2 x Intel Xeon 5218
CPU
32 Cores/64 Threads
GPU
T4
2 x Intel Xeon E5-2620v4
CPU
16 Cores/32 Threads
GPU
T4
2 x Intel Xeon E5-2620v4
CPU
16 Cores/32 Threads
GPU
T4
2 x Intel Xeon 5218
CPU
32 Cores/64 Threads
GPU
T4
2 x Intel Xeon 5218
CPU
32 Cores/64 Threads
GPU
T4
2 x Intel Xeon 5218
CPU
32 Cores/64 Threads
GPU
T4
2 x Intel Xeon E5-2630v4
CPU
20 Cores/40 Threads
GPU
T4
2 x Intel Xeon E5-2650v4
CPU
24 Cores/48 Threads
GPU
2x T4
2 x Intel Xeon 5318Y
CPU
48 Cores/96 Threads
GPU
T4
2 x AMD EPYC 7413
CPU
48 Cores/96 Threads
GPU
L4
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| Model | Mem (Type) | Mem BW (GB/s) |
Power (W) |
FP64 (TFLOPS) |
FP32 (TFLOPS) |
INT8 (TOPS) |
Use-Case |
|---|---|---|---|---|---|---|---|
| NVIDIA L40S | 48 GB GDDR6 | 864 | 350 | N/A | 91.6 | 733 | Inference & Graphics |
| NVIDIA H100 | 80 GB HBM3 | 3 350 | 700 | N/A | ≈ 60 | 1 216 | LLM Training, HPC |
| NVIDIA Tesla T4 | 16 GB GDDR6 | 300 | 70 | N/A | 8.1 | 130 | Edge Inference, Transcode |
| NVIDIA L4 | 24 GB GDDR6 | 300 | 72 | N/A | 30 | 147 | Video AI, Inference |
| NVIDIA H200 | 141 GB HBM3e | 4 800 | 700 | N/A | N/A | N/A | Next-Gen LLM & HPC |
| NVIDIA A30 | 24 GB HBM2 | 933 | 165 | N/A | 10.3 | 330 | AI Training, HPC |
| AMD MI210 | 64 GB HBM2e | 1 600 | 300 | 11.9 | 22.7 | N/A | FP64 HPC, AI Training |
| NVIDIA A100 | 40 GB HBM2e | 1 555 | 250 | 9.7 | 19.5 | 624 | Training & Analytics |
| NVIDIA RTX A4000 | 16 GB GDDR6 (with ECC) | 448 | 140 | N/A | ≈ 19.2 | N/A | Professional Graphics, AI-accelerated Compute |
| NVIDIA RTX A5000 | 24 GB GDDR6 (with ECC) | 768 | 230 | N/A | ≈ 27.8 | ≈ 444 (Int8) | High-End Graphics, AI & Compute Tasks |
| NVIDIA Tesla V100 | 16 GB (or 32 GB) HBM2 | 900 | 300 | 7–7.8 | 15–15.7 | TFLOPS ≈ 125 | AI Training, HPC |
Our dedicated server with a GPU is deployed on bare metal infrastructure for maximum compute performance. No virtualization, no noisy neighbors, just pure, isolated GPU power dedicated entirely to your workloads.
We offer the latest NVIDIA GPUs, including H100, L40S, and RTX 6000 series. Perfect for high-throughput compute tasks, our dedicated GPU hosting ensures stability, speed, and deep learning compatibility out of the box.
Every dedicated root server GPU plan comes with full root-level access. This gives you full control over the OS, kernel modules, driver installations, and GPU configurations, allowing you to fine-tune performance based on specific workloads.
We support multi-GPU setups on select configurations. For users needing parallel GPU acceleration, this offers the ability to scale training, rendering, or simulation tasks across multiple dedicated GPUs without compromise.
RedSwitches GPU dedicated servers are available across multiple 20+ global data centers. Select the region closest to your users or training hubs for optimized latency, compliance, and performance, which is ideal for distributed GPU workloads.
We pair our dedicated GPU servers with DDR4 or DDR5 ECC memory. This ensures faster memory bandwidth, error correction, and stability under intense loads, such as during model training or complex matrix computations.
For heavy-duty GPU workloads, we offer configurations with advanced cooling setups. Our thermal management ensures consistent performance and hardware protection, even during prolonged, resource-intensive compute cycles.
Our GPU on a bare-metal server supports passthrough for both containerization and virtualization. Ideal for developers building isolated GPU apps using Docker, KVM, or VMware, without sacrificing raw hardware access.
