Novatech DL-DV1

Desktop-based system for development work within ML and DL workloads, utilising Intels latest 8th generation of CORE i7 CPU. This system is scalable up to a maximum of 2 GPU's, offering 12-24 teraFLOPS of FP32 (based on Titan spec) compute performance. The system incorporates SSD storage to increase system speed.

Novatech Deep Learning DL-DV1 Workstation
Available within 10 working days

Specification

GPU

Geforce Titan XP 12 TFLOPS FP32

CPU

8th Gen Intel Core i series

STORAGE

OS: Samsung Evo 960 NVME
Data: 480GB SSD
Fully configurable

Memory

16GB 2666Mhz Dual Channel (2x 8GB)

GPU Specification

GPU's Insatalled 1x NVIDIA GTX 1080 Ti
Maximum Number of GPUs 2x
CUDA Cores Per GPU 3584
Peak Half Precision FP16 Performance Per GPU 0.015625 TFLOPS
Peak Single Precision FP32 Performance Per GPU 11.3 TFLOPS
Peak Double Precision FP64 Performance Per GPU 0.03125 TFLOPS
GPU Memory Per GPU 12 GB GDDR5
Memory Interface Per GPU 352-bit
Memory Bandwidth Per GPU 484.4 GB/s
System Interface PCI Express 3.0 x16
Maximum Power Consumption Per GPU 250 W

CPU

Description Intel 8th Generation Intel® Core™ i7 8700
# of Cores 6
# of Threads 12
Processor Base Frequency 3.20 GHz
Max Turbo Frequency 4.60 GHz
Cache 12 MB
Bus Speed 8 GT/s DMI3
TDP 65 W

Memory

Description 16GB (2x8GB) 2400Mhz DDR4

Storage

Drive 1 1x Samsung EVO 960 250GB NVME Drive
Drive 2 1x 480GB 2.5" SATA SSD

Case

Description Novatech Extreme Middle Tower Case
Colour Black
Dimensions 200(W) x 455(H) x 510(D)mm
3.5" Drive Bays x9 3.5" / 2.5" combo, x1 occupied in default specification
5.25" Drive Bays x2
Front Panel Power Button Reset Button
Top Panel Connections x2 USB 3.0 HD Audio
Cooling Front 14CM PWM Fans x2 (Pre-installed); (rear 12cm PWM Fan: x1 (Pre-intalled)

Power Supply

Description Novatech PowerStation 750W Gaming PSU (Non Modular)

Motherboard

Chipset Intel® Z370 Express Chipset
Expansion Slots 1 x PCI Express x16 slot, running at x16 (PCIEX16) (Occupied in default specification)
* For optimum performance, if only one PCI Express graphics card is to be installed, be sure to install it in the PCIEX16 slot.
1 x PCI Express x16 slot, running at x8 (PCIEX8)
* The PCIEX8 slot shares bandwidth with the PCIEX16 slot. When the PCIEX8 slot is populated, the PCIEX16 slot operates at up to x8 mode.
1 x PCI Express x16 slot, running at x4 (PCIEX4)
* The PCIEX4 slot shares bandwidth with the PCIEX1_2 and PCIEX1_3 slots. When the PCIEX1_2 or PCIEX1_3 slot is populated, the PCIEX4 slot will operate at up to x1 mode.
3 x PCI Express x1 slots
(All of the PCI Express slots conform to PCI Express 3.0 standard.)
Back Panel Connectors 1 x PS/2 keyboard/mouse port
1 x DVI-D port
1 x HDMI port
1 x USB Type-C™ port, with USB 3.1 Gen 2 support
1 x USB 3.1 Gen 2 Type-A port (red)
4 x USB 3.1 Gen 1 ports
2 x USB 2.0/1.1 ports
1 x RJ-45 port
1 x optical S/PDIF Out connector
5 x audio jacks (Center/Subwoofer Speaker Out, Rear Speaker Out, Line In, Line Out, Mic In)

Operating System

Description Ubuntu 16.04.3 LTS
GPU's Insatalled 2x NVIDIA Titan XP
Maximum Number of GPUs 4x
CUDA Cores Per GPU 3840
Peak Half Precision FP16 Performance Per GPU 0.015625 TFLOPS
Peak Single Precision FP32 Performance Per GPU 12.1 TFLOPS
Peak Double Precision FP64 Performance Per GPU 0.03125 TFLOPS
GPU Memory Per GPU 12 GB GDDR5X
Memory Interface Per GPU 382-bit
Memory Bandwidth Per GPU 547.7 GB/s
System Interface PCI Express 3.0 x16
Maximum Power Consumption Per GPU 250 W

NVIDIA TITAN Xp

TITAN Xp is purpose-built to deliver up to 3X the performance of previous-generation graphics cards, enabling amazing new possibilities for creatives, researchers, and PC enthusiasts.

NVIDIA have packed the most raw horsepower we possibly could into this GPU. It’s driven by 3840 NVIDIA® CUDA® cores running at 1.6 GHz and packs 12 TFLOPS of brute force. Plus it’s armed with 12 GB of GDDR5X memory running at over 11 Gbps.

Ready to go

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.

Custom Engineering

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

Request a price

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.

Thank you, a member of the team will be in contact as soon as possible.

Sorry, there has been an error. Please contact [email protected] or call us on 023 9232 2500