GPU Providers
HQ
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Cloud GPU Providers with Zero Egress Fees
Egress fees — charges for transferring data out of the cloud — can add significant unexpected costs when exporting model weights, serving inference results, or moving datasets between providers. Providers with zero egress fees offer predictable pricing and make it easier to adopt multi-cloud strategies. This guide highlights GPU cloud providers that do not charge for outbound data transfer.
Trustpilot Reviews
2,371
+17
(7d)
+70
(30d)
HQ
United States Starting Price
$0.76/hr
Max VRAM
192 GB
Max GPUs
8
Billing
Per-second
Trustpilot Reviews
3
+0
(7d)
+0
(30d)
HQ
Brazil Starting Price
$0.35/hr
Max VRAM
96 GB
Max GPUs
8
Billing
Per-hour
Trustpilot Reviews
224
+3
(7d)
+11
(30d)
HQ
United States Starting Price
$0.06/hr
Max VRAM
288 GB
Max GPUs
8
Billing
Per-second
Trustpilot Reviews
1
+0
(7d)
+1
(30d)
HQ
United States Starting Price
$0.35/hr
Max VRAM
141 GB
Max GPUs
8
Billing
Per-minute
Trustpilot Reviews
6
+1
(7d)
+1
(30d)
HQ
United States Starting Price
$0.11/hr
Max VRAM
80 GB
Max GPUs
8
Billing
Per-second
DigitalOcean vs Latitude.sh - Comparison of Top Firms in This Guide
DigitalOcean vs Latitude.sh - GPU Provider Comparison (May 2026)
Head-to-head comparison of DigitalOcean and Latitude.sh. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed May 2026.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
|
Latitude.sh
Bare metal GPU cloud across 23 global locations
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|
|---|---|---|
| Overview | ||
| Trustpilot Rating | 4.6 | 3.7 |
| Headquarters | United States | Brazil |
| Provider Type | N/A | Bare Metal |
| Best For | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI |
| GPU Hardware | ||
| GPU Models | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 192 | 96 |
| Max GPUs/Instance | 8 | 8 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.76/hr | $0.35/hr |
| Billing Granularity | Per-second | Per-hour |
| Spot/Preemptible | No | No |
| Reserved Discounts | N/A | N/A |
| Free Credits | $200 free credit for 60 days | $200 via referral program |
| Egress Fees | None (included in plan) | None |
| Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo |
| Infrastructure | ||
| Regions | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo |
| Uptime SLA | 99% | 99.9% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | ML-optimized images PyTorch TensorFlow (user-installed) CUDA |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | Yes | No |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Seconds |
| Kubernetes Support | Yes | No |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 | Single-tenant isolation DPA available |
DigitalOcean
Latitude.sh
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