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All-In-One & Ready to Use
CompecTA Nova Engine™ is an all-in-one, powerful, energy-efficient, cool and quiet deskside solution for Deep Learning needs. It's an alternative to NVIDIA® DIGITS™ DevBox.
Built with the world’s best hardware, software, and systems engineering for deep learning in a powerful solution that can fit under your desk.
It comes with Deep Learning Neural Network library, Deep Learning Frameworks, Operating System and Drivers pre-installed and ready to use.
Enterprise Level Support
CompecTA Nova Engine™ comes with an Enterprise Level Support package from HPC experts with over 20 years of experience in the field.
We will assist you with any problem you may encounter with your system.
Free CPU Time
CompecTA Nova Engine™ comes with 100 thousands hours of CPU Time on CompecTA's in-house HPC Cluster service called FeynmanGrid™.
Use this opportunity to gain experience on using HPC Clusters or performance test any application or to test some new code/application.
CompecTA Nova™ Series
Deep Learning Developer Box with NVIDIA DIGITS™
Nova Engine™ G80
35.6 TFLOPS of FP32 Performance
Best suited for:
Deep Learning Development
Good Neural Network Training
Good Inferencing
$9,860 (Excluding Taxes)
CNVDDB1-G80V1
- Dell 43" P4317Q UltraHD 4K IPS Monitor
- Logitech Keyboard and Mouse
- ASUS X99-E WS workstation motherboard
- Intel Core i7-6850K, 3.60 GHz, 6 Core
- 64 GB DDR4 2400MHz Memory
- 4 x NVIDIA GeForce GTX 1080 8GB GDDR5X Memory per GPU
- 10,240 Total CUDA® Cores
- 3 x 3TB SATA 6Gb 3.5” Enterprise Hard Drive in RAID5
- 512GB PCI-E M.2 SSD cache for RAID
- 250GB SATA 6Gb Internal SSD for OS
- 1600W Power Supply
- Ubuntu 14.04 / 16.04
- NVIDIA-qualified driver
- NVIDIA® DIGITS™
- NVIDIA® CUDA® Toolkit
- NVIDIA® cuDNN™
- Caffe, Theano, Torch, BIDMach
- 100k CPU Time on FeynmanGrid™
- Enterprise Level Support from CompecTA® HPC Professional Services
Nova Engine™ G80Ti NEW
45.2 TFLOPS of FP32 Performance
180 TOPS of INT8 Performance
Best suited for:
Deep Learning Development
Good Neural Network Training
Super-fast Inferencing
$11,995 (Excluding Taxes)
CNVDDB1-G80V2
- Dell 43" P4317Q UltraHD 4K IPS Monitor
- Logitech Keyboard and Mouse
- ASUS X99-E WS workstation motherboard
- Intel Core i7-6850K, 3.60 GHz, 6 Core
- 64 GB DDR4 2400MHz Memory
- 4 x NVIDIA GeForce GTX 1080Ti 11GB GDDR5X Memory per GPU
- 14,336 Total CUDA® Cores
- 3 x 3TB SATA 6Gb 3.5” Enterprise Hard Drive in RAID5
- 512GB PCI-E M.2 SSD cache for RAID
- 250GB SATA 6Gb Internal SSD for OS
- 1600W Power Supply
- Ubuntu 14.04 / 16.04
- NVIDIA-qualified driver
- NVIDIA® DIGITS™
- NVIDIA® CUDA® Toolkit
- NVIDIA® cuDNN™
- Caffe, Theano, Torch, BIDMach
- 100k CPU Time on FeynmanGrid™
- Enterprise Level Support from CompecTA® HPC Professional Services
Nova Engine™ TiXp
47 TFLOPS of FP32 Performance
188 TOPS of INT8 Performance
Best suited for:
Deep Learning Development
Good Neural Network Training
Super-fast Inferencing
$14,495 (Excluding Taxes)
CNVDDB1-TXPV2
- Dell 43" P4317Q UltraHD 4K IPS Monitor
- Logitech Keyboard and Mouse
- ASUS X99-E WS workstation motherboard
