Tensorant vs Centrifugo

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 Centrifugo
Detail	Tensorant	Centrifugo
What it does	Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure	Scalable self-hosted real-time messaging and state sync platform
Stage	Not given	Established
Founded	Not given	2023
Based in	Not given	CY
Pricing model	Freemium	Open source
Pricing	Free: $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	Open source version is free. Centrifugo PRO available with flat licensing (no per-connection or per-message fees) and requires contacting sales for a quote.
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	WebSocket, HTTP-streaming, SSE, WebTransport, and gRPC transports Channel history and message recovery Flexible authentication and authorization State synchronization with transactional consistency Connection event proxying to backend Online presence detection for users Efficient binary Protobuf protocol Resumable streams and transport fallback for AI applications
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	Set up once and works forever with no ongoing configuration needed Handles millions of concurrent connections with minimal hardware Self-hosted so messages and data never leave your infrastructure No per-connection or per-message billing Works in production at scale with proven reliability
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	51 no change since last check
Trust Flow (Majestic)	0	10
Citation Flow (Majestic)	16	37
Referring domains (Majestic)	3	346

5 details filled in for both companies.

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