Rent high-end dedicated GPU server at reasonable prices

GPU speed: Server Configuration: GPU: 8 pcs 2080Ti (Each GPU card has: 4352 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 2080 Ti) GPU RAM: 88 GB (8x11Gb) GDDR6 CPU: 2x IntelÃÂ® XeonÃÂ® Gold 5217 Processor 8C/16 3.0 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 1 pcs A6000 (Each GPU card has: 10752 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ A6000) GPU RAM: 48 GB (1x48Gb) GDDR6X CPU: IntelÃÂ® XeonÃÂ® E5-2609v4 1,70 GHz RAM: 64 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Machine learning OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 5 pcs 3090 (Each GPU card has: 10496 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 3090) GPU RAM: 120 GB (5x24Gb) GDDR6X CPU: 2x IntelÃÂ® XeonÃÂ® Gold 5217 Processor 8C/16 3.0 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 4 pcs A100 (Each GPU card has: 80GB RAM) GPU RAM: 320 GB (4x80GB) HBM2 CPU: 2x IntelÃÂ® XeonÃÂ® Gold 6226R Processor 16C/32 3.9 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Machine learning OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 1 pcs 3090Ti (Each GPU card has: 10752 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 3090 Ti) GPU RAM: 24 GB (1x24Gb) GDDR6X CPU: IntelÃÂ® XeonÃÂ® E5-2609v4 1,70 GHz RAM: 64 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 10 pcs A10 (Each GPU card has: 24GB GPU RAM) GPU RAM: 240 GB (10x24GB) GDDR6 CPU: 2x IntelÃÂ® XeonÃÂ® Gold 6226R Processor 16C/32 3.9 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Machine learning, Array processing OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 8 pcs A40 (Each GPU card has: 48GB GPU RAM) GPU RAM: 384GB (8x48GB) GDDR6 CPU: 2x IntelÃÂ® XeonÃÂ® Gold 6226R Processor 16C/32 3.9 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Machine learning, Array processing OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 5 pcs 3090 (Each GPU card has: 10496 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 3090) GPU RAM: 120 GB (5x24Gb) GDDR6X CPU: 2 x IntelÃÂ® XeonÃÂ® Gold 6248R Processor 24C/48, 4.00 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 8 pcs 2080Ti (Each GPU card has: 4352 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 2080 Ti) GPU RAM: 88 GB (8x11Gb) GDDR6 CPU: 2x IntelÃÂ® XeonÃÂ® Scalable Cascade Lake 16C/32T 2.10 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 6 pcs T4 (Each GPU card has: 2560 CUDAÃÂ® cores NVIDIAÃÂ® TeslaÃÂ® T4) GPU RAM: 96 GB (6x16Gb) GDDR6 CPU: 2 x IntelÃÂ® XeonÃÂ® Gold 5217 Processor 8C/16T, 3.0 GHz RAM: 192 GB RAM NVME: 1000 GB NVME Internal network: 10 Gbps Port Best for: - AI Inference - Video Transcoding OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2016 GPU speed: Server Configuration: GPU: 2 pcs P100 (Each GPU card has: 3584 CUDAÃÂ® cores) GPU RAM: 32 GB (2x16Gb) HBM2 CPU: 2 x IntelÃÂ® XeonÃÂ® E5-2609v4 1.7 GHz RAM: 256 GB RAM SSD: 960 GB SSD Internal network: 10 Gbps Port Best for: - Deep Learning - AI Training - AI Inference - HPC OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2016 GPU speed: Server Configuration: GPU: 4 pcs 1080Ti (Each GPU card has: 3584 CUDAÃÂ® cores GeForceÃÂ® GTX1080 Ti) GPU RAM: 44 GB (4x11Gb) GDDR5x CPU: 2 x IntelÃÂ® XeonÃÂ® E5-2609v4 1.7 GHz RAM: 64 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2016 GPU speed: Server