GPU Server
Ultra-fast AI training, high-performance rendering, and enterprise-grade infrastructure tailored for modern AI workloads.
Tailored GPU Server Solutions
Built for AI training and high-performance computing with current RTX GPU options. Confirm model compatibility and any optional deployment service before ordering. Click column headers to sort by specs and price.
| GPU Plan | Datacenter | Action | |||||||
|---|---|---|---|---|---|---|---|---|---|
| RTX 3050 | Detroit | Dual Intel Xeon Scalable Gold 6230 | 128GB RAM | 960GB NVME | 10Gbps shared bandwidth | — | 1 IPv4 | $279/mo | Order Now |
| RTX 5090 | Utah | AMD Ryzen 9950X | 96GB DDR5 RAM | 3.84TB NVMe SSD | 10Gbps bandwidth | 50TB traffic | 5 IPv4 | $699/mo | Order Now |
| NVIDIA DGX Spark | Utah | NVIDIA Spark Blackwell DGX | 128GB unified memory | 4TB Gen4 NVMe | 10Gbps bandwidth | — | 5 IPv4 | $569/mo | Order Now |
| 2x NVIDIA DGX Spark | Utah | Dual NVIDIA DGX Spark | 4TB Gen4 NVMe RAM | Dual 200Gbps direct connect | 5 IPv4 | — | 5 IPv4 | $1361/mo | Order Now |
| EPYC 7443P + 2x A100 80GB | Utah | AMD EPYC 7443P 24 Cores | 512GB RAM | 2x3.84TB Gen4 NVMe | 10Gbps bandwidth | — | 5 IPv4 | $1857/mo | Order Now |
| 4x RTX PRO 6000 Flagship | Utah | Dual AMD EPYC 9575F 128 Cores | 1536GB RAM | 2x15TB Gen5 NVMe | 10Gbps bandwidth | — | 5 IPv4 | $9906/mo | Order Now |
| RTX 4090 | New Jersey | AMD Ryzen 9950X | 96GB DDR5 RAM | 2x 4TB NVMe SSD | 1Gbps bandwidth | Unmetered Traffic | 1 Dedicated IP | $499/mo | Order Now |
| RTX A5000 | Utah | AMD Ryzen 9950X | 96GB DDR5 RAM | 2x 3.84TB NVMe SSD | 1Gbps bandwidth | 50TB traffic | 1 IPv4 | $650/mo | Order Now |
Multi-GPU cluster solutions for large-scale AI training and inference with enterprise-grade networking and hardware options. Availability, compatibility, and pricing for optional AI environment setup are confirmed on the order page or by ticket; multi-card plans start at $1299/mo. Click column headers to sort by specs and price.
| GPU Plan | Datacenter | Action | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 2x RTX 4090 | Utah | AMD EPYC 7443P | 256GB DDR5 RAM | 2x 3.84TB NVMe | 10Gbps BGP network | 50TB traffic | 1 Dedicated IP | $1299/mo | Order Now |
| 6x RTX 4090 | Houston | 2x Xeon P8358 | 250GB RAM | 2x 900GB SSD | 1Gbps bandwidth | Unmetered Traffic | 1 Dedicated IP | $1699/mo | Order Now |
| 8x RTX 4090 | Dallas | 2x Xeon P8136 or EPYC 7702/7763 | 512GB RAM | 2x 7.68TB + 2x 960GB SSD | 1000Mbps BGP network | Unmetered Traffic | 1 Dedicated IP | $3699/mo | Order Now |
| 8x H100 SXM5 | Dallas | 2x Intel Xeon 8462Y+ | 1TB DDR5 ECC RAM | 19.2TB NVMe | 10Gbps shared bandwidth | Unmetered traffic | 1 Dedicated IP | $14,880/mo | Order Now |
| 8x H200 SXM5 | US | 2x Intel 8480+ | 2048GB RAM | 3.84TB x4 NVMe | 10Gbps shared bandwidth | Unmetered Traffic | 1 Dedicated IP | $20,832/mo | Order Now |
Low-latency networking with enterprise-grade H100 GPUs across multiple APAC locations. Click column headers to sort by specs and price.
