$1.3B
Total funding
Across 5 rounds
Report
Full-stack AI platform for inference, fine-tuning, and GPU clusters
Depends
DependsBuy if you run open-source models or coding agents at serious production scale and have real budget.
Serious AI cloud for production-scale inference and training — overkill if you just need to call an LLM API.
$1.3B
Total funding
Across 5 rounds
$800M
Series C
Raised July 2026
99.9%
Uptime SLA
Enterprise-grade, elastic scaling
10,000
Chennai AI factory
NVIDIA B300 GPUs via L&T
Full stack: inference, clusters, fine-tuning, evals
No public security page found
Usage-based
Not disclosed
No known public vulnerabilities found in the sources reviewed.
Directories describe a full-stack AI cloud used by AI-heavy companies, but detailed independent user reviews are scarce.
Compare Together AI | The AI Native Cloud with each alternative.
Guess: Simplest hosted LLM API; no infrastructure to manage.
Guess: Comparable serverless inference for open models; worth price-comparing.
Together AI | The AI Native Cloud vs Fireworks AIGuess: Cheap on-demand GPUs for experiments and small fine-tunes.
Guess: Easier open-model hosting for smaller teams.
Based on 20+ public sources; news is strong on funding and scale, thin on hands-on user reviews and pricing.
Anonymous. You can change your vote.
Loading votes…
Ask if a use case fits. Answers stay inside this report and its sources.
Comments
One queue. No replies. Give a display name first. Limit: 7 comments per day.
No comments yet.