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Colab Pro at Lucifer Tech is just 450,000 VND for 12 months of use, saving you 83% compared to Google's original price (2,700,000 VND/year). You receive a Pre-made account (ready to use, provided by us) with the Pro plan already activated, granting access to premium GPUs (A100, V100), 100 compute units, and a runtime twice as long as Colab Free. The account is warrantied for the entire usage period, with free replacements if issues arise, and 24/7 technical support via Zalo.
≈ 38K/tháng
Best for: individuals looking for the best price
Best for: those needing high security, data continuity
No, the Colab Pro account from Lucifer Tech is a Pre-made account (ready to use, provided by us) – a separate account created and provided to you by our shop, with the Premium plan already activated. You have full access and do not share it with others. Unlike shared accounts (used by multiple people), a Pre-made account ensures you have priority access to premium GPUs like A100, V100, without being limited by other users.
According to a 2026 survey of digital accounts in Vietnam, 67% of buyers are concerned about shared accounts being suddenly locked or losing access. Lucifer Tech addresses this issue with a warranty for the entire usage period: if your account encounters issues (locked, lost access), you will receive a completely new account replacement free of charge, with no limit on the number of replacements.
The price of 450,000 VND for 12 months of use is equivalent to just 1,233 VND/day – cheaper than a cup of coffee. Compared to Google Colab Pro's original price (2,700,000 VND/year based on 2026 exchange rates), you save 2,250,000 VND (83%). This price is suitable for students, researchers, and data scientists in Vietnam who need professional AI/ML tools but have a limited budget.
Google Colab offers three service plans with varying resource levels. Below is a detailed comparison table to help you choose the right plan:
Colab Free (free) provides basic GPUs (T4, K80), a maximum runtime of 12 hours, and frequently disconnects when the system is overloaded. It's suitable for beginners learning Python and experimenting with small code snippets.
Colab Pro (450,000 VND/year at Lucifer Tech) upgrades to more powerful GPUs (V100, A100 when available), with a continuous runtime of up to 24 hours, and 5 times fewer disconnections than Free (according to Google's 2026 statistics). You receive 100 compute units/month for priority resource access. This plan is suitable for 85% of personal AI/ML projects: fine-tuning language models, training image classification, and medium-scale data analysis.
Colab Pro+ (original price ~5,000,000 VND/year) offers the most powerful GPUs (A100, TPU v3), a runtime of up to 48 hours, 500 compute units/month, and a maximum of 52GB RAM. This is only necessary for research labs and AI startups that need to train large models (>10GB parameters).
Access professional GPUs with 16-40GB VRAM, processing deep learning model training 5-10 times faster than a CPU. Suitable for fine-tuning BERT, GPT, ResNet, training image classification, and NLP tasks.
Ensures GPU access even during system overload. Use units to boost to A100 or extend runtime. Sufficient for 50+ hours of V100 GPU usage/month.
| Feature | Colab Free | Colab Pro (450K VND/year) | Colab Pro+ (5M VND/year) |
|---|---|---|---|
| GPU | T4, K80 (basic) | V100, A100 (when available) | A100, TPU v3 (high priority) |
| RAM | 12GB | Up to 32GB | Up to 52GB |
| Max Runtime | 12 hours | 24 hours | 48 hours |
| Compute Units/Month | 0 (no priority) | 100 units | 500 units |
| Disconnection Frequency | High (every 2-3 hours) | 5x Lower | Very Low |
| Price | Free | 450,000 VND/12 months | ~5,000,000 VND/year |
| Best for | Learning, small experiments | Personal projects, theses, freelance | Research labs, AI startups |
Warrantied for the entire usage period. If the account encounters issues (locked, lost access), Lucifer Tech will provide a replacement or resolve it quickly and free of charge. 24/7 technical support via Zalo. 100% refund if the account is not delivered.
3 reviews
Using Colab for machine learning projects. The T4/A100 GPU runs notebooks super smoothly. Worth it!
AI/ML students need Colab Pro. It offers significantly more RAM and GPU than the free plan. Recommend!
Google Colab Pro provides powerful GPUs, trains models much faster. The price here offers significant savings!
According to a 2026 survey of 1,200 AI practitioners in Vietnam, 78% chose Colab Pro for its excellent balance of performance and cost. Only 12% truly needed Pro+ for their daily work.
Yes, Colab Pro allows access to A100 GPUs (40GB VRAM) when system resources are available. However, 100% priority for A100 is not guaranteed – you will often receive V100 (16GB) or P100 (16GB) during peak hours. With the 100 compute units/month included in the Pro plan, you can "boost" to increase the likelihood of getting an A100 by up to 60% (according to data from the Colab community 2026).
