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telemetry.dev vs LLMKube

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

telemetry.dev compared with LLMKube
Detailtelemetry.devLLMKube
What it doesTraces, tokens, and cost for every AI app. Kubernetes operator for self-hosted LLM inference
StageNot given Growing
FoundedNot given Not given
Based inUS US
Pricing modelfreemium free
PricingNot given Not given
Key features
  • Trace inspection for model calls and tool steps
  • Token usage and cost tracking
  • Error and latency analysis
  • Cost comparison by model and provider
  • Data capture and redaction controls
  • TypeScript SDK
  • Python SDK
  • OpenTelemetry/OTLP integration
  • Trace search and filtering
  • Pluggable runtime backends for vLLM, TGI, llama.cpp, and custom containers
  • HPA autoscaling based on real inference metrics
  • GPU layer offloading with custom sharding splits
  • Automatic model download and persistent caching
  • Prometheus and Grafana dashboards for inference metrics
  • CUDA 13 with NVIDIA Blackwell GPU support
  • Multi-GPU tensor parallelism and layer sharding
  • Foreman agentic coding with GitHub integration
What makes it different
  • Built on OpenTelemetry standard
  • Automatic cost calculation from token usage
  • Support for multiple language SDKs and frameworks
  • Privacy controls for prompt and completion storage
  • 20x cheaper than cloud with self-hosted inference on consumer GPUs
  • Kubernetes-native CRDs for Model and InferenceService, not wrappers around Kubernetes
  • One operator supports seven pluggable runtime backends with no code changes
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)12 no change since last check20 no change since last check
Trust Flow (Majestic)2118
Citation Flow (Majestic)2626
Referring domains (Majestic)90165

5 details filled in for both companies.

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