Paperspace reviews

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Paperspace - Research and Compare

vSphere is virtualization and virtual machine software from VMware that serves as a control center for cloud computing and virtualization platforms. Specifically, vSphere is used to control all aspects of VMware ESX/ESXi functionality. From replication to backup and from workstation assignment to data protection, vSphere makes it easy for IT managers and administrators to manage their virtual networks. As more companies shift away from the client/server model of enterprise computing, many of them find that they are not able to move all of their digital assets to public cloud environments. To this effect, many companies are adopting the hybrid cloud approach, and this is often prompted by specific business and compliance requirements. Thanks to advances in server virtualization software, hybrid clouds and virtual networking can now be managed by companies with small IT departments. When companies upgrade from client/server or public cloud infrastructures to hybrid clouds, they are likely to choose VMware for this purpose. VMware is not the only virtualization platform, but its popularity and standing in the networking market have made it a standard for enterprise network operations management. vSphere is a browser-based application that has switched from Flash to HTML. vSphere can be used for setting private or public clouds, to manage small networks or Big Data infrastructures, and it also allows network managers to create containers when they need to isolate workstations or server operations. Pricing for vSphere with operations management modules was per CPU. Very large enterprises that need to run dedicated data centers can expect to pay rather elevated fees per license, particularly if they run multiple data centers and server farms. Examples of such large enterprises include international banks, online gaming companies and web hosting providers.
Thanks to the significant advances in broadband, hardware and networking technologies, virtualization options have grown beyond emulating workstations and games. With software solutions such as OpenVZ, multiple virtual private server (VPS) instances can be deployed in a single machine for the purpose of maximizing available resources. OpenVZ is the open source version of a software technology that was initially developed to enable virtualization at the operating system level, thereby allowing a server to run containers—a technique originally pioneered with Solaris systems. Several web hosting companies that offer Linux systems run OpenVZ for their internal operations, although they may also extend this functionality to their clients, particularly those who need to run separate VPS instances. Some OpenVZ applications may include:
  • A provider of virtual office space may offer VPS to clients.
  • A company that runs two or more websites may choose to host them within containers.
  • An IT manager or system administrator may want to separate resources; for example, a file server in one container runs independently from the print server operating in another container.
Essentially, OpenVZ installs itself as a Linux distribution that turns the server into a host. Once the app is running, each container instance runs as a guest. The default template is an enterprise Red Hat distribution, and virtual machines can be created within each VPS container. In other words, a server can be multiplied with just a few clicks or command line instructions. Since OpenVZ containers are isolated, software applications can run smoothly within each VPS instance. Just about anything that can run on Linux, including virtual private networking connections, will work in an OpenVZ instance. Setting up VPN sessions requires enabling a network tunnel option within each container to emulate an Ethernet device. OpenVZ is free to download, install and operate. It is an excellent option for companies looking for affordable server virtualization. This solution only runs on Linux and can only be used to run Linux containers. Furthermore, the choice of operating systems is limited to templates based on Debian, CentOS, Fedora, and Gentoo.
KVM (kernel-based virtual machine) emulates the kernel alone, along with any sequential hardware added, and any system that can operate on this parallel, virtualized kernel. This strategy is in some ways the simplest implementation of virtualization, in that it doesn’t specialize in emulating a defined, existing system or hardware profile. The uses include hardware design prototyping, and the creation of proprietary dedicated systems to replace off-the-shelf systems running in distributed platforms Virtualization is an increasingly crucial tool in the computing world, for a whole host of reasons. One of the biggest applications for this sort of software is to have concurrent managed computing entities distributed across failsafe cloud computing. Of course, this sort of technology is also used as a way to achieve legacy compatibility with old systems, or as a brute force way to achieve platform agnosticism with OSNative module designs as well. A Linux KVM can do some amazing things, if you know how to build on the foundations presented. Let’s take a look at this technology, what it can do, and what people have to say about it. Don’t dismiss this as something “only for engineers or developers” as this has vast untapped potential for any business looking to tap virtualization and cloud computing beyond the limits of pre-designed system distributions.


  • KVM Hypervisor – Essentially run multiple virtualized systems on the same profile in parallel, meaning that multiple distributed module instances can themselves be a multitude of parallel process chains. Low level kernel emulation makes this practical even for on-premise server farm designs. Several systems have proven to be workable on a high-end workstation—that’s how efficient this is.
  • Hot-Plugging and On-The-Fly Hardware – Add hardware on the fly, including KSM merging, CPU and PCI hotplugging, virtualized USB, CDROM, Floppy and device pass through. Build virtual PCs or smart devices without even rebooting the operating system, while also taking advantage of userspace pit emulation, irqchip emulation, balloon memory drivers and CPU clustering.
  • Flexible Boot – Easily set up boot from icsi, pxe or traditional media—be it physical, emulated or mixed. This virtual machine can be anything you want on the fly, without any disruption.
  • KVM Over IP – Take advantage of virtualized networks to merge multiple, multi-module KVMs together without using the host hardware’s caching or page memory as an intermediary, or connect it with no issue to actual present networking infrastructure—or just do both. It works just fine.
  • Support Branded Software – Still run high-end pre-built operating systems and easily make KVM switch between these systems in real-time, and even share paging and work flows.


