Are you looking for the best deal on GPU servers for your projects? With so many cloud providers offering GPU services, choosing the right one can be overwhelming. Let’s break down the top GPU server price suppliers to help you make an informed decision.
NVIDIA GPU Servers
Product Details: Silicon Mechanics offers GPU-accelerated servers with various form factors, GPU densities, and storage capacities. Models include Rackform R356.v9, R357a.v9, R358.v9, and others, supporting Intel Xeon and AMD EPYC processors.
Pros: – Highly customizable via online system configurator – Supports PCIe Gen5 and HBM3 memory for high perfor… – Optimized for AI and HPC workflows with NVIDIA H10… – Redundant power and dual 10-Gigabit Ethernet – High memory bandwidth and bi-directional throughpu…
Cons: – Prices do not include shipping, handling, or taxes – Prices and configurations subject to change withou… – Potential for additional costs due to configuratio… – System pictures may not reflect actual configurati…
GPX GPU-Optimized Servers
Product Details: The GPX QS4-12E2-4GPU and GPX QH12-24E4-10GPU models support up to 4 and 10 full-width GPUs respectively, with AMD EPYC 9004 series processors and extensive DRAM and storage options.
Pros: – High-performance capabilities for HPC and AI workl… – Support for multiple NVIDIA GPUs – High-speed NVMe storage and additional drive optio… – 24/7 technical support and 3-year warranty – Custom configuration options – Discounts available for academic institutions and…
Cons: – High cost, especially for models with extensive GP… – Complex setup may require technical expertise – Power consumption could be high due to multiple GP…
How much does a GPU server cost?
Product Details: A GPU server can cost from $1000 to much higher, depending on hardware, density, and use cases. Considerations include raw hardware cost, data center density, power usage, and software costs.
Pros: – High performance for tasks like AI, machine learni… – Customizable to fit specific use cases – Access to latest technology and NVIDIA-certified s… – Cost-effective options available – Global logistics and support
Cons: – Building out a GPU server can be daunting and expe… – High power usage can increase monthly bills – Software costs can be additional and expensive – Density and rackspace in data centers can add prem…
Supermicro GPU SuperServer
Product Details: Supermicro GPU SuperServer systems are designed for AI, Machine Learning, and High-Performance Computing. They feature multiple GPU support, high-density storage, and advanced cooling systems.
Pros: – Optimized for AI, Machine Learning, and HPC applic… – Supports multiple high-performance GPUs – High-density storage options – Advanced cooling systems for efficient operation – Free 3–5 day delivery
Cons: – High power consumption – Expensive compared to non-GPU servers – Complex setup and configuration required – Limited availability of certain models
GPU Dedicated Servers with Affordable Pricing
Product Details: Operating systems include free CentOS, Ubuntu, Debian, and Windows Server options. Additional services like shared hardware firewall, dedicated hardware firewall, and remote data center backup are available.
Pros: – Transparent pricing with no hidden fees or setup c… – Flexible billing options allowing users to pay onl… – 24/7/365 free technical support via live chat and… – High-performance GPU resources for AI, deep learni… – Free trial available for testing server capabiliti… – Multiple data center locations in the USA with 99….
Cons: – Bandwidth usage can be influenced by shared resour… – Security verification process for free trials can… – Additional resources and services incur extra mont… – Limited upgrade options for certain plans.
Supermicro GPU Servers for AI & Machine Learning
Product Details: Supermicro GPU servers are built with the latest hardware and software, including NVIDIA GPUs, powerful CPUs, and fast storage options. They are optimized for AI, machine learning, data analytics, and scientific computing.
Pros: – Unparalleled performance and reliability for compl… – Support for up to 10 NVIDIA GPUs and multiple stor… – High-speed processing and low latency for large da… – Flexibility and power for various AI use cases – Custom system design available to meet specific ne…
Cons: – Prices subject to change without notice and do not… – Potential for additional costs due to reconfigurat…
GPU Servers ( 15 )
Product Details: ASUS offers various GPU servers for AI, HPC, and HCI. Models include 2U and 4U servers with Intel Xeon or AMD EPYC processors, supporting up to 8 GPUs, multiple PCIe slots, and high-capacity storage.
Pros: – High-performance capabilities with up to 8 NVIDIA… – Support for latest Intel Xeon Scalable and AMD EPY… – Multiple PCIe 5.0 slots and high-capacity storage… – Liquid cooling solutions and high-efficiency power… – Advanced management with ASUS ASMB11-iKVM and OCP…
Cons: – High power consumption with up to four 3000W Titan… – Complex setup and maintenance due to advanced feat… – High cost associated with high-performance compone… – Space requirements for 4U and 7U form factors – Cooling challenges in dense data center environmen…
[D] GPU Server Alternatives: How to Avoid High Costs for …
Product Details: Modal: A serverless GPU provider for running GPU workloads. It offers batching features and supports high-performance GPUs like A100 and H100.
Pros: – Allows for usage-based pricing, reducing costs for… – Supports batching requests, improving throughput f… – Customizable infrastructure that only runs when re… – Cost-effective with options like reserve instance…
Cons: – May have long startup times for large models. – Batching feature is still in beta, with potential… – Requires infrastructure setup or use of hosted sol…
Price | GPU Server Rental
Product Details: XESKTOP offers two GPU server rental plans. Server-4%: $6/hour, 10x GTX 1080Ti, 2x Intel Xeon E5 v4 8-core, 256 GB RAM, Windows 10. Server-8%: $8/hour, 8x Tesla V100, 2x Intel Xeon E5 v4 10-core, 256
GB RAM, Windows 10.