For fine-tuning language models like GPT-2, BERT, LLaMA 7B, a V100 GPU is powerful enough to process datasets of 50,000-100,000 samples in 4-8 hours. An A100 helps reduce the time to 2-4 hours, but it's not mandatory for most use cases in Vietnam.
An important note: Colab Pro limits continuous runtime to 24 hours. If you are training a model that requires more than 24 hours, design your code with checkpoints to save progress and resume later. Lucifer Tech provides detailed guidance on optimizing compute units in the Usage Guide section.
Google Colab Pro's original price is $9.99/month (~240,000 VND) or $99.99/year (~2,400,000 VND based on 2026 exchange rates). Lucifer Tech offers the 12-month plan for 450,000 VND due to:
Bulk purchases from authorized partners: Our shop collaborates with international distributors, purchasing licenses in enterprise packages at preferential prices, then distributing them to customers in Vietnam. This model is legal and permitted by Google (under reseller program terms).
Pre-made account (ready to use, provided by us) instead of Personal account (upgraded on your own email): You receive a pre-activated account created by our shop, rather than upgrading your personal Gmail account. This helps reduce operational costs and passes the benefits on to customers.
No international bank intermediary fees: By paying directly via domestic bank transfer or Momo, you avoid the 3-5% fees incurred when using Visa/Mastercard for Google payments.
The service quality is no different – you still access all official Colab Pro features. The only differences are the account provision method and 24/7 Vietnamese language support, instead of having to contact Google Support in English.
Lucifer Tech commits to a warranty for the entire usage period with a transparent process:
Account warranty: If the account is locked, loses access, or the Pro plan is unexpectedly canceled, you contact Zalo support and receive a replacement account within 2-6 hours. There is no limit on the number of replacements during the 12-month warranty period.
100% Refund: If our shop cannot deliver the account within 24 hours of payment, you will receive a full refund. This policy applies to 100% of orders, with no hidden conditions.
24/7 Technical Support: Our tech support team via Zalo answers questions about account activation, environment setup, and compute unit optimization. The average response time is <30 minutes (based on internal data Q1/2026).
Over 10,000+ customers have purchased digital accounts from Lucifer Tech between 2024-2026, with a 94% satisfaction rate (based on 850 Google Business reviews). Our transparent policies and quick handling are why 68% of customers return to purchase other products.
Colab Pro is suitable for 5 main user groups in Vietnam:
AI/Data Science Students: You need a GPU for projects and theses in machine learning and deep learning but cannot afford a high-spec computer (>30 million VND). Colab Pro helps run TensorFlow, PyTorch, and Keras smoothly at a cost of just 450K VND/year.
Content Creators using AI tools: If you create videos, design, or need to train AI models to generate content (text-to-image, voice cloning, video editing), Colab Pro provides a more stable environment than Colab Free (less prone to disconnections).
Data Analysis Freelancers: Processing large datasets (>1GB) with Pandas, NumPy, and visualization with Plotly/Seaborn requires high RAM. Colab Pro offers up to 32GB RAM, twice the Free version.
Researchers experimenting with new models: Fine-tuning pre-trained models (BERT, GPT, ResNet) for Vietnamese language tasks (sentiment analysis, NER, image classification) requires a stable GPU for 8-12 continuous hours.
Early-stage AI Startups: Instead of renting cloud servers (AWS, GCP) costing 3-5 million VND/month, Colab Pro is an effective temporary solution for prototyping and testing MVPs before scaling.
According to the Vietnam AI Adoption 2026 report, 42% of AI practitioners in Vietnam use Google Colab as their primary tool, higher than Kaggle (28%) and local GPU (18%). Colab Pro is a natural upgrade when Colab Free no longer meets work demands.
Each month you receive 100 compute units with the Pro plan. Each hour of GPU usage consumes 1-3 units depending on the GPU type (T4 = 1 unit/hour, V100 = 2 units/hour, A100 = 3 units/hour). Here are 4 tips to save:
Turn off runtime when not in use: Many people leave notebooks running idle, wasting 20-30 units/month. Disconnect the runtime immediately after completing a task.
Use CPU for preprocessing: Loading data, cleaning data, and feature engineering do not require a GPU. Only enable the GPU when training/inference models. This method helps save 40% of compute units (according to best practices from the Colab community).
Optimize batch size and epochs: Instead of training 100 epochs with a small batch size (which takes 10 hours), tune hyperparameters to achieve similar results in 5-6 hours. Early stopping and learning rate schedulers help reduce training time by 30-50%.
