- Acceleration for high-performance computing, AI and ML at the best performance/price ratio.
- Featuring NVIDIA Tesla T4 graphics processing unit.
- Powered by Turing Tensor Cores and CUDA Technology.
- Designed for massively parallel processing.
Cloud and Bare-metal GPU servers
GPU cloud servers and GPU bare-metal servers for data processing acceleration. GPU dedicated servers can be memory or CPU optimized, depending on your project’s needs.
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Memory optimized
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384 GiB RAM
@2400 Mhz -
2x 1 TB SSD
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NVRAM RAID
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NVIDIA Tesla T4 GPU 16 GB
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NVMe Support Up to 8 additional SATA/SAS/NVMe U2 disks.
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40 Gbps network Redundant MLAG: 20 Gbps storage and 20 Gbps private interconnection and Internet access.
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Setup fee: €945*
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Memory optimized
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768 GiB RAM
@2933 Mhz -
2x 1,6 TB SSD
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NVRAM RAID
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NVIDIA Tesla T4 GPU 16 GB
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NVMe Support Up to 8 additional SATA/SAS/NVMe U2 disks.
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40 Gbps network Redundant MLAG: 20 Gbps storage and 20 Gbps private interconnection and Internet access.
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Setup fee: €1.545*
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CPU optimized
-
768 GiB RAM
@2933 Mhz -
2x 1,6 TB SSD
-
NVRAM RAID
-
NVIDIA Tesla T4 GPU 16 GB
-
NVMe Support Up to 8 additional SATA/SAS/NVMe U2 disks.
-
40 Gbps network Redundant MLAG: 20 Gbps storage and 20 Gbps private interconnection and Internet access.
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Setup fee: €1.800*
Stackscale’s GPU dedicated servers feature NVIDIA Tesla T4 GPU 16 GB and are powered by 2nd generation Intel® Xeon® Scalable Processors. All GPU dedicated servers are hosted in data centers in Europe.
NVIDIA Tesla T4 GPU specifications
NVIDIA T4 GPU is based on the NVIDIA Turing architecture and packaged in an energy-efficient 70 W, small PCIe form factor. It features multi-precision Turing Tensor Cores and RT Cores, and delivers next-level acceleration and revolutionary performance at scale. Besides, this GPU model implements NVIDIA’s CUDA technology, a parallel computing architecture that significantly increases GPU computing performance.
NVIDIA Tesla T4 GPU accelerates diverse cloud workloads, such as:
- High-performance computing (HPC).
- Deep learning training and inference.
- Machine Learning (ML) and Artificial Intelligence (AI).
- Data analytics.
- Video transcoding.
Moreover, the T4 GPU is compatible with VMWare ESXi, Citrix Xenserver, KVM, Linux and Windows.
Specifications | |
---|---|
Power | 70 watts |
Interconnection | 3GEN x16 PCIe |
Performance | |
Turing Tensor Cores | 320 |
NVIDIA CUDA Cores | 2,560 |
Single precision performance (FP32) | 8.1 TFLOPS |
Mixed precision (FP16/FP32) | 65 FP16 TFLOPS |
INT8 precision | 130 INT8 TOPS |
INT4 precision | 260 INT4 TOPS |
Memory | |
Capacity | 16 GB GDDR6 |
Bandwidth | 320+ GBps |