Pros: – High-performance GPUs for intensive computing task… – Generous RAM and storage options – Support for NVLink in Server-8% plan – Windows 10 operating system – Discounts for longer rental periods or multiple se…
Cons: – No NVLink support in Server-4% plan – Limited CPU core count in Server-4% plan – No detailed information on additional features or…
GPU Dedicated Server Prices
Product Details: MaxCloudON offers GPU Dedicated Servers optimized for Machine Learning, Data mining, and GPU rendering. Servers are equipped with Nvidia GPUs, sufficient VRAM, and NVMe storage. Plans include public IP options and customizable configurations.
Pros: – Transparent and competitive pricing with no hidden… – Dedicated computing servers optimized for maximum… – Easy to use with no need for IT management or spec… – Flexible pricing plans available on a daily, weekl… – Free storage, networking, and other services compa… – 48-hour free trial available for testing. – Custom software and support for various 3D renderi… – Refund policy within 14 days of payment.
Cons: – Prices exclude VAT. – Public IP costs $5 per VM and must be manually ass…
Comparison Table
| Company | Product Details | Pros | Cons | Website |
|---|---|---|---|---|
| NVIDIA GPU Servers | Silicon Mechanics offers GPU-accelerated servers with various form factors, GPU densities, and stora… | – Highly customizable via online system configurator – Supports PCIe Gen5 and HBM3 memory for high p… | – Prices do not include shipping, handling, or taxes – Prices and configurations subject to change w… | www.siliconmechanics.com |
| GPX GPU-Optimized Servers | The GPX QS4-12E2-4GPU and GPX QH12-24E4-10GPU models support up to 4 and 10 full-width GPUs respecti… | – High-performance capabilities for HPC and AI workl… – Support for multiple NVIDIA GPUs – High-sp… | – High cost, especially for models with extensive GP… – Complex setup may require technical expert… | www.thinkmate.com |
| How much does a GPU server cost? | A GPU server can cost from $1000 to much higher, depending on hardware, density, and use cases. Cons… | – High performance for tasks like AI, machine learni… – Customizable to fit specific use cases – A… | – Building out a GPU server can be daunting and expe… – High power usage can increase monthly bill… | www.icc-usa.com |
| Supermicro GPU SuperServer | Supermicro GPU SuperServer systems are designed for AI, Machine Learning, and High-Performance Compu… | – Optimized for AI, Machine Learning, and HPC applic… – Supports multiple high-performance GPUs -… | – High power consumption – Expensive compared to non-GPU servers – Complex setup and configuration r… | store.supermicro.com |
| GPU Dedicated Servers with Affordable Pricing | Operating systems include free CentOS, Ubuntu, Debian, and Windows Server options. Additional servic… | – Transparent pricing with no hidden fees or setup c… – Flexible billing options allowing users to… | – Bandwidth usage can be influenced by shared resour… – Security verification process for free tri… | www.gpu-mart.com |
| Supermicro GPU Servers for AI & Machine Learning | Supermicro GPU servers are built with the latest hardware and software, including NVIDIA GPUs, power… | – Unparalleled performance and reliability for compl… – Support for up to 10 NVIDIA GPUs and multi… | – Prices subject to change without notice and do not… – Potential for additional costs due to reco… | www.thinkmate.com |
| GPU Servers ( 15 ) | ASUS offers various GPU servers for AI, HPC, and HCI. Models include 2U and 4U servers with Intel Xe… | – High-performance capabilities with up to 8 NVIDIA… – Support for latest Intel Xeon Scalable and… | – High power consumption with up to four 3000W Titan… – Complex setup and maintenance due to advan… | servers.asus.com |
| [D] GPU Server Alternatives: How to Avoid High Costs for … | Modal: A serverless GPU provider for running GPU workloads. It offers batching features and supports… | – Allows for usage-based pricing, reducing costs for… – Supports batching requests, improving thro… | – May have long startup times for large models. – Batching feature is still in beta, with potential…. | www.reddit.com |
| Price | GPU Server Rental | XESKTOP offers two GPU server rental plans. Server-4%: $6/hour, 10x GTX 1080Ti, 2x Intel Xeon E5 v4… | – High-performance GPUs for intensive computing task… – Generous RAM and storage options – Support… | – No NVLink support in Server-4% plan – Limited CPU core count in Server-4% plan – No detailed infor… |
| GPU Dedicated Server Prices | MaxCloudON offers GPU Dedicated Servers optimized for Machine Learning, Data mining, and GPU renderi… | – Transparent and competitive pricing with no hidden… – Dedicated computing servers optimized for… | – Prices exclude VAT. – Public IP costs $5 per VM and must be manually ass… | maxcloudon.com |
Frequently Asked Questions (FAQs)
# How Much Does a GPU Server Cost?
A GPU server can range from as low as $1000 to much higher costs, depending on the hardware, use case, and additional factors like power usage and software costs?.
# What Factors Affect the Cost of a GPU Server?
The cost is influenced by factors such as GPU model, power usage, software compatibility, and data center density?Understanding these factors is crucial to estimate your total expenses..
# Are There Any Discounts Available for GPU Servers?
Yes, many providers offer discounts?For example, CoreWeave offers up to 60% discounts for Reserved Instances and 25% for Bulk Credits, while Google Cloud provides sustained use discounts and committed use discounts..
# Should I Buy or Rent a GPU Server?
Buying a GPU server can be expensive, but it provides long-term ownership?Renting, on the other hand, offers flexibility with monthly or hourly rates and reduces maintenance hassles..
# How Do Hourly Rates for GPU Servers Compare?
Hourly rates vary by provider and GPU model?For instance, CoreWeave charges between $0.57 to $4.76 per hour for different NVIDIA GPUs, while on-demand H100 GPUs can cost around $3 to $3.5 per hour..
