GPU Dedicated Servers
GPU Bare Metal Servers with extraordinary acceleration for data analytics, AI, media content streaming and high-performance computing (HPC).
NOTE: Due to the worldwide semiconductor shortage our GPU Dedicated Servers continue to be low in stock and we expect this situation to last through the rest of the year. Units will be restocked as they become available, and orders will be processed on a first-come-first-served basis.
GPU-Powered Bare Metal Dedicated Servers
High computing workloads with endless possibilities
Our Dedicated Server with GPU offers a powerful set of GPU-powered bare metal servers, deployed from our Miami, FL USA Data Center. These units are built with a massive parallel architecture consisting of thousands of smaller, more efficient CUDA cores designed to handle multiple tasks simultaneously. With GPUs installed, the amount of raw processing power from our dedicated servers is orders of magnitude greater than what can be achieved with CPUs alone.
With our selection of GPU Bare Metal Dedicated Servers, you will have the infrastructure required to deploy high performance computing with significantly increased processing performance, compared to Dedicated Servers with CPU’s alone. This is due to the thousands of efficient cores designed to process information faster. These are bare-metal servers powered by your choice of NVIDIA GeForce, TESLA or GRID GPU boards.
Our GPU Dedicated Servers lets you deploy high-performance parallel computing that is significantly more efficient to process highly intensive workloads than traditional CPUs.
Bare Metal GPU Servers are ideal for delivering record acceleration and more efficient compute performance through parallel processing and big data applications.
With years in hosting & data center experience, you're in safe and friendly hands. VelociHOST is here for you around the clock, dedicated to serving you with prompt ticket resolution.
Rapidly deploy highly scalable GPU Servers in the cloud, installing up to 4 GPUs per node, which dramatically increases capacity to host high-performance applications in the cloud.
The most cost-effective GPU Bare Metal Server Hosting Provider
Cloud processing for machine learning inference and graphics-intensive applications
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Reduced App Latency
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NVIDIA GeForce Series GPU Server Plans
Leverage CUDA and CuDNN. Train Deep Learning models with TensorFlow and NVIDIA Ampere RTX GPUs
| Plan | CPU Intel Xeon | RAM | Storage | GPU | Deploy | Data Center | Price/ Month | Order |
|---|---|---|---|---|---|---|---|---|
| GTX.UP.15 Available | 1x E5-2670 v2 2.50GHz 10C/20T | 32GB | 500 GB SSD | 1 x NVIDIA GeForce GTX 1060 | 4 Hours | Miami | $229 | Configure |
| GTX.UP.9 Available | 1 x E5-1620 v2 3.70 GHz 4C/8T | 32GB | 240GB SSD | 1 x NVIDIA GeForce GTX 1070Ti | 4 Hours | Miami | $249 | Configure |
| GTX.UP.92 Available | 1 x E5-2660 2.20 GHz 8C/16T | 32GB | 1TB SSD + 2TB HDD + 4TB HDD | 1 x NVIDIA GeForce GTX 1070 | 4 Hours | Miami | $299 | Configure |
| GTX.DP.16 Available | 2x E5-2670 v2 2.50GHz 20C/40T | 64GB | 500 GB SSD | 2 x NVIDIA GeForce GTX 1080 | 4 Hours | Miami | $369 | Configure |
| RTX.UP.12 NEW Available | 1 x E5-2680 v4 2.40GHz 14C/28T | 64GB | 1 TB SSD | 1 x NVIDIA GeForce RTX 3060 | 4 Hours | Miami | $399 | Configure |
| RTX.UP.13 NEW Available | 1 x E5-2650 v4 2.20GHz 12C/24T | 64GB | 1 TB SSD | 1 x NVIDIA GeForce RTX 3060 Ti | 4 Hours | Miami | $429 | Configure |
| RTX.DP.14 NEW Available | 2 x E5-2650 v4 2.20GHz 24C/48T | 64GB | 1 TB SSD | 1 x NVIDIA GeForce RTX 3070 | 4 Hours | Miami | $479 | Configure |
| RTX.DP.16 NEW Available | 2 x E5-2650 v4 2.20GHz 24C/48T | 64GB | 2x 1 TB SSD | 2 x NVIDIA GeForce RTX 4070 | 4 Hours | Miami | $589 | Configure |
| GTX.DP.4 Available | 2 x E5-2660 v3 2.60GHz 20C/40T | 64GB | 1x 250 GB SSD 2x 1 TB SSD | 4 x NVIDIA GeForce GTX 1060 | 4 Hours | Miami | $549 | Configure |
| RTX.DP.15 NEW Available | 2 x E5-2680 v4 2.40GHz 28C/56T | 128GB | 2x 1 TB SSD | 4 x NVIDIA GeForce RTX 3060 | 48 Hours | Miami | $749 | Configure |
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Advantages of GPU Dedicated Servers with NVIDIA GeForce GPUs
Cloud Servers with GPUs and a comprehensive set of features
- Ideal for progressive deep learning workloads
- Perfect for standard AI and HPC capabilities
- Bare Metal Server Performance
- Higher inference performance compared to CPUs
- 4-hour deployment
- Unprecedented Machine Learning acceleration
- IPv4 + IPv6 Enabled
- Miami, FL USA Data Center
- 1 GigE Dedicated Data Ports
- Network Level Threat Detection
- Free Private Traffic Between Multiple Servers
- Enterprise-focused Acceptable Use Policy
With NVIDIA RTX GPUs with Ampere architecture, including the third generation of Tensor Cores that enable mixed-precision computing, dynamically adapt calculations to accelerate throughput while preserving accuracy.