Configuration: GPU: 4 pcs 1080Ti (Each GPU card has: 3584 CUDAÃÂ® cores GeForceÃÂ® GTX1080 Ti) GPU RAM: 44 GB (4x11Gb) GDDR5x CPU: 2 x IntelÃÂ® XeonÃÂ® E5-2609v4 1.7 GHz RAM: 128 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2016 GPU speed: Server Configuration: GPU: 2 pcs 2080Ti (Each GPU card has: 4352 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 2080 Ti) GPU RAM: 22 GB (2x11Gb) GDDR6 CPU: IntelÃÂ® XeonÃÂ® E5-2630V4 2.2 GHz RAM: 64 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 4 pcs V100 (Each GPU card has: 5120 CUDAÃÂ® cores) GPU RAM: 128 GB (4x32Gb) HBM2 CPU: 2 x IntelÃÂ® XeonÃÂ® Gold 6138 Processor 3.70 GHz RAM: 384 GB RAM SSD: 3200 GB SSD Internal network: 10 Gbps Port Best for: - Deep Learning - AI Training - AI Inference - HPC OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 GPU speed: Server Configuration: GPU: 2 pcs V100 (Each GPU card has: 5120 CUDAÃÂ® cores) GPU RAM: 32 GB (2x16Gb) HBM2 CPU: 2 x IntelÃÂ® XeonÃÂ® E5-2630v4 2.2 GHz RAM: 128 GB RAM SSD: 960 GB SSD Internal network: 10 Gbps Port Best for: - Deep Learning - AI Training - AI Inference - HPC OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 GPU speed: Server Configuration: GPU: 2 pcs 1080Ti (Each GPU card has: 3584 CUDAÃÂ® cores NVIDIAÃÂ® GTX1080 Ti) GPU RAM: 22 GB (2x11Gb) GDDR5x CPU: IntelÃÂ® XeonÃÂ® E5-2609v4 1.7 GHz RAM: 32 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2016 GPU speed: Server Configuration: GPU: 2 pcs 2080Ti (Each GPU card has: 4352 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 2080 Ti) GPU RAM: 22 GB (2x11Gb) GDDR6 CPU: IntelÃÂ® XeonÃÂ® E5-2630V4 2.2 GHz RAM: 128 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 1 pcs 3090 (Each GPU card has: 10496 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 3090) GPU RAM: 24 GB (1x24Gb) GDDR6X CPU: IntelÃÂ® XeonÃÂ® E5-2609v4 1,70 GHz RAM: 64 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 5 pcs 3090 (Each GPU card has: 10496 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 3090) GPU RAM: 120 GB (5x24Gb) GDDR6X CPU: 2x IntelÃÂ® XeonÃÂ® Gold 6226R Processor 16C/32 3.9 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 Ubuntu 22.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 4 pcs 3090 (Each GPU card has: 10496 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 3090) GPU RAM: 96GB (4x24Gb) GDDR6X CPU: 2 x IntelÃÂ® XeonÃÂ® E5-2630v4 2.2 GHz RAM: 256 GB RAM SSD: 2 x 480 GB SSD: 2 TB SSHD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2016 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 2 pcs 3090 (Each GPU card has: 10496 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ 3090) GPU RAM: 48 GB (2x24Gb) GDDR6X CPU: 2 x IntelÃÂ® XeonÃÂ® Silver 4210, 3,20 GHz RAM: 128 GB RAM SSD: 480 GB SSD Internal network: 10 Gbps Port Best for: - Blockchain processing - Universal GPU card OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019 GPU speed: Server Configuration: GPU: 8 pcs A6000 (Each GPU card has: 10752 CUDAÃÂ® cores NVIDIAÃÂ® RTXÃ¢ÂÂ¢ A6000) GPU RAM: 384 GB (8x48Gb) GDDR6X CPU: 2x IntelÃÂ® XeonÃÂ® Gold 6226R Processor 16C/32 3.9 GHz RAM: 384 GB RAM NVME: 2000 GB NVME Internal network: 10 Gbps Port Best for: - Machine learning, Array processing OS: CentOS 7 Ubuntu 16.04 Ubuntu 18.04 Ubuntu 20.04 WindowsÃÂ® Server 2019

Rent high-end dedicated GPU server at reasonable prices | LeaderGPU