency, limited debugging, no extensions
Fast
Deploy in Days, Not Months
✓ Aegis
One Helm chart on your existing Kubernetes cluster. Production-ready in about a week.
× Alternatives
6-month integration project across Transit Gateway, Network Firewall, AD, Kubeflow, and 4 AWS accounts
Built-in
Security That's Already There
✓ Aegis
NIST 800-53 and 800-171 controls pre-implemented. Audit logs and evidence export included.
× Alternatives
Manual policy mapping, spreadsheet audits, months of documentation
Portable
Runs Anywhere You Do
✓ Aegis
EKS, RKE2, OpenShift, Platform One, air-gapped, on-prem — same Helm chart
× Alternatives
SaaS-only or complex multi-tenant setups with limited enclave support
Compare
How Aegis Compares
Side-by-side: Aegis vs. the alternatives your team has tried
| SSH + Bastion | Workspaces + Kubeflow | Commercial MLOps | Aegis | |
|---|---|---|---|---|
| Time to first GPU | Hours–days (ticket, VM, key setup) | 3–6 months (TGW, NFW, AD, Kubeflow) | 4–8 weeks (enterprise deploy) | < 90 seconds — click Launch, pick GPU |
| Developer experience | SSH terminal or VS Code Remote-SSH | Browser Jupyter on remote VM | Vendor web UI | Native VS Code — terminal, debugging, GPU |
| Session timeout | No idle timeout | AD session policies | Vendor-managed | Auto-disconnect on inactivity, session revoked |
| Session security | Static SSH keys, no expiry | Long-lived RDP session | Vendor-managed | Single-use JWT, 5-min TTL, JTI tracking |
| Data on endpoint | VS Code caches files to local disk | Pixels only (RDP lockdown) | Varies by vendor | RAM-disk sandbox. Clipboard wiped, destroyed on exit. |
| Security controls | Manual bolt-on | Manual bolt-on | Partial | Built in — NIST 800-53, 800-171, CMMC L2 |
| Multi-tenancy | None (shared bastion) | Separate VMs per team | Built-in | Per-project namespace + RBAC + budgets |
| Deploy time | Days (bastion + VMs) | 3–6 months | 4–8 weeks | ~1 week (Helm chart + configuration) |
| What you maintain | Bastion, SSH keys, VMs, GPU drivers | TGW, NFW, AD, Kubeflow (20+ components) | Vendor contract | One Helm chart |
Aegis deploys inside your existing ATO boundary. Your network infrastructure (VPC, Transit Gateway, Firewall) stays customer-managed.
Security Controls
Aegis implements controls across NIST 800-53, 800-171, and CMMC Level 2 — including account management (AC-2), session security (AC-11/12), audit logging (AU-2/3), transmission encryption (SC-8/13), and endpoint protection (MP-7). Full control mapping available on request.
Core capabilities
Everything Your Team Needs to Ship
A modular platform that gives developers GPU workspaces, gives platform teams one thing to manage, and gives security officers complete visibility.
Native
Native VS Code Workspaces
Full VS Code with terminal, debugging, extensions, and GPU access. Ephemeral sessions with RAM-disk sandboxing and clipboard controls.
GPU
GPU Scheduling & Placement
Multi-cluster scheduler places workloads on NVIDIA L4 through H100 nodes based on availability, quota, and project priority.
Budget
Budget & Cost Control
Per-project budgets, real-time GPU spend dashboards, and alerts when burn rates exceed thresholds. Program-level chargeback built in.
Multi-Cluster
Multi-Cluster Orchestration
Coordinate workspaces across GovCloud, on-prem, and air-gapped clusters with shared configuration and drift detection.
Audit
Audit & Compliance
NIST 800-53 and 800-171 controls, structured audit logs, and OSCAL evidence export for your accreditation package.
Deploy
Deploy Anywhere
One Helm chart runs on EKS, RKE2, OpenShift, or Big Bang. Self-hosted inside your boundary — no SaaS dependency.
Packaging
Simple, Predictable Pricing
Deploy Aegis as a self-hosted platform, then add the modules your team needs. Per-node subscription means your budget maps to actual GPU usage — not vague platform seats.