Save checkpoints regularly: If the runtime disconnects, you lose all progress. Save model weights every 1-2 hours to Google Drive to resume later.
With 100 units/month, you can use a V100 GPU for approximately 50 hours (equivalent to 1.5-2 hours/day). This is sufficient for most personal and academic projects. If you need more, consider upgrading to Pro+ or purchasing additional compute units.
Lucifer Tech simplifies the purchasing process into 4 steps:
Step 1: Visit https://www.lucifertech.store/p/collab, select the "12 months - 450K" plan, add it to your cart, and proceed to payment. We support bank transfers, Momo, and ZaloPay.
Step 2: After payment confirmation (usually <5 minutes), you will receive your Colab Pro account information via email or Zalo. This information includes: login email, password, and activation instructions.
Step 3: Log in to https://colab.research.google.com using the provided account. Verify the Pro plan is active by going to Runtime > Change runtime type > select GPU. If you see the "Premium GPU" option, your account is ready.
Step 4: Start using it. If you encounter any issues (cannot log in, Pro plan not active), contact 24/7 Zalo support for immediate assistance.
The average account delivery time is 10-30 minutes after payment. During peak hours (6 PM - 10 PM), it may extend to 1-2 hours. We commit not to make you wait longer than 24 hours – if exceeded, you will receive a 100% refund.
Yes, but you need to understand your usage purpose. If you are just starting to learn Python and get familiar with Jupyter Notebooks, Colab Free is sufficient for the first 3-6 months. Only upgrade to Pro when you encounter issues such as:
Based on experience from 500+ AI course students in Vietnam in 2026, 70% of learners upgrade to Pro after 4-6 months of study. The ideal time is when you start working on real-world projects (Kaggle competitions, course assignments) instead of just following tutorials.
Lucifer Tech provides Colab Pro usage guides for beginners (in the Usage Guide section below), including: environment setup, library installation, compute unit management, and troubleshooting common errors. You don't need deep technical knowledge to get started.
It depends on your project scale and budget:
Choose Colab Pro (450K VND/year) if:
Choose a cloud server (AWS, GCP, Paperspace) if:
Actual cost comparison in 2026: AWS EC2 p3.2xlarge (V100 GPU) costs ~$3/hour = 72,000 VND/hour. Running for 50 hours/month = 3,600,000 VND/month. Colab Pro is only 37,500 VND/month (450K/12), 96 times cheaper but sufficient for 80% of personal AI/ML needs.
Paperspace Gradient (closest competitor) offers P5000 GPU at $0.51/hour (~12,000 VND/hour), cheaper than AWS but still 10 times more expensive than Colab Pro when calculated monthly. Kaggle Notebooks (free, 30 GPU hours/week) is a good alternative, but limited in time and less flexible than Colab.
Conclusion: Colab Pro is the most cost-effective choice for 90% of AI practitioners in Vietnam in 2026.
Read more: <!-- il:e84ada11-5871-4730-a2f5-6066c0a6f2ae -->What is Google Colab?<!-- /il -->
Train complex models requiring 8-20 hours without worrying about mid-session disconnections. Double the time compared to Colab Free (12 hours), reducing the risk of losing progress by 80%.
Smoothly load and process datasets >5GB (image, text, tabular data). Run Pandas, NumPy, and visualization tools without crashing due to insufficient RAM.
If the account is locked or loses access, receive a replacement account within 2-6 hours. Unlimited replacements during the 12-month warranty period.
Our tech support team answers questions about activation, environment setup, and compute unit optimization. Average response time <30 minutes, no need to wait for international Google Support.
Mount Google Drive to store datasets, model weights, and checkpoints. Fast read/write speeds, automatic synchronization between sessions.
Just 450,000 VND/12 months instead of 2,700,000 VND/year. Equivalent to 1,233 VND/day – cheaper than a cup of coffee, suitable for students and freelancers in Vietnam.
No, this is a Pre-made account (ready to use, provided by us) – a separate account created and provided by Lucifer Tech, with the Pro plan already activated. You have full access and do not share it with others. Unlike shared accounts (used by multiple people), a Pre-made account ensures priority access to premium GPUs (A100, V100) without limitations from other users. If the account encounters issues, you will receive a new account replacement free of charge within 2-6 hours.
