Planning to run a Lavalink server? Understanding the hardware requirements is crucial for smooth audio streaming. This guide covers exactly what you need based on your scale.
To run Lavalink at all, you need:
| Resource | Minimum |
|---|---|
| RAM | 512MB |
| CPU | 1 vCPU |
| Storage | 1GB |
| Java | Version 17+ |
| Network | 100Mbps |
These minimums work for testing or very small deployments (under 10 concurrent streams).
For bots serving a few servers with occasional music usage:
| Resource | Recommended |
|---|---|
| RAM | 512MB - 1GB |
| CPU | 1 vCPU |
| Storage | 2GB |
| Network | 100Mbps |
Monthly Cost Estimate: ₹99-179
For growing bots with regular music activity:
| Resource | Recommended |
|---|---|
| RAM | 1GB - 2GB |
| CPU | 2 vCPU |
| Storage | 5GB |
| Network | 500Mbps |
Monthly Cost Estimate: ₹179-299
For popular bots with heavy music usage:
| Resource | Recommended |
|---|---|
| RAM | 2GB - 4GB |
| CPU | 2-4 vCPU |
| Storage | 10GB |
| Network | 1Gbps |
Monthly Cost Estimate: ₹299-499
For major music bots serving thousands:
| Resource | Recommended |
|---|---|
| RAM | 4GB - 8GB+ |
| CPU | 4+ vCPU |
| Storage | 20GB+ |
| Network | 1Gbps+ |
Monthly Cost Estimate: ₹499-899+
Consider multiple Lavalink nodes with load balancing at this scale.
RAM usage in Lavalink comes from:
Formula:
Required RAM = 200MB + (Active Players × 5MB) + Buffer
Examples:
CPU usage depends on:
Lavalink is generally CPU-efficient. A single modern vCPU handles 50-100 concurrent streams comfortably.
Storage is used for:
2-5GB is sufficient for most deployments.
Network is critical for audio streaming:
Bandwidth per Stream:
For 100 concurrent streams:
A 100Mbps connection handles ~500 streams theoretically, but aim for headroom.
Latency:
Lavalink requires Java 17 or higher. Java version affects performance:
| Java Version | Performance | Recommendation |
|---|---|---|
| Java 17 | Good | Minimum required |
| Java 21 | Better | Recommended |
| GraalVM | Best | For optimization |
For better performance, tune JVM settings:
java -Xms512M -Xmx1G -XX:+UseG1GC -jar Lavalink.jar
Flags explained:
-Xms512M - Initial heap size-Xmx1G - Maximum heap size-XX:+UseG1GC - Use G1 garbage collectorRecommended distros:
Running Lavalink in Docker:
FROM openjdk:17-slim
COPY Lavalink.jar /app/
COPY application.yml /app/
WORKDIR /app
CMD ["java", "-Xmx1G", "-jar", "Lavalink.jar"]
Docker adds minimal overhead (~50MB RAM) but provides isolation benefits.
# Linux
free -h
ps aux | grep java
# Docker
docker stats
top -p \$(pgrep -f Lavalink)
htop
Enable metrics in application.yml:
metrics:
prometheus:
enabled: true
endpoint: /metrics
Add more resources to one server:
Pros: Simple, no code changes Cons: Has limits, single point of failure
Run multiple Lavalink nodes:
Pros: Unlimited scaling, redundancy Cons: More complex, requires load balancing
Do not overpay for unused resources. Start small and scale up.
Providers like VexaNode optimize servers specifically for Lavalink.
Track actual usage and adjust plans accordingly.
Technically yes, but not recommended. Limited RAM and CPU make it impractical for real use.
Approximately 100-150 concurrent players with default settings.
Not strictly required, but SSDs improve startup time and log writing.
Under 100ms is good. Over 150ms may cause audio issues.
Lavalink requirements scale with usage. Start with 512MB-1GB RAM for small deployments and scale up as needed. Focus on RAM and network quality for best performance.
VexaNode offers Lavalink hosting plans sized for every scale, from starter plans at ₹99/month to enterprise solutions for large music bots.
Join thousands of satisfied users and experience the VexaNode difference today.
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