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From data to production in minutes
Skip the infrastructure complexity. Langtrain handles everything from training to deployment.
01
Connect
Upload datasets or connect to your data sources
02
Configure
Choose from 50+ models, set hyperparameters
03
Train
Watch your model learn in real-time
04
Deploy
One-click deployment with auto-scaling APIs
Model Training
The fastest way to train, fine-tune, and scale custom AI models on your data.
Upload your data
Drop your training files and we handle the preprocessing
Configure training
Choose from LoRA, QLoRA, or full fine-tuning
Monitor progress
Real-time metrics and GPU utilization
Deploy instantly
One-click deployment to production
One-Click Deploy
Production-ready inference APIs with auto-scaling, edge deployment, and enterprise SLAs.
Select environment
Cloud, on-premise, or edge deployment
Configure scaling
Auto-scale based on demand
Set up endpoints
OpenAI-compatible API format
Monitor performance
Real-time latency & request metrics
Analytics & Insights
Real-time visibility into training, inference, and costs with actionable insights.
Live monitoring
GPU utilization and training progress
Cost tracking
Budget alerts and usage analytics
Custom dashboards
Build your own views
Notifications
Slack, webhooks, and email alerts
Enterprise Ready
Built for scale & security
Production-grade infrastructure trusted by teams shipping AI to millions of users.
Enterprise Security
SOC 2 Type II compliant with end-to-end encryption and SSO.
99.9% Uptime SLA
Enterprise-grade reliability with 24/7 monitoring.
Auto-scaling
Scale from 0 to 10,000+ requests per second automatically.
Global CDN
Low latency inference across 30+ edge locations.
Private Cloud
Deploy on your own VPC with full data isolation.
Priority Support
Dedicated support with <1hr response time for enterprise.
Live Dashboard
Complete visibility. Zero complexity.
Track training progress, GPU utilization, and costs from a single intuitive dashboard.
Live training progress
GPU utilization metrics
Cost estimation
Dashboard/Monitoring
System Healthy
Medical LLaMA Fine-Tuning
Run ID: #ft-29384 • Started 2h 15m ago
Base Model
Llama-3-8b
Dataset
PubMed-QA
Method
QLoRAr=64, alpha=16
Status
Training
Training Loss
0.245
-12%Epoch 2/5
Validation Loss
0.312
-5%Best: 0.310
Throughput
4.2k
+8%tokens/sec
Loss Curve
Train
Val
Hardware
92%
GPU Util
18GB
VRAM
45GB
RAM
34°C
Temp
Just Added: Llama 3.1, DeepSeek V2, Qwen 2.5
Explore Pre-trained Models
We have expanded our hub with the latest state-of-the-art open models. Fine-tune or deploy instantly.
Language Models
State-of-the-art LLMs for chat, reasoning, and content generation.
Code Generation
Specialized models for code completion, refactoring, and review.
Data Analysis
Models optimized for structured data, SQL generation, and analytics.
Multimodal
Process text, images, and audio simultaneously for complex tasks.
Language Models
M
LLaMA 3.1D
DeepSeekQ
Qwen 2.5M
MistralBuilt for Everyone
Whether you're an indie developer training your first model or an enterprise team deploying at scale — we've got you covered.
GDPR
Compliant
AES-256
Encryption
<50ms
Avg Latency
5M+
API Calls/Day
50+
Base Models
<1hr
Response Time
Start free, scale when ready
No credit card required. Upgrade only when you need more.
Free
For developers & learners
₹00
- 1 model
- 100K tokens/month
- 3 agent uses/day
- Community support
- Basic analytics
Popular
Pro
For growing teams
₹1,499/month
- 10 models
- 5M tokens/month
- 100 agent uses/day
- Priority support
- Advanced analytics
- Custom fine-tuning
- API access
Enterprise
Custom solutions
Custom
- Unlimited models
- Unlimited tokens
- Unlimited agent uses
- Dedicated support
- SSO & SAML
- 99.99% SLA
- Custom contracts
Cost Calculator
Estimate Your Fine-tuning Costs
Fine-tuning is a one-time cost based on your model, dataset size, and training preferences. This is separate from your subscription for API access.
Fine-tuning
One-time cost based on model, dataset size, and training method. Pay only when you train.
API Access
Monthly subscription for inference and API calls. Predictable costs for production usage.
Fine-tuning Cost Calculator
One-time cost • Separate from subscription plans
10,000 examples(19.1 MB)
3 epochs
1 (Quick)5 (Standard)10 (Thorough)
Estimated Cost
₹1,680.75
one-time
LLaMA 3.2 90B Vision
Meta
3h
Est. Time
15.0M
Tokens
Training MethodLoRA
Use CaseChatbot / Assistant
Dataset10,000 examples (19.1 MB)
Epochs3
Final cost may vary based on actual training performance
Free to start • No credit card required
Start building withcustom AI models
Thousands of developers use Langtrain to fine-tune LLMs for their specific use cases. No ML expertise required.
5 min setupNo infrastructure neededSOC 2 Compliant
Frequently asked questions
Everything you need to know about Langtrain