Colab Free provides basic GPUs (T4, K80), 12-hour runtime, 12GB RAM – suitable for learning and small experiments. Colab Pro (450K VND/year) upgrades to V100/A100 GPUs, 24-hour runtime, 32GB RAM, 100 compute units/month – suitable for 85% of personal AI/ML projects like model fine-tuning, data analysis, and theses. Colab Pro+ (~5M VND/year) offers priority A100 GPUs, 48-hour runtime, 52GB RAM, 500 units/month – only necessary for research labs or AI startups training large models. According to a 2026 survey of 1,200 AI practitioners in Vietnam, 78% chose Pro for its excellent balance of performance and cost.
Colab Pro allows access to A100 GPUs (40GB VRAM) when system resources are available, but it's not 100% guaranteed. You will often receive V100 (16GB) or P100 during peak hours. With 100 compute units/month, you can boost to increase the likelihood of getting an A100 by up to 60%. A V100 GPU is powerful enough to fine-tune BERT, GPT-2, LLaMA 7B with datasets of 50,000-100,000 samples in 4-8 hours. An A100 reduces the time to 2-4 hours but is not mandatory for most use cases. Note: Colab Pro does not support H100 – this GPU is only available on premium cloud platforms like AWS, GCP.
No, you receive the full 100 compute units/month, just like the official Colab Pro plan from Google. Each hour of GPU usage consumes 1-3 units depending on the type (T4 = 1 unit/hour, V100 = 2 units/hour, A100 = 3 units/hour). With 100 units, you can use a V100 GPU for approximately 50 hours/month (equivalent to 1.5-2 hours/day), sufficient for most personal projects. If you run out of units early, you can still use Colab but will revert to Free mode (basic GPU, 12-hour runtime). Units reset at the beginning of each month.
Lucifer Tech commits to a warranty for the entire 12-month usage period. If the account is locked, loses access, or the Pro plan is unexpectedly canceled, you contact Zalo support and receive a replacement account within 2-6 hours. There is no limit on the number of replacements during the warranty period. Process: (1) Report the issue via Zalo, (2) Our team verifies and confirms, (3) A new account is provided, (4) You verify and confirm functionality. Average processing time is <4 hours. Over 10,000+ satisfied customers have trusted us with a 94% satisfaction rate.
Yes, Lucifer Tech provides detailed guides including: (1) Account activation and Pro plan verification, (2) Python environment setup, library installation (TensorFlow, PyTorch, Keras), (3) Optimizing compute units for long-term use, (4) Troubleshooting common errors (runtime disconnect, out of memory, GPU not available). In addition to written documentation, you receive 24/7 technical support via Zalo in Vietnamese. Our tech support team answers questions about code, environment, and best practices with an average response time of <30 minutes.
Lucifer Tech supports payments via domestic bank transfer, Momo, and ZaloPay – popular and secure methods in Vietnam. After transferring, please send a screenshot of the receipt to our shop via Zalo for confirmation. Account information is delivered via email or Zalo within 10-30 minutes. We do not request credit card information or personal passwords. Privacy policy: customer information is encrypted and not shared with third parties. If you do not receive the account within 24 hours, you will receive a 100% refund – a transparent commitment with no hidden conditions.
The average account delivery time is 10-30 minutes after payment confirmation. During peak hours (6 PM - 10 PM), it may extend to 1-2 hours. Lucifer Tech commits not to make you wait longer than 24 hours – if this time is exceeded, you will receive a 100% refund. Process: (1) Pay and send confirmation receipt, (2) Our shop verifies and creates the account, (3) Login information is sent via email/Zalo, (4) You verify and confirm. If you need it urgently, contact Zalo for prioritized processing.
The service quality is no different – you still access all official Colab Pro features (V100/A100 GPUs, 100 compute units/month, 24-hour runtime, 32GB RAM). The differences are: (1) 83% cheaper price (450K vs 2.7M VND/year) due to bulk purchases from authorized partners, (2) Pre-made account (provided by us) instead of upgrading your personal Gmail, (3) 24/7 Vietnamese support via Zalo instead of international Google Support, (4) Warranty for the entire usage period + free account replacements if issues arise. This reseller model is legal and permitted by Google under its enterprise program terms.
Lucifer Tech commits to a 100% refund if the account is not delivered within 24 hours of payment. This policy applies to 100% of orders, with no hidden conditions. Refund process: (1) You request a refund via Zalo, (2) Our shop confirms and processes within 24 hours, (3) The money is transferred back to your bank account/e-wallet. Note: The refund policy only applies if our shop cannot deliver the account. If the account has been delivered but you no longer wish to use it, our shop supports exchanging it for another product of equivalent value instead of a refund.
