Deep Learning Server with up to 10 GPUs
Up to 10 GPUs. Fully Customizable. Ubuntu, TensorFlow, PyTorch, Keras, CUDA, and cuDNN pre-installed.
Custom Lambda Blade
Operating System: Ubuntu 18.04 + Lambda Stack
Software: TensorFlow, PyTorch, Caffe, Keras, CUDA, cuDNN
Processor: 2x Intel Xeon Gold 6230 (20 Cores, 2.10 GHz)
GPUs: 8x RTX 8000 + NVLink
Memory: 768 GB
Operating System Drive: 3.84 TB NVMe
Extra Storage: 4 TB SSD
Warranty & Support: Three years of hardware coverage, plus technical support from a Lambda engineer
$64,790.00
Premium Lambda Blade
8x RTX 6000
2x Xeon Gold 5218 (16 Cores)
8x RTX 6000 GPUs
512 GB of Memory
1.92 TB NVMe SSD
4 TB SATA SSD
Starting at
$ 41,458.00
Max Lambda Blade
8x RTX 8000
2x Xeon Gold 5218 (16 Cores)
8x RTX 8000 GPUs
768 GB of Memory
3.84 TB NVMe SSD
4 TB SATA SSD
Starting at
$ 59,753.00
Trusted by thousands of customers worldwide
Researchers and engineers at universities, start-ups, Fortune 500s, public agencies, and national labs use Lambda to power their artificial intelligence workloads.
Trusted by thousands of customers worldwide
Researchers and engineers at universities, start-ups, Fortune 500s, public agencies, and national labs use Lambda to power their artificial intelligence workloads.
Deep Learning Workstation with 4 GPUs
GPU workstation with RTX 2080 Ti, RTX 6000, RTX 8000, or Titan V. Ubuntu, TensorFlow, PyTorch, Keras, CUDA, and cuDNN pre-installed. Trusted by Top A.I. Research Groups
Our research papers have been accepted into the top machine learning and graphics conferences, including ICCV, SIGGRAPH Asia, NeurIPS, and ACM Transactions on Graphics (TOG).
4x RTX 2080 Ti
In Stock (Ships in 2-3 Days)
Intel i9-9820X CPU (10 Cores)
RTX 2080 Ti (11 GB VRAM)
64 GB Memory
2 TB NVMe (3,500 MB/s Read)
Starting at
$ 9,139
Premium Workstation
4x Quadro RTX 6000
In Stock (Ships in 2-3 Days)
Intel i9-9920X CPU (12 Cores)
RTX 6000 (24 GB VRAM)
128 GB Memory
2 TB NVMe (3,500 MB/s Read)
Starting at
$ 21,563
Max Workstation
4x Quadro RTX 8000
In Stock (Ships in 2-3 Days)
Intel W-2195 CPU (18 Cores)
RTX 8000 (48 GB VRAM)
256 GB Memory
2 TB NVMe (3,500 MB/s Read)
Starting at
$ 33,579
RenderNet: A Deep Conv. Network for Differentiable Rendering from 3D Shapes
Traditional computer graphics rendering pipelines are designed for procedurally generating 2D images from 3D shapes with high performance.
Computer Science > Computer Vision and Pattern Recognition
HoloGAN: Unsupervised learning of 3D representations from natural images
Comments: | International Conference on Computer Vision ICCV 2019. For project page, see this https URL |
Subjects: | Computer Vision and Pattern Recognition (cs.CV) |
Cite as: | arXiv:1904.01326 [cs.CV] |
(or arXiv:1904.01326v2 [cs.CV] for this version) |
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Submission history
From: Thu Nguyen-Phuoc [view email][v1] Tue, 2 Apr 2019 10:36:01 UTC (4,497 KB)
[v2] Tue, 1 Oct 2019 10:41:28 UTC (3,832 KB)