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Best Cloud GPUs for Video Rendering & VFX
GPU-accelerated video rendering and VFX compositing benefit from high VRAM capacity, fast memory bandwidth, and in some cases hardware ray tracing support. Whether you are rendering with Blender, After Effects, DaVinci Resolve, or Unreal Engine, cloud GPUs allow you to offload heavy render jobs without investing in local hardware. This guide compares cloud GPU providers suitable for rendering workloads.
Trustpilot Reviews
143
+0
(7d)
+3
(30d)
HQ
Lithuania Starting Price
$0.16/hr
Max VRAM
80 GB
Max GPUs
2
Billing
Per-hour
Trustpilot Reviews
224
+4
(7d)
+13
(30d)
HQ
United States Starting Price
$0.06/hr
Max VRAM
288 GB
Max GPUs
8
Billing
Per-second
Trustpilot Reviews
1
+1
(7d)
+1
(30d)
HQ
United States Starting Price
$0.35/hr
Max VRAM
141 GB
Max GPUs
8
Billing
Per-minute
Trustpilot Reviews
550
+2
(7d)
+9
(30d)
HQ
United States Starting Price
$0.47/hr
Max VRAM
288 GB
Max GPUs
16
Billing
Per-hour
Cherry Servers vs RunPod - Comparison of Top Firms in This Guide
Cherry Servers vs RunPod - GPU Provider Comparison (May 2026)
Head-to-head comparison of Cherry Servers and RunPod. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed May 2026.
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Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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| Overview | ||
| Trustpilot Rating | 4.6 | 3.5 |
| Headquarters | Lithuania | United States |
| Provider Type | N/A | GPU-Focused |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI |
| GPU Hardware | ||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 |
| Max VRAM (GB) | 80 | 288 |
| Max GPUs/Instance | 2 | 8 |
| Interconnect | PCIe | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.16/hr | $0.06/hr |
| Billing Granularity | Per-hour | Per-second |
| Spot/Preemptible | No | Yes |
| Reserved Discounts | N/A | 15-29% (1-month to 1-year plans) |
| Free Credits | None | $5-$500 bonus after first $10 spend |
| Egress Fees | N/A | None (Free) |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) |
| Infrastructure | ||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | 31 global regions |
| Uptime SLA | 99.97% | 99.99% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | PyTorch TensorFlow JAX ONNX CUDA |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | No | Yes |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Instant |
| Kubernetes Support | Yes | No |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | SOC 2 Type II |
Cherry Servers
RunPod
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