Top 10 Results
GPU Mart: GPU Hosting for AI, ML, DL & LLMs
www.gpu-mart.com
Jan 01, 2005
The platform also supports popular frameworks such as TensorFlow, PyTorch, and Keras, making it suitable for developers and researchers in the AI and ML fields. Additionally, GPU Mart provides a free trial and competitive pricing, along with discounts on GPU rentals. For more information, visit their pricing page or explore specific GPU options here.
Cloud GPU – Cloud instances for AI
us.ovhcloud.com
Jan 01, 2025
The Cloud GPU instances support 1 to 4 GPUs per server, high-speed public and private networks (up to 25 Gbps), and NVMe storage for enhanced performance. Use cases include training AI models for chatbots, deep learning for computer vision, and next-generation graphics rendering, making them suitable for industries like healthcare, finance, and media.
OVHcloud also emphasizes collaboration with NVIDIA to deliver tailored services for deep learning and high-performance computing. Users can quickly set up their services and receive $200 in free credits to start their first Public Cloud project. For more details, visit OVHcloud's Cloud GPU page.
Runpod | The cloud built for AI
www.runpod.io
Mar 15, 2024 RunPod
Key features include:
- **Serverless Autoscaling**: Automatically scales GPU resources from 0 to thousands based on demand, with zero idle costs.
- **Real-time Monitoring**: Provides instant logs and metrics without the need for custom frameworks.
- **Managed Orchestration**: Simplifies task distribution and orchestration, allowing developers to focus on building rather than managing infrastructure.
- **Persistent Storage**: Offers S3-compatible storage for seamless data handling throughout the AI pipeline.
RunPod is trusted by over 500,000 developers and is praised for its efficiency and cost-effectiveness, making it an ideal choice for those seeking reliable GPU server hosting for AI applications. For more information, visit RunPod.
GIGAGPU
gigagpu.com
ServerHub | Dedicated Servers, VPS Hosting, Cloud Hosting and Infrastructure as a Service (IaaS) - Built on the ServerHub Platform
serverhub.com
Key features include rapid server deployment (typically within 60 minutes), network speeds of up to 40 Gbps, and comprehensive remote management tools (IPMI/KVMIP access). ServerHub also provides 24/7 support and a 100% uptime guarantee, ensuring reliability for critical applications. For more details, you can visit their GPU server page here.
Rent High-Performance GPU Servers
hostkey.com
Feb 24, 2025
The servers come with options for pre-installed software frameworks such as TensorFlow and PyTorch, facilitating quick setup for AI and ML projects. Hosting plans are flexible, with hourly and monthly payment options available. Additionally, users can utilize an online configurator to create a custom server tailored to specific needs. Pricing starts at €70/month for VPS with dedicated GPU resources and €118/month for pre-configured servers.
For more information, visit HostKey's GPU dedicated servers page.
High-Performance GPU Servers for AI
cloudtweaks.com
May 10, 2025 Randy Ferguson
1. **Atlantic.Net**: Offers customizable GPU hosting solutions with NVIDIA L40S and H100 NVL, ideal for AI tasks. They support HIPAA-compliant environments, making them suitable for healthcare applications.
2. **Vultr**: Known for its simplicity and flexibility, Vultr provides GPU-accelerated instances across 17 global locations, catering to deep learning and high-compute workloads.
3. **OVHcloud**: Features GPU-powered servers like the HGR-AI-1 series with NVIDIA V100 GPUs, suitable for AI model training and simulation, along with scalable VPS options.
4. **AWS (Amazon Web Services)**: A leading cloud platform offering advanced GPU instances powered by NVIDIA A100 and proprietary Trainium chips, catering to a wide range of AI and HPC workloads.
5. **Google Cloud Platform**: Provides GPU instances and custom Tensor Processing Units (TPUs) for efficient execution of machine learning tasks, backed by Google’s robust infrastructure.
These platforms enable businesses to leverage powerful GPU resources without the need for expensive on-premise hardware, facilitating innovation in AI and related fields.
Server with GPU: for your AI and machine learning projects.
www.hetzner.com
May 12, 2025
- **GEX44**: Ideal for AI inference, this server is equipped with an Intel® Core™ i5-13500 CPU, 64 GB RAM, and an Nvidia RTX™ 4000 GPU, providing 306.8 TFLOPS of tensor performance. It is optimized for real-time applications like image recognition and speech processing, ensuring fast and accurate responses.
- **GEX130**: Designed for AI training, it boasts an Intel® Xeon® Gold 5412U CPU, 128 GB RAM, and an NVIDIA RTX™ 6000 GPU, delivering 1457.0 TFLOPS of tensor performance. This server is suitable for handling large datasets and complex calculations, making it perfect for tasks like image and language processing.
Both servers are powered by green electricity, comply with GDPR standards, and offer root access and remote management. Hetzner emphasizes affordability and high performance, making it a compelling choice for those seeking GPU server hosting for AI applications.
GPU Enabled Servers | WebNX Inc
webnx.com
May 19, 2023
GPU Servers Rental
www.gpuserversrental.com
Apr 26, 2022
The service emphasizes security, with all servers monitored and maintained in private facilities, and data securely wiped after each rental. Ideal for tasks like blockchain processing, machine learning, and rendering, GPU Servers Rental provides powerful bare metal servers to enhance computational capabilities without the need for expensive hardware. For customized needs, users can contact their support team for assistance.
For more details or to rent a server, visit GPU Servers Rental.
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