- Intel Core i7-6850K, 3.60 GHz, 6 Core
- 64 GB DDR4 2400MHz Memory
- 4 x NVIDIA TITAN Xp Pascal 12GB GDDR5X Memory per GPU
- 15,360 Total CUDA® Cores
- 3 x 3TB SATA 6Gb 3.5” Enterprise Hard Drive in RAID5
- 512GB PCI-E M.2 SSD cache for RAID
- 250GB SATA 6Gb Internal SSD for OS
- 1600W Power Supply
- Ubuntu 14.04 / 16.04
- NVIDIA-qualified driver
- NVIDIA® DIGITS™
- NVIDIA® CUDA® Toolkit
- NVIDIA® cuDNN™
- Caffe, Theano, Torch, BIDMach
- 100k CPU Time on FeynmanGrid™
- Enterprise Level Support from CompecTA® HPC Professional Services
Nova Engine™ GP100
82.8 TFLOPS of FP16 Performance
41.2 TFLOPS of FP32 Performance
Best suited for:
Deep Learning Development
Super-fast Neural Network Training
Good Inferencing
$40,890 (Excluding Taxes)
CNVDDB1-GP100V1
- Dell 43" P4317Q UltraHD 4K IPS Monitor
- Logitech Keyboard and Mouse
- ASUS X99-E WS workstation motherboard
- Intel Core i7-6850K, 3.60 GHz, 6 Core
- 64 GB DDR4 2400MHz Memory
- 4 x NVIDIA QUADRO GP100 16GB HBM2 Memory per GPU
- 14,336 Total CUDA® Cores
- 3 x 3TB SATA 6Gb 3.5” Enterprise Hard Drive in RAID5
- 512GB PCI-E M.2 SSD cache for RAID
- 250GB SATA 6Gb Internal SSD for OS
- 1600W Power Supply
- Ubuntu 14.04 / 16.04
- NVIDIA-qualified driver
- NVIDIA® DIGITS™
- NVIDIA® CUDA® Toolkit
- NVIDIA® cuDNN™
- Caffe, Theano, Torch, BIDMach
- 100k CPU Time on FeynmanGrid™
- Enterprise Level Support from CompecTA® HPC Professional Services
Nova Engine™ QP5 NEW
35.6 TFLOPS of FP32 Performance
Best suited for:
Deep Learning Development
Super-fast Neural Network Training
Good Inferencing
REQUEST A QUOTE
CNVDDB1-QP5v1
- Dell 43" P4317Q UltraHD 4K IPS Monitor
- Logitech Keyboard and Mouse
- ASUS X99-E WS workstation motherboard
- Intel Core i7-6850K, 3.60 GHz, 6 Core
- 64 GB DDR4 2400MHz Memory
- 4 x NVIDIA QUADRO P5000 16GB GDDR5X Memory per GPU
- 10,240 Total CUDA® Cores
- 3 x 3TB SATA 6Gb 3.5” Enterprise Hard Drive in RAID5
- 512GB PCI-E M.2 SSD cache for RAID
- 250GB SATA 6Gb Internal SSD for OS
- 1600W Power Supply
- Ubuntu 14.04 / 16.04
- NVIDIA-qualified driver
- NVIDIA® DIGITS™
- NVIDIA® CUDA® Toolkit
- NVIDIA® cuDNN™
- Caffe, Theano, Torch, BIDMach
- 100k CPU Time on FeynmanGrid™
- Enterprise Level Support from CompecTA® HPC Professional Services
Nova Engine™ QP6 NEW
48 TFLOPS of FP32 Performance
Best suited for:
Deep Learning Development
Super-fast Neural Network Training
Good Inferencing
REQUEST A QUOTE
CNVDDB1-QP6v1
- Dell 43" P4317Q UltraHD 4K IPS Monitor
- Logitech Keyboard and Mouse
- ASUS X99-E WS workstation motherboard
- Intel Core i7-6850K, 3.60 GHz, 6 Core
- 64 GB DDR4 2400MHz Memory
- 4 x NVIDIA QUADRO P6000 24GB GDDR5X Memory per GPU
- 15,360 Total CUDA® Cores
- 3 x 3TB SATA 6Gb 3.5” Enterprise Hard Drive in RAID5
- 512GB PCI-E M.2 SSD cache for RAID
- 250GB SATA 6Gb Internal SSD for OS
- 1600W Power Supply
- Ubuntu 14.04 / 16.04
- NVIDIA-qualified driver
- NVIDIA® DIGITS™
- NVIDIA® CUDA® Toolkit
- NVIDIA® cuDNN™
- Caffe, Theano, Torch, BIDMach
- 100k CPU Time on FeynmanGrid™
- Enterprise Level Support from CompecTA® HPC Professional Services
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