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Compare GPU Server Plans

Size GPU capacity for LLM inference, fine-tuning and ComfyUI. Compare 24GB to 80GB VRAM, software environments and available hourly or monthly offers.

Hong Kong · USA

Size GPU capacity for LLM inference, fine-tuning and ComfyUI. Compare 24GB to 80GB VRAM, software environments and available hourly or monthly offers.

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GPU Server Products

2 regional nodes with NVIDIA professional graphics cards to meet AI and graphics computing needs

Available plans

Hong Kong · GPU servers

GPU-E5-2690-GT750 (4G)

Memory
32 GB
Storage
1 × 1,000 GB SSD
Bandwidth
10 Mbps
Location and network
Hong Kong / CN2 / Optimized BGP / International GIA

USD 264.00 /mo

Plans and billing options
Hardware configurationMemoryStorageBandwidthLocation and networkBilling terms
GPU-E5-2690-GT750 (4G)32 GB1 × 1,000 GB SSD10 MbpsHong Kong / CN2 / Optimized BGP / International GIAMonthly: USD 264.00 Quarterly: USD 792.00 Annually: USD 3168.00
GPU-E5-2680-GT1050TI (4G)32 GB1 × 1,000 GB SSD10 MbpsHong Kong / CN2 / Optimized BGP / International GIAMonthly: USD 286.00 Quarterly: USD 858.00 Annually: USD 3432.00
GPU-E5-2695V2-GT1050TI (4G)64 GB1 × 1,000 GB SSD10 MbpsHong Kong / CN2 / Optimized BGP / International GIAMonthly: USD 330.00 Quarterly: USD 990.00 Annually: USD 3960.00
HKGPU-E5-2698V3-RTX 3080 (10G)64 GB1 × 1,000 GB SSD20 MbpsHong Kong / CN2 / Optimized BGP / International GIAMonthly: USD 748.00 Quarterly: USD 2244.00 Annually: USD 8976.00

Prices are for the configurations shown. Confirm your configuration, total price and availability before placing an order.

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United States · GPU servers

USAGPU-E5-2620-GT750(4G)

Memory
32 GB
Storage
1 × 1,000 GB SSD
Bandwidth
30 Mbps
Location and network
United States / CN2 / Optimized BGP

USD 264.00 /mo

Plans and billing options
Hardware configurationMemoryStorageBandwidthLocation and networkBilling terms
USAGPU-E5-2620-GT750(4G)32 GB1 × 1,000 GB SSD30 MbpsUnited States / CN2 / Optimized BGPMonthly: USD 264.00 Quarterly: USD 792.00 Annually: USD 3168.00
USAGPU-E5-2690-GT750 (4G)32 GB1 × 1,000 GB SSD30 MbpsUnited States / CN2 / Optimized BGPMonthly: USD 264.00 Quarterly: USD 792.00 Annually: USD 3168.00
USAGPU-E5-2620*2-GT1050(4G)32 GB1 × 1,000 GB SSD30 MbpsUnited States / CN2 / Optimized BGPMonthly: USD 286.00 Quarterly: USD 858.00 Annually: USD 3432.00
USAGPU-E5-2680-GT1050TI (4G)32 GB1 × 1,000 GB SSD30 MbpsUnited States / CN2 / Optimized BGPMonthly: USD 286.00 Quarterly: USD 858.00 Annually: USD 3432.00

Prices are for the configurations shown. Confirm your configuration, total price and availability before placing an order.

View plans
DEPLOYMENT CHECKLIST

Ready for your first production workload

A practical handover checklist, from sizing the instance to moving live traffic.

  1. Budget VRAM and topology

    Start with model size, precision, context and batch size. For multi-GPU jobs, verify device count, allocation and the actual interconnect.

  2. Validate the software stack

    Check driver, CUDA and framework compatibility. Run a small inference or rendering job before importing the full dataset.

