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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.

Pump logo
Pump
✓ verifiedFree

Free cloud cost-optimization platform that pools buying power to give startups enterprise-level AWS, GCP, and Azure discounts.

64K visits/mo3.2K saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
ImageKit logo
ImageKit
✓ verifiedFreemium

ImageKit is an image and video optimization and delivery API with a DAM and creative automation for developers and teams.

1.0M visits/mo
Pricing

No public pricing

No public pricing

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

No public pricing

Free trial available

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
  • Automated cloud spend optimization
  • Group buying for enterprise discounts
  • Cost visibility and insights dashboards
  • Coverage across AWS, GCP, and Azure
  • No-cost service model
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
  • Real-time image/video optimization and URL-based transforms
  • AI and GenAI transforms (smart crop, background removal, generative fill, upscaling)
  • Global CDN delivery with sub-50ms response
  • AI-powered digital asset management
  • Creative automation for on-brand banners at scale
  • SDKs and integrations for major stacks and CMSs
Use cases
  • Increasing GPU cluster utilization
  • Cutting AI/compute infrastructure cost
  • Speeding up training and inference workloads
  • Getting more from existing hardware without migration
  • Reducing startup cloud bills
  • Automating reserved-capacity savings
  • Gaining visibility into multi-cloud spend
  • Accessing enterprise pricing without scale
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
  • Speeding up website and app media performance
  • Optimizing e-commerce and media images and video
  • Centralized digital asset management and collaboration
  • Adaptive video streaming
  • Generating thousands of on-brand banner variations
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