|GPU's Insatalled||2x NVIDIA V100 PCI-E|
|Maximum Number of GPUs||10x|
|CUDA Cores Per GPU||1792|
|Peak Half Precision FP16 Performance Per GPU||112 TFLOPS|
|Peak Single Precision FP32 Performance Per GPU||14 TFLOPS|
|Peak Double Precision FP64 Performance Per GPU||7 TFLOPS|
|GPU Memory Per GPU||16 GB GDDR5|
|Memory Interface Per GPU||4096-bit|
|Memory Bandwidth Per GPU||900 GB/s|
|System Interface||PCI Express 3.0 x16|
|Maximum Power Consumption Per GPU||250 W|
|Description||Intel® Xeon® E5-2628L v4 Processor|
|# of Cores||12|
|# of Threads||24|
|Processor Base Frequency||1.90 GHz|
|Max Turbo Frequency||2.40 GHz|
|Cache||30 MB SmartCache|
|Description||256GB (4x64GB) 2400MHz DDR4 ECC Rgistered|
|Drive 1||1x 480GB 2.5" SSD 6Gb/s|
|Drive 2||2x Seagate Exos 2TB E-Class Nearline Enterprise SAS 2.5" Hard Drive|
|Dimensions||437(W) x 178(H) x 737(D)mm|
|2.5" Hotswap Drive Bays||x24 (x3 Occuipid in base configuration)|
|5.25" Drive Bays||x0|
|Cooling||8 Hot-swap 92mm cooling fans
|Description||2000W Redundant 80 PLUS Titanium Power Supplies with PMBus|
Intel® Xeon® processor E5-2600 v4 / v3 family (up to 160W TDP)
Dual Socket R3 (LGA 2011)
26 DIMM slots (4 Occupied in bcase configuration)
Up to 3TB ECC 3DS LRDIMM,1.5TB ECC RDIMM
11 PCI-E 3.0 x16 (FH, FL) slots
1 PCI-E 3.0 x8 (in x16) slots
Single Root Complex
|Storage||10 SATA3 (6Gbps) ports
Intel® X550 Dual Port 10GBase-T conroller
2 RJ45 10GBase-T ports
1 RJ45 Dedicated IPMI LAN port
|USB Ports||4 USB 3.0 ports|
|Description||Ubuntu 16.04.3 LTS|
NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta, the latest GPU architecture, Tesla V100 offers the performance of 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once impossible.
Tesla V100 is engineered for the convergence of AI and HPC. It offers a platform for HPC systems to excel at both computational science for scientific simulation and data science for finding insights in data. By pairing NVIDIA CUDA® cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU-only servers for both traditional HPC and AI workloads.
A root complex device works within a PCI Express system to connect the PCI Express switch device with the subsystem memory and processor. A root complex can be worked in with the processor, working in its place to materialise transaction requests. Servers with single root complex provide the highest number of GPUs within a single server and enables full connectivity between the GPUs. Large amounts of traditional or high-speed storage can also be built into the server.
The root port has the added requirement of cataloguing the devices on the network when it boots up. It seeks the endpoints, calculates how much address space is required, and allocating the device(s) a space in the selected address of the system. Although it is customary to have a single root complex in a system, there is potential for dual root complexes with many targets.
As shown in the diagram below, the single root complex allows for exceptional performance within the server and across a cluster of InfiniBand-connected systems. Utilizing GPU-Direct RDMA, any GPU in the cluster may directly access the data of any other GPU (remote memory access).
For projects which require many GPUs per system, the DL-TR3 may be configured with ten GPUs on a single PCI-Express root complex. As shown in the diagram below, one additional PCI-Express card may also be added (although this card is not on the same PCI-Express root complex).
All Novatech Deep Learning systems can come with Ubuntu 16.04 server LTS operating system, and the following additional platforms are available: CUDA, DIGITS, Caffe, Caffe2, CNTK, Pytorch, Tensorflow, Theano, and Torch.
If you require a Framework not listed, simply speak to our team and make them aware of your need.
We are ISO 9001:2008 certified and can manage your design, build, and configuration of compute, network, and storage solutions, specific to your needs and applications.
We have invested heavily into our in-house production facilities to ensure that all of our customer’s appropriate compliance, documentation and regulation needs are met
All of our systems are built to order to meet our customers needs, and as such pricing varies depending on requirements.
Contact our dedicated Deep Learning team today for a tailored quotation.