All RedSwitches GPU servers can come with pre-installed NVIDIA drivers and CUDA libraries. Get started faster with TensorFlow, PyTorch, and other GPU-accelerated frameworks without worrying about compatibility issues.
Choose between monthly or custom long-term pricing. Whether you're scaling AI research or managing a rendering pipeline, our dedicated GPU hosting is tailored to meet your technical and budget requirements.
Our GPU dedicated servers operate in ISO-certified data centers with DDoS protection, firewall integration, and private networking options. Your GPU workloads stay secure, isolated, and always under your control.
Our GPU servers support transformer-based NLP models. CUDA acceleration powers fast tokenization, attention layers, and multi-language support. Dedicated GPU memory handles vast vocabularies, making it ideal for chatbots, translation engines, and AI-driven sentiment analysis platforms.
Our servers reduce rendering times with GPU-accelerated ray tracing. CUDA cores manage complex lighting, shading, and particle effects, while large VRAM supports ultra-high resolution scenes. Designed for studios, CAD teams, and creative professionals.
GPU clusters at RedSwitches process massive autonomous driving datasets. Multi-GPU nodes handle sensor fusion, LiDAR interpretation, and neural path planning. Dedicated server environments support model isolation, simulation, and real-time decision engines for automotive AI development.
Our servers offer exceptional hash rate performance for GPU-based mining and smart contract verification. CUDA acceleration boosts efficiency, while dedicated memory handles large DAG files and cryptographic workloads. Best for blockchain validators and decentralized computing ecosystems.
Our GPU servers are optimized for low power and high efficiency in AI inference. Use them to serve image classifiers, language models, and speech recognition tools at scale. Ideal for SaaS platforms needing high-volume inference with minimal resource overhead.
RedSwitches GPU servers power diagnostic platforms analyzing CT and MRI data. GPUs accelerate deep learning models for tasks such as segmentation, classification, and anomaly detection. With high memory and consistent performance, we support hospitals developing radiology, pathology, and screening tools.
Our servers render immersive VR environments with minimal latency. Dedicated GPU power ensures high frame rates, while CUDA cores handle real-time physics and lighting. Ideal for enterprise VR training apps, simulations, and interactive content experiences.
RedSwitches GPU servers power advanced game engines with real-time ray tracing and ultra-fast texture rendering. CUDA cores handle physics, shaders, and lighting simulations. Ideal for AAA titles, immersive environments, and high-fidelity interactive entertainment experiences.
Financial institutions use our GPU servers to run fraud detection algorithms at scale. Massive memory bandwidth and CUDA acceleration enable the processing of real-time transaction streams to identify anomalies quickly. Critical for banks, fintech apps, and payment processors in the fight against fraud.
4.7
4.9
4.9
A GPU dedicated server includes one or more graphics cards alongside traditional CPUs. Unlike standard servers, which handle sequential tasks, GPU servers are optimized for parallel processing, making them ideal for machine learning, image rendering, and data-intensive tasks. At RedSwitches, our dedicated GPU server hosting gives you full hardware access, enabling faster performance for compute-intensive workloads. It’s essential for AI training, simulations, and any job where speed and scale are crucial.
With dedicated GPU hosting, you gain full access to a physical GPU, with no sharing or throttling. In contrast, virtual GPU instances (vGPUs) share the same GPU across multiple users, which limits performance. At RedSwitches, our dedicated server hosting GPU ensures full isolation and raw power for your workloads. You maintain complete control over the environment, drivers, and usage, ideal for AI, 3D rendering, or video processing, where every GPU cycle counts.
GPU memory directly impacts the amount of data your model can process in one go. Larger memory allows for larger batch sizes, faster training, and improved performance. For deep learning tasks such as NLP or computer vision, memory-intensive models require high VRAM GPUs.
We prioritize data protection. All our GPU dedicated servers include DDoS protection, firewall setup options, private networking, and full root access to control permissions. Our data centers follow strict ISO and GDPR compliance standards. Whether you’re running medical AI or financial algorithms, RedSwitches gives you a secure environment with full transparency and control. Your data and compute stay isolated, encrypted, and protected at all times.
CUDA cores are the tiny processors inside NVIDIA GPUs. They handle math-intensive tasks, such as matrix operations, which are essential for machine learning and rendering. The more CUDA cores you have, the faster your parallel workloads will run. RedSwitches GPU dedicated server hosting includes high-core GPUs optimized for AI, deep learning, and HPC applications. With full control over drivers and frameworks, you can harness every CUDA core to accelerate your project’s performance.
We will consult, architect, migrate, manage and do whatever it takes to help your business grow and succeed.
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