What is the maximum VRAM available on Cherry Servers GPU instances?
💡 Answer
The GPU fleet at Cherry Servers includes both data center and workstation-class accelerators:
A100, A40, A16, A10, A2, Tesla P4
Maximum VRAM per GPU: 80 GB
Maximum GPUs per instance: 2
Interconnect: PCIe
This hardware selection covers use cases from cost-effective inference on consumer GPUs to large-scale distributed training on enterprise accelerators.
For detailed GPU specs, VRAM configurations, and multi-GPU options, check 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?
- 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 are the pricing plans and billing options at Cherry Servers?
Guides Where Cherry Servers Is Featured
- Best Cloud GPU Providers with NVIDIA H100
- Best Cloud GPUs for Generative AI
- 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
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- 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 Latitude.sh vs Massed Compute - GPU Provider Comparison (April 2026)
Side-by-side comparison of Cherry Servers vs Latitude.sh vs Massed Compute. 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 April 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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Latitude.sh
Bare metal GPU cloud across 23 global locations
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Massed Compute
GPU cloud with direct engineer support
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.6 | 3.7 | 0 |
| Headquarters | Lithuania | Brazil | United States |
| Provider Type | N/A | Bare Metal | GPU-Focused |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion research |
| GPU Hardware | |||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL |
| Max VRAM (GB) | 80 | 96 | 141 |
| Max GPUs/Instance | 2 | 8 | 8 |
| Interconnect | PCIe | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.16/hr | $0.35/hr | $0.35/hr |
| Billing Granularity | Per-hour | Per-hour | Per-minute |
| Spot/Preemptible | 0 | 0 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | None | $200 via referral program | None |
| Egress Fees | N/A | None | None |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | Local NVMe included with instances |
| Infrastructure | |||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | United States (Tier III data centers) |
| Uptime SLA | 99.97% | 99.9% | Tier III (99.98% design) |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured ML templates |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 0 | 0 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Minutes | Seconds | Minutes |
| Kubernetes Support | 1 | 0 | 0 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | Single-tenant isolation DPA available | SOC 2 Type II HIPAA |