We recommend a GPU server for most deep learning and AI capabilities workloads. Training new models is faster on a GPU powered system than a CPU based server. Also, with our GPU-based bare metal servers and TensorFlow end-to-end open-source platform for machine learning, is easy, efficient and cost-effective for beginners and experts to create machine learning models in the cloud.
In addition, the new RT Cores on the RTX based bare metal servers are accelerator units that are dedicated to performing ray-tracing operations with extraordinary efficiency, enabling designers and artists to use ray-traced rendering to create photorealistic objects and environments with physically accurate lighting. GPU servers with RT cores push what’s possible in real time rendering to new heights.
NVIDIA TESLA and GRID GPU Servers
Solve your most demanding HPC and big data challenges
| Plan | CPU Intel Xeon | RAM | Storage | GPU | Deploy | Data Center | Price/ Month | Order |
|---|---|---|---|---|---|---|---|---|
| T.K80.1.2 Available | 2 x E5-2623 v3 3.00GHz 8C/16T | 32 GB | 1TB SSD | NVIDIA Tesla K80 | 4 Hours | Miami | $289 | Configure |
| T.K80.1.3 Available | 2 x E5-2623 v3 3.00GHz 8C/16T | 32 GB | 3 x 4TB HDD | NVIDIA Tesla K80 | 24 Hours | Miami | $295 | Configure |
| T.K80.2 Available | 2 x E5-2620 v3 2.40GHz 12C/24T | 64 GB | 500GB SSD | 2 x NVIDIA Tesla K80 | 4 Hours | Miami | $499 | Configure |
| T.K80.3 Available | 2 x E5-2620 v3 2.40GHz 12C/24T | 128 GB | 1TB SSD | 3 x NVIDIA Tesla K80 | 7 Days | Miami | $699 | Configure |
| T.P4.1 NEW | 2 x E5-2623 v3 3.00GHz 8C/16T | 32 GB | 1TB SSD | NVIDIA Tesla P4 | 4 Hours | Miami | $419 | Configure |
| T.P4.2 NEW | 2 x E5-2623 v3 3.00GHz 8C/16T | 64GB | 1TB SSD | 2 x NVIDIA Tesla P4 | 7 Days | Miami | $549 | Configure |
| T.V100.1 NEW | 2 x E5-2650 v4 2.20GHz 24C/48T | 64 GB | 1TB SSD | NVIDIA V100 Tensor Core | 7 Days | Miami | $699 | Configure |
| T.V100.2 NEW | 2 x E5-2650 v4 2.20GHz 24C/48T | 128 GB | 2TB SSD | 2 x NVIDIA V100 Tensor Core | 7 Days | Miami | $1399 | Configure |
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Advantages of NVIDIA TESLA and GRID GPU Servers
Machine Learning and Training Performance with VelociHOST's Cloud GPU Servers
VelociHOST harnesses the power of GPUs for unprecedented performance to ingest, explore, and visualize streaming data in real time.
NVIDIA Tesla GPU accelerators installed in our Dedicated Servers can solve your most demanding HPC and big data challenges. Using CUDA and OpenCL, you can increase the speed of complex processing, rendering, machine learning, high performance databases, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, and other server-side workloads requiring massive parallel floating point processing power.
With GPU-powered Dedicated Servers you can accelerate code builds, data builds, development tasks, and reduce development time to hours instead of days. Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express application parallelism and take advantage of the innovative Kepler architecture.
Choice of GPU types available
Deploy your GPU-powered Dedicated Server with our selection of NVIDIA Tesla K80, K40, K20X or K10 GPU Accelerators. Immediate availability to deploy, depending on your compute or application needs.
Scalable GPU count
We provide up to 4 GPU NVIDIA Tesla K10, 2 x K20X, 1 x K40 or 2 x K80 in a single Dedicated Server. Multiple GPUs can work together within a single host with up to a maximum of 4 GPUs.
Bare Metal Performance
Our GPUs are directly attached to the bare metal server’s PCIe 3.0 bus to provide maximum performance. There is no virtualization layer undermining the GPUs capabilities.
