Dual GPU workstation for deep learning

RTX 2080 Ti, Titan RTX, Quadro RTX 8000, RTX 6000, and RTX 8000 GPU options. Pre-installed with Ubuntu, TensorFlow, PyTorch, Keras, CUDA, and cuDNN.

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1000+ research groups trust Lambda

Easy system administration

Every computer comes with Lambda Stack, which includes frameworks like TensorFlow, PyTorch, and Keras. If a new version of any software is released, Lambda Stack makes upgrading easy.

Ubuntu 20.04
Keras
TensorFlow
PyTorch
Caffe
Theano
NVIDIA CUDA
NVIDIA cuDNN

Bestsellers

Our most popular options

Our bestsellers are designed to avoid CPU, memory, and storage bottlenecks for deep learning workloads.

Basic
Lambda Dual Basic, a GPU Workstation with 2x RTX 2080 Ti

2x RTX 2080 Ti

2-Way NVLink
Intel i9-10900X CPU (10 Cores)
64 GB Memory
2 TB NVMe SSD
$ 6,193
Customize
Premium
Lambda Dual Premium, a GPU Workstation with 2x Titan RTX

2x Titan RTX

2-Way NVLink
Intel i9-10920X CPU (12 Cores)
128 GB Memory
2 TB NVMe SSD
$ 10,804
Customize
Max
Lambda Dual Max, a GPU Workstation with 2x Quadro RTX 8000

2x Quadro RTX 8000

2-Way NVLink
Intel i9-10980XE CPU (18 Cores)
128 GB Memory
2 TB NVMe SSD
$ 18,816
Customize
Custom

+1 (866) 711-2025
Live Chat

Not seeing what you're looking for?

GPUs, processors, storage, networking, and memory are fully customizable. Get in touch and we'll design a system that matches your specifications.

Technical specifications

GPU
2x NVIDIA GPUs
Choose from RTX 2080 Ti, Titan RTX, Quadro RTX 8000, and RTX 6000
Processor
Intel Core i9 Processor
Configurable up to 18 cores, 36 threads, and 24.75 MB cache
Memory
Up to 256 GB
Fits up to eight 32 GB DIMMs at 3200 MHz
OS drive
Up to 2 TB
3,200 MB/s seq. read and 2,000 MB/s seq. write
Extra storage
Up to 61 TB
Fits up to eight 7.68 TB SATA SSDs.
Networking
Up to 10 GbE
Choose between 2x 1 Gbps ethernet ports and 2x 10 Gbps ethernet ports
USB ports
When configured with 1 GbE:
6x USB 3.1 Gen 1
1x USB 3.1 Gen 2 Type A
1x USB 3.1 Gen 2 Type C
4x USB 2.0
When configured with 10 GbE:
4x USB 3.1 Gen 1
1x USB 3.1 Gen 2 Type A
1x USB 3.1 Gen 2 Type C
Audio ports
Front: 3.5mm headphone jack + 3.5mm microphone jack
Rear: 8 channel audio + 3.5mm microphone jack
Power supply
1300 watts
of maximum continuous power at voltages between 100 and 240V
Size & weight
Width: 13.1" (332 mm)
Height: 16.3" (415 mm)
Depth: 18.4" (458 mm)
Weight: 38 pounds (17.2 kg)

Frequently asked questions

Not seeing the answer to your question? Contact sales

What if I want a specific GPU, CPU, storage setup, networking config, [...] that's not available on the website?
We offer many options for GPUs, CPUs, storage, and networking that aren't available on the website. If you don't see the option you want, contact our sales team by email at enterprise@lambdalabs.com or by phone at +1 (866) 711-2025. Please note that customized machines are subject to our Custom Orders Return Policy.
What if my workstation develops a hardware issue?
Lambda offers perpetual support from our engineers and up to 3 years of warranty. If you experience issues with your Lambda Dual, our engineers are available by email at support@lambdalabs.com and by phone at +1 (855) 882-6011. We will immediately replace any faulty components (e.g. GPU, CPU, power supply), which you may return at your convenience. If your Lambda Dual is still under warranty, all replacements will be free of charge. Solutions to technical issues may also be found within our community, Deep Talk.
Do you offer discounts to academics, students, non-profits, public agencies, or start-ups?
Yes, discounts are available. Your discount will depend on industry, project size, and instituation. For more details, please contact us by email at enterprise@lambdalabs.com or by phone at +1 (866) 711-2025.
When will my purchase be delivered?
The Lambda Dual typically ships within 1-3 business days of purchase. Highly customized orders may have a longer lead times. For the most accurate delivery estimates, please contact our sales team.
Does Lambda offer shipping to countries outside the United States?
Yes, Lambda ships globally. Please note if you're outside the United States, your order may be subject to duties and tariffs. For more information, please contact our sales team.
What operating systems are available for the Lambda Dual?
The Lambda Dual typically ships with either Ubuntu 18.04 or Windows 10 Pro. Other operating systems are available upon request. Please contact us for details.
Can I dual boot Windows and Linux?
Yes, we can dual boot your machine. Please contact us for details.
How loud is the Lambda Dual?
The Lambda Dual runs approximately 10 decibels above ambient noise. It is designed to be used at your desk. You can use it at home, at your office, in your lab, or access it remotely. For lowest noise levels, install the machine on a stable surface that doesn't vibrate. The machine exhausts heat via airflow from it's rear, right, and top panels. To ensure proper cooling and low fan noise, keep the machine at least 18 inches from any wall and avoid placing objects near the machine that may obstruct this airflow.
Are discounts available to academics, students, non-profits, public agencies, or start-ups?
Yes, we do. Your discount will depend on industry, project size, and instituation. For more details, please contact us by email at enterprise@lambdalabs.com or by phone at +1 (866) 711-2025.
What payment methods are accepted?
We accept wire transfers, ACH transfers, and credit cards. Please note that credit card transactions are subject to an additional 3% charge.
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Explore our research

Lambda's research papers have been accepted into the top machine learning and graphics conferences, including ICCV, SIGGRAPH Asia, NeurIPS, and ACM Transactions on Graphics (TOG).

HoloGAN: Unsupervised Learning of 3D Representations from Natural Images
We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Learn More
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. Learn More
Adversarial Monte Carlo Denoising with Conditioned Aux. Feature Modulation
Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Learn More