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TAHO Labs logo
TAHO Labs
✓ verifiedPaid

Execution-fabric infrastructure that splits AI/compute workloads into units and packs GPUs to cut cost and raise utilization.

Brainboard logo
Brainboard
✓ verifiedFreemium

AI-driven platform to visually design multi-cloud infrastructure and auto-generate Terraform code with built-in CI/CD.

17K visits/mo
Defang logo
Defang
✓ verifiedFreemium

Developer tool that deploys Docker Compose apps (with LLMs and databases) into your own AWS, GCP or Azure account via one command.

20K visits/mo
sshx logo
sshx
✓ verifiedFree

Open-source, encrypted web terminal sharing tool letting people collaborate live on one command line via a browser link.

26K visits/mo
Pricing

No public pricing

Free: $0 (unlimited architectures and code generation)
Pro: $99/user/mo (Git, CI/CD, RBAC, remote backend)

Free trial available

Starter: $0 (1 cloud account)
Pro: $49/mo (1 account, +$29/mo per extra)
Enterprise: $499/mo (3 accounts, +$49/mo per extra)

No public pricing

Core features
  • Decomposes workloads into small routable units
  • Packs GPUs/CPUs to raise utilization
  • Works with Kubernetes, SLURM, CUDA and ROCm
  • Runs on cloud, on-prem and edge
  • Sits beneath existing orchestration with no rewrite
  • Visual multi-cloud architecture designer
  • Instant Terraform/OpenTofu code generation
  • Drift detection and remediation
  • Embedded visual CI/CD engine
  • GitOps workflow and RBAC
  • AI infrastructure generation from prompts
  • One-command deploy from Docker Compose
  • Deploys into your own or a customer's cloud account
  • Native managed LLM access (Bedrock/Vertex/Azure AI)
  • Managed Postgres, MongoDB and Redis
  • Auto-configured IAM, VPC, TLS and load balancing
  • Open-source CLI and cloud providers
  • One-command installation and session sharing via link
  • End-to-end encryption so the server cannot read terminal data
  • Multiplayer infinite canvas for arranging multiple terminals
  • Live cursors and chat for real-time collaboration
  • Cross-platform CLI for macOS, Linux and Windows
  • Distributed mesh networking for low-latency global connections
Use cases
  • Increasing GPU cluster utilization
  • Cutting AI/compute infrastructure cost
  • Speeding up training and inference workloads
  • Getting more from existing hardware without migration
  • Designing and deploying cloud infrastructure visually
  • Migrating to Infrastructure as Code
  • Standardizing Terraform modules and naming
  • Detecting drift between design and live cloud
  • Shipping AI agents and web apps to production
  • Deploying the same app across many customer clouds
  • Agencies deploying into client cloud accounts
  • Avoiding hand-written Terraform or Kubernetes
  • Pair debugging a remote server with a teammate
  • Teaching command-line skills over a shared live session
  • Sharing a CI/CD pipeline terminal for troubleshooting on GitHub Actions
  • Providing temporary cloud access without exposing SSH credentials
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