Ultra-Premium Pro GPU Solutions
GPU Dedicated Servers for AI Training
Enterprise NVIDIA GPU dedicated servers with H100, A100, and RTX GPUs power AI training, machine learning inference, and deep learning workloads. High performance CUDA acceleration on scalable GPU cloud servers handles demanding neural networks smoothly.
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GPU 0: NVIDIA H100
87% Active
GPU 1: NVIDIA A100
92% Active
Performance
Optimal
VRAM
80GB HBM3
CUDA Cores
16896
Fast, Focused, GPU-Driven
For Innovators, Researchers, and AI Developers
Enterprise GPU dedicated servers with cutting edge NVIDIA hardware deliver exceptional performance for AI training, machine learning, and deep learning workloads. Lightning fast networks ensure zero latency for data intensive neural network training. Designed for scalability and reliability, our GPU servers provide the computational power AI researchers and developers demand.
- Professional grade servers for GPU power.
- Dedicated GPU resources with no sharing.
- Lightning-fast connectivity, zero interruptions.
- Secure, climate-controlled Tier 3 data centers.
- Maestro Support: Awake 24/7 for you!
- Scale GPU resources with dynamic growth.
- Ease and Security with Crypto Payments.
ENTERPRISE GPU SERVERS FOR AI TRAINING AND DEEP LEARNING
- 1 x E5-2620v3 @ 2.40GHz
- GeForce GTX 1080 Ti GPU
- 11GB GDDR5X VRAM
- 3,584 CUDA Cores
- 32GB DDR4 RAM
- 240GB NVMe
- 1x IPv4 | 1Gbps Uplink
- 1 x E5-2620v3 @ 2.40GHz
- 2 x GeForce GTX 1080 Ti
- 22GB GDDR5X VRAM
- 7,168 CUDA Cores
- 128GB DDR4 RAM
- 240GB NVMe
- 2 x E5-2670v3 @ 2.30GHz
- 2 x GeForce RTX 3080 GPU
- 20GB GDDR6X VRAM
- 17,408 CUDA Cores
- 272 Tensor Cores
- 128GB DDR4 RAM
FREQUENTLY ASKED QUESTIONS
FAQs About Offshore GPU /
AI Dedicated Servers
GPU servers accelerate workloads like AI/ML model training, deep learning, 3D rendering, scientific simulations, and parallel computing tasks.
Unlike standard servers, our GPU servers include dedicated NVIDIA hardware with thousands of CUDA cores, designed specifically for massive parallel processing and high-speed data throughput.
We provide high-performance NVIDIA accelerators, including the H100, A100, RTX 3080 Ti, and GTX 1080 Ti series, optimized for various computational needs.
Yes, our multi-GPU configurations allow you to partition resources or run parallel training sessions using frameworks like Docker and Kubernetes.
Absolutely. All GPU servers come with CUDA and Tensor Core support, making them fully compatible with TensorFlow, PyTorch, Keras, and other leading AI frameworks.
Offshore hosting provides enhanced data privacy and flexible content policies, ensuring your research and intellectual property remain protected under strict privacy jurisdictions.
We offer rapid provisioning. Most GPU configurations are deployed and ready for use within 24 to 48 hours depending on the specific hardware request.
We recommend our Enterprise NVMe RAID storage options to ensure lightning-fast dataset access, which is critical for preventing bottlenecks during GPU training cycles.
Start Training Today, Scale Your AI Models Faster
Deploy high-performance NVIDIA GPUs and take your research to the next level.