What interconnect technology does Cherry Servers use for multi-GPU training?
💡 Answer
Multi-GPU and distributed training capabilities at Cherry Servers:
- Interconnect: PCIe
- Max GPUs per instance: 2
- Multi-node clusters: No
For training large models like LLMs that require multiple GPUs, the interconnect bandwidth directly impacts training throughput. High-bandwidth interconnects like NVLink and InfiniBand minimize the communication overhead during gradient synchronization, resulting in near-linear scaling across GPUs.
View NVLink and InfiniBand configurations at Cherry Servers official website.
More FAQs about Cherry Servers
- Who should use Cherry Servers for cloud GPU?
- What is the current Trustpilot rating and number of reviews for Cherry Servers?
- Does Cherry Servers come with PyTorch, TensorFlow, or JAX pre-installed?
- Does Cherry Servers support Docker, SSH, and Jupyter Notebooks?
- Can I run GPU workloads on Cherry Servers without managing servers?
- What regions does Cherry Servers operate in?
- Can I get discounted GPU rates at Cherry Servers through spot instances?
- Are there any data transfer costs at Cherry Servers?
- Can I try Cherry Servers for free before committing?
- Which NVIDIA and AMD GPUs are available at Cherry Servers?
- How much does Cherry Servers cost per hour for GPU instances?
Guides Where Cherry Servers Is Featured
- Best Cloud GPU Providers with NVIDIA A40
- Best Cloud GPUs for LLM Serving & Deployment
- Cheapest Cloud GPUs Under $0.50/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Cherry Servers alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Cherry Servers GPU Provider Review & Key Facts (May 2026)
Snapshot of Cherry Servers: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified May 2026.
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Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
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| Overview | |
| Trustpilot Rating | 4.6 |
| Headquarters | Lithuania |
| Provider Type | N/A |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning |
| GPU Hardware | |
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 |
| Max VRAM (GB) | 80 |
| Max GPUs/Instance | 2 |
| Interconnect | PCIe |
| Pricing | |
| Starting Price ($/hr) | $0.16/hr |
| Billing Granularity | Per-hour |
| Spot/Preemptible | No |
| Reserved Discounts | N/A |
| Free Credits | None |
| Egress Fees | N/A |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) |
| Infrastructure | |
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) |
| Uptime SLA | 99.97% |
| Developer Experience | |
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) |
| Docker Support | Yes |
| SSH Access | Yes |
| Jupyter Notebooks | No |
| API / CLI | Yes |
| Setup Time | Minutes |
| Kubernetes Support | Yes |
| Business Terms | |
| Min Commitment | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS |
Cherry Servers