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Complete Guide

云 GPU 租赁

云 GPU 租赁完整指南。开始云 GPU 计算所需了解的一切。

Pay Per Use
No upfront costs
Instant Access
Ready in minutes
Full Control
Root access, any software
Flexible
Scale up or down anytime
What's Included in Cloud GPU Rental
Understanding what you get when you rent a cloud GPU
ComponentDescriptionIncluded
GPU(s)The graphics processing unit for computeAlways
CPU CoresProcessor cores for general computingAlways
System RAMMain memory for data processingAlways
Temp StorageSSD storage that clears on stopAlways
NetworkInternet connectivityAlways (limits vary)
Persistent StorageStorage that survives restartsOften extra cost
Static IPFixed public IP addressUsually extra cost
GPU InterconnectNVLink for multi-GPUHigh-end configs only
How Cloud GPU Billing Works
Understanding the cost structure
AspectCommon PracticeNotes
Billing GranularityPer minute or per hourPer-minute is more economical for short tasks
Minimum Charge1 minute to 1 hourSome providers charge minimum even for shorter use
Idle BillingYes - running instances bill even if idleAlways stop instances when not in use!
Storage BillingPer GB per monthPersistent storage bills separately from compute
Network EgressFree to $0.12/GBData leaving the cloud often costs extra
Prepaid CreditsAvailable from most providersOften get bonus credits with prepayment
Getting Started with Cloud GPU Rental
Step-by-step guide to your first instance
1
Create Account
Sign up with email verification
2
Add Payment
Credit card or prepaid credits
3
Choose GPU
Select GPU type, vRAM, region
4
Configure Instance
Set CPU, RAM, storage
5
Select Image
Choose OS or pre-built ML image
6
Add SSH Key
For secure terminal access
7
Launch
Instance provisions in minutes
8
Connect
SSH or web interface access
Common Mistakes to Avoid
Save money by avoiding these pitfalls
Leaving instances running when not using
Cost: Can cost $50-500+/month wasted
Solution: Set up alerts, stop when done, use auto-shutdown
Not saving checkpoints
Cost: Lost work if instance terminates
Solution: Save frequently to persistent storage or cloud
Overprovisioning resources
Cost: Paying for unused CPU/RAM
Solution: Start small, scale up if needed
Ignoring spot/preemptible options
Cost: Paying 2-3x more than necessary
Solution: Use spot for interruptible workloads
常见问题

开始您的云 GPU 之旅

无需前期投资即可获得强大 GPU。