Compare with other hourly GPU cloud platforms — TensorDock is consistently the
most
affordable:
Platform
vCPUs
RAM
GPU Count
GPU Type
Competitor Price
Our Price
Savings
AWS
8
61
1x
V100
$3.06/hr
$0.346/hr
89%
Azure
6
112
1x
V100
$3.06/hr
$0.442/hr
86%
Oracle
6
90
1x
V100
$2.95/hr
$0.398/hr
87%
Paperspace
16
30
1x
V100
$2.30/hr
$0.308/hr
87%
CoreWeave
16
128
1x
V100
$1.60/hour
$0.505
68%
Note: Please conduct your own comparisons for your own
use
case with your own preferred GPU type. This V100 pricing
comparison is just one example of many of how TensorDock
completely obliterates others when it comes to pricing.
See your servers from the familiar TensorDock Console.
View server networking details, rename, and request a
cancellation
at the end of the term through our the
custom dashboard that we've built fully in-house.
Reliable, Enterprise-Grade
Servers
TensorDock servers are built with the highest quality
components and are deployed in enterprise-grade data centers.
Our servers are built to last.
They're colocated in data centers with redundant power, cooling.
Just look for the "Data Center" badge when deploying a server.
Jupyter Notebook made easy
Deploy our machine learning image and get Jupyter Notebook/Lab
out
of the box.
A GPU cloud that is built for companies like
yours.
Once you switch, you'll never look back.
Industry-leading pricing
We're the market's most affordable GPU cloud. Find a better
deal and we'll match it.
Instantly Scale
Deploy VMs in seconds. Scale up and down as needed.
Free transfer / bandwidth
Eliminate your #1 cost at other clouds.
Just contact
us if you anticipate needing 100TB+ of monthly
traffic.
50+ Locations
We source our servers from dozens of data centers around the
world, allowing you to serve low-latency apps to your
customers.
Secure & Reliable
We partner with leading suppliers with proven uptime and
security
measures
airgpu uses
TensorDock's API to deploy
Windows virtual machines for cloud gamers.
TensorDock's abundant GPU stock enables
airgpu
to scale during weekend peaks without
worrying about compute availability.
ELBO uses TensorDock's
reliable and secure
GPU cloud to create generate art.
TensorDock's highly-performant servers run
their
workloads faster on the same GPU types than
the big clouds.
Researcher Skyler Liang from Florida State
University uses TensorDock's A40s and
A6000s to work with GAN networks.
TensorDock's low pricing enables FSU
researchers to do more with their limited
university
compute budgets.
Creavite uses
TensorDock's Windows GPU
servers with Adobe software to render logo
animations as well as CPU-only servers.
The presence of both types of servers
enables Creavite to tightly integrate their
workflows.
We democratize access to
expensive HPC hardware.
Our goal is enable you — whether you are a sole developer,
funded
startup, or enterprise — to compute
groundbreaking innovations easier at industry-leading
prices. Read more.
Industry-leading security and reliability practices; tier 3/4
data
centers; US-based, background checked support. Read more.
10+ API
Endpoints
1,000+ GPUs
In Stock
65,000+ GPUs
Reservable
Frequenty Asked Questions
?
What makes TensorDock different?
We source our servers from a variety of providers. Because
we
aggregate supply, suppliers are incentivized to
offer the best prices. We pass these savings on to you.
?
Free Trial
Try us out for free! If you deposit $5 and run into any
technical issues preventing you from using our service,
we'll refund the full $5. KYC required to prevent abuse.
?
Where are TensorDock servers located?
TensorDock sources GPUs from a variety of suppliers around
the
world, including
top
tier data centers with redundant power, cooling, and
networking. Just look for the "Data Center" badge when
deploying.
?
What is the virtualization?
We use KVM QEMU virtualization. This means that you can run
either Windows or Linux workloads. This ensures privacy and
security. Read more.
