Dedicated GPU Servers
Experience powerful GPU hosting optimized for AI, machine learning, deep learning, Android emulators, and advanced language models.
AI Acceleration
Custom Configurations
Low Latency
Efficient GPU power for HPC Workloads
Accelerate your high performance computing (HPC) projects with Fit Servers Dedicated GPU Servers. Powered by top-tier AMD and Nvidia GPU accelerators, our bare metal servers are built for AI, machine learning, data processing, and gaming. Designed for highly intensive workloads, our GPU servers excel in AI model training, complex simulations, and high performance gaming. Choose from pre configured setups or fully customize your server to match your exact requirements.
With Fit Servers, you get unmatched performance, reliability, and seamless scalability. Deploy in minutes and power your applications with the best GPU server solutions available.
Why GPU Servers Are a Game-Changer
Ideal for heavy workloads such as machine learning and 3D rendering, they handle multiple tasks simultaneously. Plus, they’re a cost-effective solution, replacing multiple CPUs with a single, powerful GPU. Here’s why they’re so useful
Super Fast Performance
GPUs can do many tasks at the same time, making them much faster than regular CPUs. Whether you’re working on AI, video editing, or data analysis, GPU Servers get the job done quickly.
Great for Heavy Workloads
Tasks like machine learning, 3D rendering, and scientific research need a lot of power. GPUs are perfect for these jobs because they can handle many tasks at once.
Saves Money
Instead of buying multiple CPUs to do heavy work, one GPU can often do the same job for less cost. This makes GPU Servers a budget-friendly option.
Most common use cases for GPU servers
We offer easy access to graphical rendering, scientific modeling, machine learning, and parallel computing technologies for small and medium-sized enterprises, delivering GPU servers or clusters as per requirements.
Deep Learning
Video Rendering
Gaming Servers
Data Analytics
What We Provide
NVIDIA H100 NVL – Unmatched AI & HPC Power
Experience breakthrough performance with the NVIDIA H100 NVL, featuring 94GB HBM3 memory and Hopper architecture. Achieve up to 30X faster AI inference, 9X AI training acceleration, and 7X HPC speedup.
NVIDIA L4 – Versatile & Energy-Efficient GPU
Optimize performance with the NVIDIA L4, perfect for video rendering, ML processing, game streaming, and virtualization. With 50% more memory than the T4, it delivers up to 2.5X better efficiency.
NVIDIA L40S – Powering AI, ML & HPC
Designed for LLMs, ML tasks, HPC, and video rendering, the NVIDIA L40S outperforms the A100 with 1.2X better AI inference and 1.7X faster training.
NVIDIA Tesla T4 – Efficiency Meets Versatility
The Tesla T4 excels in compute and VDI workloads, seamlessly switching between tasks. Its compact design and low power usage make it ideal for diverse servers.
NVIDIA A30 & A100 – Top-Notch AI and HPC Performance
The A30 and A100 GPUs offer exceptional performance for deep learning and HPC applications, providing powerful acceleration for demanding AI workloads.
NVIDIA A40 – Optimized for Graphics and Video Performance
The NVIDIA A40 GPU excels in graphics processing, making it ideal for video rendering, virtual reality, and VDI applications, ensuring top-tier performance.
Frequently Asked Questions
-
What is a
GPU dedicated server?
It’s a physical server equipped with powerful GPUs (graphics processing units), designed for demanding tasks like AI, machine learning, data processing, and gaming.
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What types
of GPUs are available?
We offer both AMD and Nvidia GPUs, including the latest models to handle high-performance computing (HPC) tasks.
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How are GPU
servers different from regular servers?
GPU servers are specialized for graphics-heavy and parallel computing tasks, unlike regular servers optimized for general processing work.
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Can I
customize a GPU server?
Absolutely! You can customize your GPU server to your needs by selecting the GPU model, processor, RAM, storage, and more.
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How long
does setup take?
Our standard deployment time for all dedicated servers, including pre configured models, is 24-48 hours. This ensures your server is provisioned correctly and ready for your workload.
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What are GPU
servers used for?
They’re perfect for AI training, machine learning, data analytics, video rendering, scientific simulations, and high-performance gaming.