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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
AquilaX logo
AquilaX
✓ verifiedFreemium

AI DevSecOps platform running 32 parallel scanners with an AI engine that cuts false positives and auto-generates fix PRs.

14K visits/mo
Google Opal logo
Google Opal
✓ verifiedFree

Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.

2.1M 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

Free: $0/mo
Premium: $19/mo
Ultimate: $99/mo (14-day trial)

Free trial available

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
  • 32 scanners (SAST, SCA, DAST, IaC, secrets, container)
  • Securitron AI false-positive filtering
  • AI auto-remediation with fix PRs
  • ASPM and CSPM posture management
  • CI/CD, IDE and MCP integrations
  • On-premises deployment option
  • Build AI mini-apps from natural-language prompts
  • Visual editor for prompt/tool workflows
  • Share created apps with others
  • No-code AI app prototyping
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
  • Scanning code and cloud for vulnerabilities
  • Reducing false-positive triage
  • Auto-fixing findings via pull requests
  • Meeting compliance (ISO 27001, PCI DSS, SOC2)
  • Prototyping an AI workflow quickly
  • Sharing a custom AI mini-app
  • Automating a task with chained prompts
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