Core Platform
GPU workspaces, scheduling, VS Code integration, and authentication. Self-hosted on your Kubernetes cluster.
Starts under $10K (GPC-eligible). Per-node subscription scales with your GPU fleet.
Operations Module
Real-time GPU spend dashboards, budget guardrails, cross-program chargeback, and usage alerts.
Know exactly what every team is spending before finance asks.
Enterprise Module
NIST 800-53 and 800-171 controls, OSCAL evidence export, structured audit logs, and accreditation support.
Everything your ISSM needs to sign off — generated automatically.
Pilot program
Get Your Team on GPUs in 2 Weeks
Run a 2–4 week pilot on your own cluster. Success means your data scientists are coding on GPUs in under 90 seconds and your platform team has one Helm chart instead of twenty components.
Starting at $9,500 (GPC-eligible) — we accept 3 pilot partners per quarter.
Trust
Deploys on Your ClusterGPC-Eligible PilotEnterprise Procurement Ready
Who it's for
Built for Every Role on Your AI Team
Whether you're writing models, running infrastructure, or securing the environment — Aegis gives you what you need.
Data Scientists & ML Engineers
Stop waiting. Pick a GPU, click Launch, and start coding in VS Code in 90 seconds. No tickets, no browser notebooks, no latency.
Platform & DevSecOps Teams
Stop building. One Helm chart replaces 6 months of Transit Gateway, Workspaces, AD, and Kubeflow integration. Manage one thing instead of twenty.
Security & Compliance Officers
Stop worrying. Every session is logged, every control is documented, and evidence export is automatic. Your accreditation package builds itself.
Built on Trust
Built by People Who've Done This Before
Aegis was built by a defense infrastructure engineer with 5+ years operating Kubernetes platforms and AI/ML infrastructure for IC and DoD programs. We've lived the pain this platform solves.
Proven in Production
- ✓Built on patterns validated in IC and DoD programs
- ✓Deploys inside your existing security boundary
- ✓Runs on the same Kubernetes you already operate
- ✓Architecture supports IL-4/5 classification levels
Designed for Your Stack
- ✓Compatible with Platform One and Big Bang
- ✓Runs on EKS, RKE2, OpenShift, and bare metal
- ✓Supports AWS GovCloud, on-prem, SCIF, and air-gapped
- ✓One Helm chart — not a 6-month integration
Enterprise Ready
- ✓Per-node subscription — predictable budgeting
- ✓Multi-cluster orchestration built in
- ✓GPC-eligible procurement path
- ✓Structured audit logs and evidence export
NIST · CMMC
Platform One Compatible
Self-Hosted
Shared Responsibility
You Own the Network. We Own the Application.
Aegis deploys inside your existing ATO boundary. Your infrastructure stays customer-managed.
Your Team
Network boundary
VPC, firewall, egress filtering, Transit Gateway
Kubernetes cluster
EKS, RKE2, OpenShift, or Big Bang
Encryption at rest
EBS, RDS, KMS key management
Compliance documentation
SSP, POA&M, assessment package
Endpoint MDM
Full disk encryption, clipboard policy, EDR
Continuous monitoring
Network scanning, vulnerability management
Aegis
Authentication & MFA
Keycloak OIDC, CAC/PIV, single-use tokens
Authorization (RBAC)
Fail-closed per-project access control
GPU scheduling & budgets
Placement, Kueue fair queuing, spend limits
Audit logging
Structured JSON per action — AU-3 format
Session security
5-min TTL, JTI tracking, inactivity timeout
Endpoint protection
Sovran RAM-disk, ephemeral tokens, clipboard wipe
Your security team inherits Aegis control statements for application-layer controls. Detailed NIST and CMMC mappings available on request.
See Aegis in Action
Run a pilot on your own cluster. Your data scientists will be coding on GPUs in under 90 seconds — deployed in about a week, not six months.
What You'll Get:
- ✓Native VS Code on GPU hardware — deployed inside your environment (GovCloud, on-prem, or air-gapped)
- ✓One Helm chart replaces Transit Gateway + Workspaces + AD + Kubeflow across multiple accounts
- ✓90-second time-to-GPU, real-time cost dashboards, and automatic audit logs
- ✓Starts at $9,500 (GPC-eligible) with per-node pricing that scales to your fleet