Can I run distributed training across multiple GPUs at Cherry Servers?
💡 Answer
Here is how Cherry Servers handles multi-GPU workloads:
GPU interconnect: PCIe
Maximum GPUs: 2 per instance
Multi-node support: 0
When scaling beyond a single GPU, the interconnect technology determines how efficiently GPUs communicate during distributed training operations like all-reduce and gradient synchronization. Cherry Servers offers PCIe connectivity, which is an important factor when comparing multi-GPU providers for large-scale AI workloads.
Check available multi-node cluster configurations on Cherry Servers official website.
More FAQs about Cherry Servers
- What type of workloads is Cherry Servers ideal for?
- What is Cherry Servers Trustpilot rating and total review count?
- Can I use custom ML frameworks on Cherry Servers?
- What developer tools are available at Cherry Servers?
- Does Cherry Servers support scale-to-zero GPU deployments?
- What is Cherry Servers uptime SLA guarantee?
- Are spot instances available at Cherry Servers for cost savings?
- How much does Cherry Servers charge for outbound data transfer?
- How can I get free GPU credits at Cherry Servers?
- What is the maximum VRAM available on Cherry Servers GPU instances?
- What are the pricing plans and billing options at Cherry Servers?
Guides Where Cherry Servers Is Featured
- Best Cloud GPU Providers with NVIDIA A40
- Best Cloud GPUs for LLM Serving & Deployment
- Cheapest Cloud GPUs Under $0.50/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Cherry Servers alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Cherry Servers vs Vast.ai vs DigitalOcean - GPU Provider Comparison (March 2026)
Side-by-side comparison of Cherry Servers vs Vast.ai vs DigitalOcean. Quickly scan maximum funding, profit splits, risk rules, leverage, platforms, instruments, payout schedules, payment options, trading permissions and KYC restrictions to narrow down your prop trading firm shortlist. Data updated March 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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Vast.ai
Instant GPUs. Transparent Pricing.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.6 | 4.4 | 4.6 |
| Headquarters | Lithuania | United States | United States |
| Provider Type | N/A | GPU Marketplace | N/A |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research |
| GPU Hardware | |||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Max VRAM (GB) | 80 | 192 | 192 |
| Max GPUs/Instance | 2 | 8 | 8 |
| Interconnect | PCIe | NVLink, InfiniBand | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.16/hr | $0.06/hr | $0.76/hr |
| Billing Granularity | Per-hour | Per-second | Per-second |
| Spot/Preemptible | 0 | 1 | 0 |
| Reserved Discounts | N/A | Up to 50% (1-6 month reserved) | N/A |
| Free Credits | None | Small test credit on signup | $200 free credit for 60 days |
| Egress Fees | N/A | Varies by host ($/TB) | None (included in plan) |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | Varies by host ($/GB/hr, charged while instance exists) | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo |
| Infrastructure | |||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | 500+ locations, 40+ data centers | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| Uptime SLA | 99.97% | No formal SLA (host reliability scores visible) | 99% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | PyTorch TensorFlow CUDA vLLM ComfyUI | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 0 | 1 | 1 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Minutes | Seconds | Minutes |
| Kubernetes Support | 1 | 0 | 1 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | SOC 2 Type 2 HIPAA GDPR CCPA | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 |