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Tensorant vs Zarx

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

Tensorant compared with Zarx
DetailTensorant logo TensorantZarx logo Zarx
What it doesFine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure EU-resident inference API for open-weight language models
StageNot given MVP
FoundedNot given Not given
Based inNot given ES
Pricing modelFreemium Contact for pricing
PricingFree: $0 (1 training run per month, 1 model deployment, 1 member); Starter: $49/month (5 training runs per month, 5 model deployments, 1 member); Pro: $199/month (unlimited training runs, 1,000 model deployments, 10 included members, $30/month for each extra seat); Enterprise: custom pricing. Free i Not given
Key features
  • Train models with SFT, DPO, or RL using LoRA or QLoRA
  • Monitor training with real-time loss, time and cost tracking
  • Evaluate models by comparing base and tuned performance
  • Serve models as OpenAI-compatible API or wake-on-demand
  • Support for vision models including Gemma 4 and Qwen3.8
  • DPO preference learning from paired answers
  • Run budget-controlled experiments with hour and price limits
  • Download adapters as standard LoRA files or publish to Hugging Face
  • OpenAI-compatible Responses and Chat Completions endpoints
  • Streaming with Server-Sent Events
  • Function calling and tool use
  • Structured JSON output with schema validation
  • Audio transcription with file and live WebSocket modes
  • Text-to-speech with built-in and customizable voices
  • Speech-to-speech translation
  • Time series forecasting up to 1,000 periods
  • Per-key usage tracking and limits
  • Servers owned and operated by NPAW in EU
What makes it different
  • No training scripts required; workflow runs in console, CLI or via AI agent
  • GPU costs billed by your provider with zero markup from Tensorant
  • Data stays in your own storage; Tensorant keeps only workflow records
  • Free plan covers complete workflow on one model from import to API
  • Models are downloadable and portable to other platforms
  • Data residency in EU with no US sub-processor in the data path
  • OpenAI-compatible API so teams can keep existing integrations
  • Three capability levels—Z Ultra, Z Pro, Z Fast—on the same API
  • Operated by NPAW, which has run its own data infrastructure since 2008
  • ISO 27001, ISO 27701, ISO 42001 and ENS High certified
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check5 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1613
Referring domains (Majestic)31

4 details filled in for both companies.

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