| GPU Plan | Datacenter | Action | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 8x RTX 4090 | Asia | 2x AMD EPYC 7K62 | 64GB x12 DDR4 RAM | 2x 480GB SSD (system) | 1x 7.68TB NVMe (data) | — | 1 Dedicated IP | $1,240/mo | Order Now |
| 8x RTX 4090 | Asia | 2x Intel Xeon Gold 6530 | 64GB x16 DDR5 RAM | 2x 480GB SSD (system) | 1x 7.68TB NVMe (data) | — | 1 Dedicated IP | $1,240/mo | Order Now |
| 8x RTX 5090 | Asia | 2x Intel Xeon Gold 6530 | 64GB x16 DDR5 RAM | 1x 960GB SSD (system) | 2x 3.84TB NVMe (data) | — | 1 Dedicated IP | $1,550/mo | Order Now |
| 8x RTX 4090 | Asia | 2x Intel Xeon Gold 6530 | 512GB DDR5 RAM | 2x 960GB SSD (system) | 1x 7.68TB NVMe (data) | — | 1 Dedicated IP | Contact for pricing | Order Now |
| 8x RTX 5090 | Asia | 2x Intel Xeon 8473C | 1TB DDR5 RAM | 2x 960GB SSD (system) | 1x 7.68TB U.2 (data) | — | 1 Dedicated IP | Contact for pricing | Order Now |
| 8x RTX 5090 Turbo | Asia | 2x Intel Xeon Gold 6530 (32C, 270W, 2.1GHz) | 16x 64GB DDR5 5600MHz RDIMM RAM | 960GB SATA SSD (system) | 3.84TB data disk | — | — | Contact for pricing | Order Now |
| 8x H100 | Tokyo | 2x Intel 8460Y | 2TB DDR5 RAM | 19.2TB NVMe | 1Gbps BGP network | Unmetered Traffic | 1 Dedicated IP | $9,299/mo | Order Now |
| 8x H200 SXM | Asia | 2x Xeon 8460Y+ | 2TB DDR5 ECC RAM | 439GB + 14TB NVMe | 8x 400Gbps RoCE | — | 1 Dedicated IP | Contact for pricing | Order Now |
GPU servers deliver massive parallel compute for AI training, data mining, and high-performance workloads with faster results than CPU-only servers.
GPU parallel computing is well suited to model training, inference, rendering, and scientific workloads.
Professional GPU memory bandwidth exceeds 3TB/s, keeping large models and datasets flowing smoothly.
Drivers, CUDA toolkits, and common AI frameworks can be configured for the selected image and workload.
The page includes single-GPU and multi-GPU plans; confirm custom interconnect or multi-node requirements by ticket.
Rent the selected configuration without purchasing and maintaining the underlying hardware.
Use the 24/7 ticket system for hardware, network, and base-environment questions.
Compare performance specifications to select the ideal GPU configuration for your AI projects.
| Category | CPU Server | RTX 4090 | H100 SXM5 | H200 SXM5 |
|---|---|---|---|---|
| Memory Capacity | System memory | 24GB GDDR6X | 80GB HBM3 | 141GB HBM3e |
| AI Performance | Baseline performance | 82.6 TFLOPS FP32, 1,321 TOPS INT8 | 67 TFLOPS FP32, 3,958 TOPS INT8 | 71 TFLOPS FP32, 4,122 TOPS INT8 |
| Memory Bandwidth | System memory | 1,008 GB/s | 3,350 GB/s | 4,800 GB/s |
| AI Models | Basic ML, data processing | Image generation and small-to-medium open-weight models | Larger open-weight model training and inference | Large-memory and multi-GPU training or inference |
| Selection Guide | CPU baseline workloads | Single-GPU development and image generation | High-throughput training and inference | Large-memory and multi-GPU workloads |
| Use Cases | Web services, databases | AI development, image generation | Enterprise AI, large model inference | Ultra-large training, production AI |
Answers to common questions about GPU server specs, performance, and billing.
GPU servers are designed for parallel workloads such as deep learning training, inference, rendering, and scientific computing. Actual performance depends on the model, precision, framework, batch size, and parallel strategy.
RTX 4090 is ideal for prototyping and mid-size models. H100 targets enterprise training at scale, while H200 is designed for next-gen research with 141GB HBM3e memory.
Available operating-system images, drivers, and CUDA versions depend on the selected plan and order page. Frameworks such as PyTorch, TensorFlow, JAX, and Docker can be deployed according to project compatibility.
Delivery varies with stock, payment verification, and selected customizations. Confirm timing on the order page or by ticket; the 24/7 ticket system is available for hardware, network, and base-environment questions.
The page lists multi-GPU plans. GPU count, interconnect, and multi-node deployment capability vary by configuration, so confirm distributed-training requirements before ordering.
Available billing cycles, discounts, and payment methods are shown at checkout. Contact sales before ordering a custom configuration or billing term.
These examples explain which workloads fit each GPU class. Actual performance depends on the model, precision, framework, and parallel strategy.
1 to 8 GPUs
Listed GPU Scale
Multiple
Deployment Regions
24/7
Ticket Support
An 8x H100 configuration is suited to large-model workloads that need higher throughput, larger batches, and parallel training. Scaling efficiency depends on the framework and communication pattern.
Large-Model Training
8x H100 Configuration Example
RTX 4090 is suited to image generation, computer-vision development, and prototype validation. Model capacity and batch size depend on memory use and precision.
Visual AI Workload
RTX 4090 Configuration Example
H200 is suited to memory-sensitive inference, training, and scientific workloads. Multi-GPU deployments should be evaluated against the model and parallel strategy.
Large-Memory Inference
H200 Configuration Example
The HostEase expert support team is ready to help with GPU setup, performance optimization, and troubleshooting. Access tutorials, knowledgebase resources, or talk to our engineers.
Contact us: +1 (818) 301-5026. International calling charges may apply.