  3. Measure useful throughput

    Record time to first token, tokens per second, peak VRAM or batch render time on representative inputs. Include retries in job estimates.

  4. Plan persistence and billing

    Confirm charges when stopped, released or retaining disks. Export models, workflow files and outputs before terminating the instance.

GPU workload and VRAM matcher

Start with your model and workload, then validate memory usage, concurrency and the delivered software environment.

Workload

Llama 3 8B inference / SDXL / ComfyUI

GPU sizing starting point
RTX 4090 24GB
What to validate
Precision, context length, batch size and peak VRAM.

Hardware and allocation

Hardware reference: RTX 4090 24GB GDDR6X; RTX 3090 24GB; A10 24GB; A30 24GB; A100 40GB/80GB HBM2e; H100 80GB HBM3. Available models, allocation and topology depend on the selected configuration.

Software and delivery

Specify Ubuntu 22.04/24.04, NVIDIA driver, CUDA, cuDNN, PyTorch and TensorFlow versions when ordering. Verify the delivered image with nvidia-smi and a minimal inference run. The report’s RTX 4090 cost reference is $1.20/hour; confirm the actual hourly offer before estimating a job.

FROM ORDER TO LAUNCH

Plan your purchase and acceptance checks

  1. Before ordering

    Confirm resources, renewal costs, payment options and delivery timing. Request a product-specific test IP and check routes from your users’ networks.

  2. After provisioning

    Match CPU, RAM, storage, IPs and OS to your order. Verify login, remote management access and connectivity.

  3. Before going live

    Run a representative workload and test backup recovery. Save your results and open a support ticket if the delivered configuration differs.

Why Choose POWOKE GPU Server

Professional GPU computing platform with enterprise-grade performance to accelerate your AI and graphics projects

Choose a region for your users

Measure access from customer networks and account for the locations of databases, backups and application dependencies.

GPU Servers

Size AI inference, training and rendering around GPU memory, software compatibility and job duration. Compare available hardware and billing options.

Check the software environment

Verify image versions, licensing and administration access against the application you intend to run.

Budget beyond the base price

Include renewal terms, data transfer, additional IPs, software licenses and backup requirements in the total cost.

Plan changes before deployment

Confirm maintenance windows, restart requirements and recovery steps before scaling or migrating production workloads.

Provide useful support context

Include the service ID, timestamps, logs and network test results to help distinguish infrastructure from application issues.

Frequently Asked Questions

Which GPU specifications matter for my project?

Start with model or scene memory, precision and concurrency. Then check GPU architecture, CPU capacity, system RAM and data-loading performance.

Is hourly billing available?

Use the billing options shown for the selected configuration. Confirm minimum charges, what happens when a job stops and the cost of long-running tasks.

What is included in the quoted price?

Check the billing term, transfer allowance, IP allocation, software licensing and renewal conditions. Available payment methods are shown at checkout.

Can I upgrade without downtime?

Upgrade procedures depend on the product and resource. Confirm whether a change requires a restart, migration or disk reconfiguration, and keep a tested backup before making changes.

How should I choose a location?

Test from the networks your customers use, including peak periods. Consider latency, packet loss, return paths and the locations of databases, backups and external services.

Which operating systems can I install?

Available images vary by node and plan. Check the version, licensing, access method and application compatibility in the configuration flow before ordering.

KNOWLEDGE / RESOURCES

Deployment and buying guides

Practical guidance on server selection, deployment and everyday operations.

Review configuration, payment and service terms

Available payment methods

Credit / debit cardUSDTGoogle PayAlipayCorporate transfer

Available gateways, settlement currency and fees depend on the final checkout. Review the billing term and total before paying.

Refunds and SLA

Refund windows, transfer limits, refund destination and eligibility for 99.9% availability compensation depend on your order's service terms. Confirm whether a first-order 24-hour refund applies before purchase; custom hardware and GPU plans may have different rules.

Confirm service terms