What developer tools are available at Cherry Servers?
💡 Answer
Here is the developer experience at Cherry Servers:
Setup time: Minutes — this is how quickly you can provision and access a GPU instance after initiating the request.
Available tools:
- Docker containers: 1
- Direct SSH access: 1
- Jupyter notebooks: 0
- Programmatic API/CLI: 1
- Custom Docker images: 1
This combination of tools makes Cherry Servers suitable for both exploratory research (Jupyter) and production MLOps pipelines (API + Docker + SSH).
See the full setup documentation and API reference 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?
- Does Cherry Servers support scale-to-zero GPU deployments?
- What is Cherry Servers uptime SLA guarantee?
- Can I run distributed training across multiple GPUs at Cherry Servers?
- 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 Stable Diffusion & Image Generation
- Cheapest Cloud GPUs Under $1/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 Vultr vs Latitude.sh - GPU Provider Comparison (March 2026)
Side-by-side comparison of Cherry Servers vs Vultr vs Latitude.sh. 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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Vultr
High-performance cloud GPU across 32 global regions
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.6 | 1.8 | 3.7 |
| Headquarters | Lithuania | United States | Brazil |
| Provider Type | N/A | Multi-Cloud | Bare Metal |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI |
| GPU Hardware | |||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 80 | 288 | 96 |
| Max GPUs/Instance | 2 | 16 | 8 |
| Interconnect | PCIe | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.16/hr | $0.47/hr | $0.35/hr |
| Billing Granularity | Per-hour | Per-hour | Per-hour |
| Spot/Preemptible | 0 | 1 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | None | Up to $300 free credit for 30 days | $200 via referral program |
| Egress Fees | N/A | Standard (varies by plan) | None |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo |
| Infrastructure | |||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo |
| Uptime SLA | 99.97% | 100% | 99.9% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | ML-optimized images PyTorch TensorFlow (user-installed) CUDA |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 0 | 1 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Minutes | Minutes | Seconds |
| Kubernetes Support | 1 | 1 | 0 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | Single-tenant isolation DPA available |