Oracle Cloud (GPU) vs TensorDock
A detailed comparison to help you choose between Oracle Cloud (GPU) and TensorDock.
Quick Verdict
3.8/5
Oracle Cloud (GPU)
0 reviews
3.8/5
TensorDock
0 reviews
Both Oracle Cloud (GPU) and TensorDock are equally rated at 3.8/5. 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). TensorDock is a GPU compute marketplace with per-second billing — H100 SXM5 from $2.80/hour and A100 from $1.50/hour (A100 PCIe 80GB) on its published rate card. 100+ locations in 20+ countries, on-demand provisioning.
Oracle Cloud (GPU) Free A1 Arm instances with optional GPU | TensorDock Affordable GPU cloud compute without long-term contracts | |
|---|---|---|
| Overview | ||
| Rating | 3.8 (0 reviews) | 3.8 (0 reviews) |
| Pricing model | freemium | usage-based |
| Starting price | Free tier available✓ | From $0.1/mo |
| Best for | 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 | Cost-conscious ML engineers, researchers and studios running training with checkpointing, batch inference or rendering, especially where consumer GPUs like the RTX 4090 fit the workload |
| Specifications (entry plan) | ||
| CPU cores | — | 2 vCPU |
| RAM | — | 4 GB |
| Storage | — | 20 GB |
| Bandwidth | — | — |
| SLA uptime | 99.9% | 99.99%✓ |
| Data-center count | 50 | 100✓ |
| €/vCPU/mo | — | €0.05 |
| €/GB RAM/mo | — | €0.03 |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | 50+ regions across 28 countries (NA, SA, EU, MEA, APAC) | 100+ marketplace locations in over 20 countries (US, EU, Asia-Pacific); tier 3/4 data centers plus community hosts |
| Tags | ||
| Tags | free tiergpu availableeu datacenterus datacenterapac datacenterapi accessarm processors | hourly billinggpu availableeu datacenterus datacenter |
| Visit Oracle Cloud (GPU) → | Visit TensorDock → | |
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
TensorDock
Pros
- + Among the lowest published GPU rates anywhere: RTX 4090 at $0.35/hr, H100 SXM5 at $2.85/hr typical
- + A la carte, per-second billing for vCPU, RAM and NVMe — pay only for the configuration you need
- + Breadth: 45 GPU models across 100+ locations in 20+ countries, with an API for automation
- + Published rate card and transparent explanation of why the same GPU has multiple prices
- + Host vetting, host SSH access revoked, and a 99.99% uptime standard for listed hosts
Cons
- - Marketplace variance: host redundancy and quality differ, with cheaper listings often least redundant
- - Email-only support with multi-hour response windows; no contractual SLA with credits
- - Prepaid balance model deletes servers when the balance reaches zero
- - Published rate card is stamped July 2024 and carries a no-guarantee disclaimer
- - Fewer managed niceties (templates, serverless) than RunPod, Lambda or hyperscalers
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