Lambda Dual

Deep Learning Workstation with 2 GPUs

GPU workstation with two RTX 2080 Ti, Titan RTX, RTX 5000, RTX 6000, or RTX 8000 GPUs. Pre-installed with Ubuntu, TensorFlow, PyTorch, Keras, CUDA, and cuDNN, so you can boot up and start training immediately.

Lambda Dual, a Deep Learning Workstation with 2x GPUs

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.

Apple is a customer MIT is a customer Los Alamos National Lab is a customer Carnegie Mellon University is a customer Google is a customer Wells Fargo is a customer Anthem is a customer

Top Configurations

Optimized configurations that won't bottleneck

Our top configuration are benchmarked and tuned to eliminate CPU, memory, and storage bottlenecks when running deep learning workloads.

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

2x RTX 2080 Ti

2-Way NVLink
Intel i9-9820X CPU (10 Cores)
64 GB Memory
2 TB NVMe (3,500 MB/s Read)
$ 5,902
Customize
PremiumIn Stock
Lambda Dual Premium, a GPU Workstation with 2x Titan RTX

2x Titan RTX

2-Way NVLink
Intel i9-9820X CPU (10 Cores)
128 GB Memory
2 TB NVMe (3,500 MB/s Read)
$ 9,646
Customize
MaxIn Stock
Lambda Dual Max, a GPU Workstation with 2x Quadro RTX 8000

2x Quadro RTX 8000

2-Way NVLink
Intel i9-9980XE CPU (18 Cores)
128 GB Memory
2 TB NVMe (3,500 MB/s Read)
$ 16,672
Customize
CustomIn Stock

+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.

Zero setup, easy updates

Lambda Stack comes free with your computer. Machine Learning libraries work out-of-the box and can be updated automatically.

Ubuntu 18.04 comes pre-installed
TensorFlow comes pre-installed
PyTorch comes pre-installed
Keras comes pre-installed

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.
Are financing options available?
Yes, we offer financing through our partner, Partners Capital Group. For details, contact us by email at enterprise@lambdalabs.com or by phone at +1 (866) 711-2025.
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Explore Lambda's Research

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).

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