GPU Infrastructure Rental
GPU solutions at any scale
From 3D VDI to supercomputer clusters
Flexible configurations for any specific need
Available stock of hardware
Rent cloud or dedicated servers with powerful graphics cards that boost your infrastructure’s performance
A GPU infrastructure is a computing environment where servers, cloud resources, or workstations are equipped with Graphics Processing Units (GPUs) to accelerate demanding computational workloads.
GPU-powered servers deliver high performance for tasks such as neural network training, big data analytics, 3D rendering, and other operations that require parallel processing. They speed up data processing, improve resource efficiency, support scalability, and enable the use of specialized libraries for AI and HPC workloads.
GPU Infrastructure Options
Cloud Server with GPU
Enables businesses to run machine learning, analytics, AI, and HPC workloads efficiently
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Dedicated Server with GPU
A dedicated GPU server for maximum performance, reliability, and full control
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Supercomputer Rental
A high-performance integrated platform designed for large-scale AI workloads
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GPU Rental Options
| Availability | NVIDIA A16 | NVIDIA L40S | NVIDIA A800 | NVIDIA A100 | NVIDIA H100 | NVIDIA H200 | SOPHGO SC7 HP75 |
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Cloud Server
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Dedicated Server
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Use Cases
Machine Learning and Artificial Intelligence
Parallel computing and powerful GPU accelerators significantly reduce model training time.
Scientific Modeling and CUDA Computing
High computational power enables faster simulations, calculations, and modeling.
Computer Vision
Accelerated image and video processing helps efficiently handle object recognition, camera data analysis, and process automation.
Rendering and Video Processing
GPU servers deliver maximum performance for 3D graphics rendering and high-resolution video processing.
NVIDIA Graphics Accelerators
| Specifications | Architecture | CUDA-core | Tensor-core | RT-core | VRAM Capacity | MIG Technology Support | Bandwidth | Nvlink Support |
|---|---|---|---|---|---|---|---|---|
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NVIDIA A16
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AMPERE
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1 280
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160
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40
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64 GB (4X16 GB) GDDR6
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4x232 GB/s
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NVIDIA L40S
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ADA LOVELACE
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18 176
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568
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142
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48 GB GDDR6
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864 GB/s
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NVIDIA A100/A800
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AMPERE
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6 912
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432
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-
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80 GB HBM2e
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2 TB/s
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NVIDIA H200
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HOPPER
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16 896
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528
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-
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141 GB HBM3
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4,8 TB/s
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RTX Pro 6000 Blackwall Server Edition
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BLACKWALL
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24 064
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752
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188
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96 GB GDDR7
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1,6 TB/s
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SOPHGO Graphics Accelerators
SOPHGO SC7 HP75 is not a “classic” discrete GPU like NVIDIA’s but a highly efficient TPU accelerator. Its performance demonstrates strong capabilities in real-time inference, especially in use cases involving video stream processing and computer vision. SOPHGO accelerators serve as an effective alternative to traditional GPU solutions, delivering comparable or even higher performance for specialized AI workloads at lower cost.
Specifications
Performance
24-core ARM Cortex-A53 @ 2.3 GHz; up to 96 TOPS (INT8), up to 48 TFLOPS (FP16/BF16), up to 6 TFLOPS (FP32)
Video Support
H.264/H.265 codecs, decoding up to 2400 fps at 1080p; supports 8K, 4K, and lower resolutions
Memory
48 GB LPDDR4x
Bandwidth
205 GB/s