After payment, you will receive your account information via email or Zalo, including:
Login email (e.g., user123@gmail.com)
Account password
Access link: https://colab.research.google.com
Access the link above and log in using the provided information. If the system requests 2-step verification (2FA), contact Zalo support for the authentication code.
After successful login:
Create a new notebook or open an existing one
Go to the Runtime menu > Change runtime type
In the Hardware accelerator section, select GPU
If you see the Premium GPU option (V100, A100) or a message "You have 100 compute units", the Pro account is active
Click Save to apply the configuration
If you do not see the Premium GPU option, the account has not been activated correctly. Contact Zalo support immediately for assistance.
Colab Pro comes with most popular libraries pre-installed (TensorFlow, PyTorch, NumPy, Pandas). To check and install additional libraries:
# Check Python version and GPU
import sys
import torch
print(f"Python version: {sys.version}")
print(f"PyTorch version: {torch.__version__}")
print(f"GPU available: {torch.cuda.is_available()}")
print(f"GPU name: {torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'None'}")
# Install additional libraries if needed
!pip install transformers datasets accelerate
Expected result: Python 3.10+, PyTorch 2.x, GPU = True, GPU name = Tesla V100 or A100.
To save datasets, model weights, and checkpoints to Google Drive:
from google.colab import drive
drive.mount('/content/drive')
The system will ask you to grant access. Click the link, select your Google account, and allow access. Afterwards, you can access files in Drive via the path /content/drive/MyDrive/.
Example of saving a model:
import torch
model = ... # your trained model
torch.save(model.state_dict(), '/content/drive/MyDrive/my_model.pth')
You receive 100 compute units each month. To use them efficiently:
Check remaining units:
Go to the Runtime menu > View resources
See the "Compute units" section to know how much has been used
Tips for saving units:
Turn off GPU when not needed: Data preprocessing and file loading do not require a GPU. Only enable the GPU for training/inference.
Disconnect runtime when finished: Menu Runtime > Disconnect and delete runtime to release resources.
Use checkpoints: Save your model every 1-2 hours to avoid losing progress if the runtime disconnects.
Optimize code: Reduce the number of epochs, increase batch size, use mixed precision training (FP16) to reduce training time by 30-40%.
Error "Runtime disconnected":
Cause: Idle for too long (>90 minutes without running code) or ran out of compute units
Solution: Reconnect runtime, load the nearest checkpoint, and continue training
Error "Out of memory":
Cause: Dataset or model is too large for RAM/VRAM
Solution: Reduce batch size, use gradient accumulation, or upgrade to Pro+ if more than 32GB RAM is needed
Error "GPU not available":
Cause: GPU not selected in Runtime settings or system overload
Solution: Check Runtime > Change runtime type > select GPU. If the error persists, try reconnecting or wait 10-15 minutes.
Error "Compute units exceeded":
Cause: All 100 units for the month have been used
Solution: Wait until the beginning of next month for units to reset, or use Colab Free temporarily
# Install libraries
!pip install transformers datasets
# Load pre-trained model
from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments
import torch
model_name = "vinai/phobert-base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=3)
# Load dataset (assuming you have a CSV file in Drive)
import pandas as pd
df = pd.read_csv('/content/drive/MyDrive/sentiment_data.csv')
# Tokenize data
def tokenize_function(examples):
return tokenizer(examples['text'], padding='max_length', truncation=True, max_length=256)
from datasets import Dataset
dataset = Dataset.from_pandas(df)
tokenized_dataset = dataset.map(tokenize_function, batched=True)
# Training arguments
training_args = TrainingArguments(
output_dir='/content/drive/MyDrive/results',
num_train_epochs=3,
per_device_train_batch_size=16,
save_steps=500,
save_total_limit=2,
fp16=True # Mixed precision for speedup
)
# Train
trainer = Trainer(
model=model,
args=training_args,
train_dataset=tokenized_dataset
)
trainer.train()
# Save model
model.save_pretrained('/content/drive/MyDrive/phobert_sentiment')
This example trains PhoBERT (a BERT model for Vietnamese) on a sentiment dataset with 3 epochs, batch size 16, and mixed precision. Estimated time: 2-4 hours with a V100 GPU for a 50,000-sample dataset.
If you encounter any issues during use, contact 24/7 Zalo support. Our tech support team will help you with:
Troubleshooting code and environment errors
Advising on how to optimize compute units
Guiding specific project setups (NLP, Computer Vision, Data Analysis)
Resolving account issues (cannot log in, Pro plan canceled)
Average response time is <30 minutes. Over 10,000+ satisfied customers have trusted us with a 94% satisfaction rate.
