Vast.ai vs Oracle Cloud (GPU)
A detailed comparison to help you choose between Vast.ai and Oracle Cloud (GPU).
Quick Verdict
3.7/5
Vast.ai
0 reviews
3.8/5
Oracle Cloud (GPU)
0 reviews
Oracle Cloud (GPU) is rated higher (3.8 vs 3.7). P2P GPU marketplace connecting researchers and developers with spare compute capacity. Offers rented GPUs at lower rates than centralized cloud providers, ideal for ML training, rendering, and batch processing. Oracle Cloud Infrastructure includes an always-free A1 Arm allocation (2 OCPUs + 12 GB RAM since July 2026, halved from 4 OCPUs + 24 GB) and GPU shapes from ~$2/GPU-hour (A10 VM) to $10/GPU-hour (H100/H200) and $14-15 (B200/B300).
Vast.ai Rent GPUs from individuals for 2-10x cheaper compute | Oracle Cloud (GPU) Free A1 Arm instances with optional GPU | |
|---|---|---|
| Overview | ||
| Rating | 3.7 (0 reviews) | 3.8 (0 reviews)✓ |
| Pricing model | usage-based | freemium |
| Starting price | From $0.03/mo | Free tier available✓ |
| Best for | ML researchers, rendering studios, and budget-conscious teams running checkpointable training, fine-tune, and batch workloads who are willing to vet hosts themselves | Enterprise and serious training/inference workloads that want bare-metal NVIDIA or AMD GPU clusters at hyperscaler-reliable terms, especially MI300X and A100 value seekers and existing Oracle/database customers |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | Global — distributed hosts | 50+ regions across 28 countries (NA, SA, EU, MEA, APAC) |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenterus datacenterapac datacenter | free tiergpu availableeu datacenterus datacenterapac datacenterapi accessarm processors |
| Visit Vast.ai → | Visit Oracle Cloud (GPU) → | |
Vast.ai
Pros
- + Cheapest public GPU-hour rates anywhere; per-second billing with no minimum charge
- + Always-on capacity across 81 GPU types and hosts in 52 countries — no 'capacity coming soon'
- + Interruptible bidding and reserved discounts give real pricing levers per workload
- + Dense, useful search filters: reliability score, DLPerf, network speed, host tier
- + SOC 2 Type II and HIPAA attestations at the platform level, per third-party comparisons
Cons
- - No SLA, no owned datacenters, and no recourse when an independent host disappears
- - Host variance is real: measured ±11.7% throughput spread on identical H100 SXM specs
- - Storage bills continue on stopped instances; bandwidth is host-set and can be expensive
- - Interruptible preemption risk demands checkpointing discipline
- - Verification and reliability-score formulas are only partially disclosed
Oracle Cloud (GPU)
Pros
- + Broadest accelerator lineup of any hyperscaler: NVIDIA Blackwell/Hopper/Ampere plus AMD MI300X/MI355X, VMs and bare metal
- + Below-AWS/Azure on-demand GPU list pricing (H100 $10/GPU-hr, A100 80GB $4, MI300X $6) with published, checkable rates
- + Supercluster-class networking (up to 3,200 Gb/sec RDMA) and large local NVMe per node for training checkpoints
- + Credit-backed compute SLA and a full cloud stack (storage, K8s, databases, S3-compatible object) in 50+ regions
Cons
- - GPU quota and capacity processes can require sales engagement; 8-GPU node minimums on the best shapes
- - OCI console/IAM complexity and thinner community documentation than AWS/GCP
- - The 'up to 220% cheaper' claim is a dated vendor comparison; neoclouds undercut on some shapes
- - Egress, storage, image licensing and commitment terms add to headline GPU rates; free tier is CPU-only
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