Are you looking for a different GPU Server configuration?
Talk with a customer service specialist now for a customized configuration
NVIDIA Tesla P4 for Deep Learning
Cloud Bare Metal GPU Servers Optimized for Inference Performance
Our Cloud GPU Dedicated Servers leverage the NVIDIA Tesla P4, powered by the revolutionary NVIDIA Pascal architecture that is purpose-built to boost efficiency for scale-out servers running deep learning workloads. This enables smart responsive AI-based services and reduces inference latency by 15X in any hyperscale infrastructure while providing 60X better energy efficiency than CPUs. This unlocks a new wave of AI services previously impossible due to latency limitations.
Some use cases of the NVIDIA Tesla P4 GPU are interactive speech, visual search, and video recommendations. With newer models increasing in accuracy and complexity, CPUs are no longer capable of delivering a responsive user experience.
The Tesla P4 delivers 22 TOPs of inference performance with INT8 operations. Additionally, Tesla P4 can transcode and infer up to 35 HD video streams in real-time.
It also provides an incredible efficiency compared to CPUs for deep learning inference workloads, letting hyperscale customers meet the exponential growth in demand for AI applications.
Included Features with our NVIDIA TESLA GPU Servers
A comprehensive set of features
- Up to 5.82 Tflops Peak double-precision floating point performance
- Up to 17.46 Tflops Peak single-precision floating point performance
- 9984 CUDA cores available
- 48 GB GDDR5 Memory per server
- SMX, Dynamic Parallelism, Hyper-Q
- Up to 4 GPUs per server available
- System monitoring features
- OpenCL, CUDA, Vulkan or OpenGL support
- Asynchronous transfer with dual DMA engines
- Flexible programming environment
World Class Data Centers
Our premier Data Center is located in a strategic geographic facility in Miami, FL USA. This allows our GPU Servers solutions to provide the best connectivity to Latin America, U.S. East Coast, and Western Europe. Every GPU Bare Metal Server is connected to our blend of Tier-1 Internet Providers and have direct access to the FL-IX Internet Exchange Point.
Cloud Gaming with NVIDIA GRID GPU Servers
A cost-effective and high-performance platform for game streaming
NVIDIA GRID K520 GPUs provide a cost-effective, high-performance platform for graphics applications using DirectX or OpenGL. NVIDIA GRID GPUs also support NVIDIA’s fast capture and encode API operations.
The NVIDIA GRID K520 can also leverage its capabilities for other server-side graphics workloads, like streaming graphics-intensive applications, video creation services, and 3D visualizations. Empower your Cloud Gaming business with our NVIDIA GRID K520 powered Cloud Gaming Servers.
Our Dedicated Servers powered by NVIDIA Kepler architecture-based GRID boards deliver the highest-density and highest-performance solutions available for cloud gaming platforms.
Predictable, pay-as-you-go pricing
With fixed and affordable pricing you never have to worry about your monthly bill. Pay for what you use, and scale up on demand.
All our GPU Servers are deployed on physical bare metal nodes. These are dedicated servers with Graphic Card units built-in. This product is not offered on virtual private servers (VPS).
GPU Servers are deployed within 2 to 4 hours after cleared payment. This also applies on weekends and holidays. Customized orders may take up to 48 hours.
Due to worldwide insufficiency of IPv4 resources, additional IPv4 address requests are reviewed on a per-client basis. You can request additional IP resources in a support ticket.
Yes, it can. All active GPU Servers can be upgraded with a different processor, more RAM memory, bigger storage space and bandwidth. Keep in mind, servers would have to be shut down momentarily while the upgrade process takes place. Contact us for a quote.
Each GPU Server includes a 1Gbps port, with 10Gbps data ports available. Our network is fully redundant with diverse IP transit and Internet Exchange Point fiber links. This arrangement provides the best latency and less hops to every destination in the world. You can contact us if you need additional ports.
Our GPU Bare Metal Servers are deployed from our Data Center located in Miami, FL USA. Our strategic location guarantees the lowest latency to Latin America, Western Europe, Canada, and Eastern U.S.
Yes, our GPU Servers can be fully customized with plenty of options, such as CPU, RAM, NVMe, SSD or HDD Storage space, as well as bandwidth capacity. Need a quote? Get in touch.
VelociHOST operates the hardware and network infrastructure. GPU Servers are self-managed by customers. We do not provide server administration.
Our GPU Dedicated Servers can be paid with PayPal verified accounts, and Credit / Debit Cards. We also offer ACH/bank wire transfers per client’s request. If you need to arrange for special payment plan, contact our sales team.
Unfortunately, no, we do not offer trial servers. Therefore, we do not offer refunds for deployed services. Please contact our sales team if you have questions before ordering.
Yes, you can always upgrade to a quarterly or yearly billing cycle if you want to take advantage of bigger discounts that usually comes with longer-term commitments.