GPU (Graphics Processing Unit) servers are specialized servers equipped with one or more high-performance GPUs
AI_HOST 4 x H100 |
AI_HOST 8 x A100 |
Enterprise GPU AI-1 |
Enterprise GPU AI-2 |
|
---|---|---|---|---|
GPU | 4 x NVIDIA H100 SXM5 NVLink | 8 x NVIDIA A100 80GB | 1 x Geoforce RTX 4090 24G OC | 2 x Geoforce RTX 4090 24G OC |
Processor | Intel Xeon Gold 6430 Processor 32-Core 2.10 GHz | AMD EPYC 7313 100-000000329 EPYC Milan 16 Core 3.0 GHz | Ryzen Threadripper PRO 5965WX, 24 Cores | Ryzen Threadripper PRO 5965WX, 24 Cores |
RAM | 512 GB DDR5 | 1 TB DDR4 | 64GB DDR4 | 128GB DDR4 |
Storage | 2 x 960 GB NVMe | 2 x 960 GB NVMe | 2 x 960 GB NVMe | 2 x 960 GB NVMe |
Bandwidth | 10 GigE unmetered | 10 GigE unmetered | -- | -- |
CPU | 16 Cores 3.0 Ghz 32 T | 16 Cores 3.0 Ghz 32 T | 24 Cores / hreads 3.8Ghz 48 Threads | 24 Cores / 48 Threads 3.8Ghz |
AI-driven image recognition, video analysis, and computer vision tasks heavily rely on GPUs for real-time processing and accuracy.
NLP models, such as BERT and GPT-3, require significant computational resources for training and fine-tuning. GPUs speed up this process.
Self-driving cars depend on AI algorithms for perception and decision-making. GPUs are crucial for processing data from sensors and making split-second decisions.
AI assists in diagnosing diseases, drug discovery, and genomics. GPUs enable researchers to process vast datasets and run simulations efficiently.
AI is used for risk assessment, fraud detection, and algorithmic trading in the financial sector. GPUs accelerate data analysis and predictive modeling.
As your AI projects grow, our scalable solutions let you add more GPUs or resources to accommodate increased workloads.
AI-driven image recognition, video analysis, and computer vision tasks heavily rely on GPUs for real-time processing and accuracy.
NLP models, such as BERT and GPT-3, require significant computational resources for training and fine-tuning. GPUs speed up this process.
Self-driving cars depend on AI algorithms for perception and decision-making. GPUs are crucial for processing data from sensors and making split-second decisions.
AI assists in diagnosing diseases, drug discovery, and genomics. GPUs enable researchers to process vast datasets and run simulations efficiently.
AI is used for risk assessment, fraud detection, and algorithmic trading in the financial sector. GPUs accelerate data analysis and predictive modeling.
As your AI projects grow, our scalable solutions let you add more GPUs or resources to accommodate increased workloads.
Training deep neural networks, natural language processing, image recognition, and recommendation systems all benefit from GPU acceleration.
GPUs enable researchers to run simulations, analyze complex datasets, and model phenomena in fields like physics, chemistry, and astronomy.
GPU servers expedite medical imaging, drug discovery, genome sequencing, and disease modeling, advancing healthcare and life sciences.
GPU servers drive high-frequency trading, risk analysis, portfolio optimization, and cryptographic tasks, ensuring financial security and efficiency.
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– FREE Migration Assistance†
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