Linux KVM is an open-source project which anyone can contribute to, the source code of which anyone may access. This means there is no price to consider when acquiring this software. However, there are downsides to open source, as they have no standardized corporate support and it often takes a lot of work to get it running the way you want. It also means that it can be harder to learn because, while open-source designs are often highly-documented, the documentation is seldom done by paid professionals who specialize in creating comprehensive, easy-to-digest literature. But, it’s free if you don’t count the various angles of effort such a thing tends to need.
vSpace Pro is virtualization and virtual machine software developed by NComputing, a very respected name in the virtualization field. In essence, vSpace Pro is a software application that turns a server into a management console for virtual machines that can be accessed by very thin clients, and this is what sets the NComputing virtualization strategy apart: once vSpace Pro is installed and running, users can access virtual workstations with just a keyboard, mouse and monitor connected to a special device or to a Windows PC. One of the issues faced by companies that are new to virtualization is related to selecting suitable clients or hardware terminals. Accessing cloud applications that operate on a Software-as-a-Service (SaaS) basis is fairly simple. In many cases, this can accomplished with just about any internet-connected device that can run a modern browser. However, things change when there is a need to implement virtualized desktop environments. Owners of companies that run modern virtual servers and private clouds often notice that they need to provide fairly powerful clients to their employees, and this runs counter to the cloud computing principle of reducing hardware expenditures, energy consumption and the overall carbon footprint created by enterprise networks. With vSpace Pro, network and computing resources can be shared for the purpose of reducing hardware costs and other related expenses such as the office electricity bill. A small business can run vSpace Pro and assign Windows workstations to all employees without having to shop for CPUs, laptops or new clients. In fact, the functional life of older hardware that struggles to run a Windows 10 installation can be extended with this virtualization solution. As of 2018, pricing for vSpace Pro was quite low per license, and it can even be installed on a free and unlimited trial basis. Even though both vSpace Pro uses Linux foundations, NComputing is mostly used to provide virtual instances of the Windows operating system from versions 7 to 10 and Server 2016. There may be an additional cost to secure a single and perpetual Windows Remote Desktop Service, but this is a very affordable solution overall.
HyperIP is a virtualization and virtual machine solution that provides WAN optimization and WAN acceleration as a standalone installation or on a subscription basis. With a HyperIP virtual appliance, users can improve their WAN operations in terms of disaster recovery planning, network replication, file transfer technology, tech support and help desk platforms, and cloud storage. With HyperIP, large data transfers between a main data center and satellite locations or remote offices can be easily accelerated as long as virtual appliances are installed at both endpoints. Traditionally, companies that used to run data centers on the client/server model would run into bottlenecks when the time came to scale their operations or migrate data to other servers. Now that VMware and virtual servers have largely replaced the client/server model, data migration issues still happen because data sets have become larger and network complexity has increased. For this reason, solutions such as HyperIP are still needed to maximize the efficiency of data flow across the wide area network (WAN). Despite the advent of cloud computing as the latest IT paradigm for the enterprise world, not all companies are able to migrate their entire data infrastructure to the cloud. Business requirements and compliance issues often require companies to build their own hybrid networks or private clouds. In some cases, companies may choose to manage their own VMware networks on a wide area network basis. This is a perfect scenario to employ a HyperIP virtualization appliance. HyperIP has been around for more than a decade, and in the beginning, this solution was offered on a standard pricing model. Large companies would pay a flat fee for single virtual appliance license, but this has changed to a subscription pricing model to accommodate small and medium-sized businesses. This new pricing model is based on the performance requirements of companies.
Any given business today needs so many different processes running continuously, which has required advances in workload automation and virtualization. Virtualization and virtual machine software like Turbonomic is specifically built for these mounting needs. With standard architecture, resource allocation for such multiple varying processes to coexist would be rather impossible. The entire concept of virtualization is using a unified machine architecture to perform tasks that would normally require a multitude of different architectures and operating systems. When things go wrong, virtualization is the only way to ensure that there are no interruptions. Enterprise virtualization is actually somewhat novel, despite the fact that virtual machine technology isn’t all that new. This is a very young, but very competitive ecosystem. Despite its youth, virtualization of this sort has already seen a few big names rise of the top of the food chain—one such example is Turbonomic.

Turbonomic Features

  • Performance Management – The ability to optimize resource allocation is a very important feature in virtualization. This solution offers a visual, very intuitive and easy to use interface for setting up service-level agreements and various minimal and maximal limits for such allocations. These can be automated, or manually implemented at any given time.
  • Desktop Virtualization – Without desktop virtualization, this sort of system would be far less practical. With the various virtualized systems running, it’s very handy to be able to go in and interact with them just as though they were desktop machines or mobile devices so commonplace in daily life. While this is a pretty standard feature with most solutions of this type, an emphasis on very intuitive and responsive desktop virtualization is a hallmark of this particular solution.
  • Guaranteed Compliance – Hybrid cloud infrastructure means that whatever new regulations for compliance are put into place, or a need for compliance with a new platform comes around, no tedious updates or major upgrades are needed.
  • Data Mobility –Taking advantage of the decentralized nature of cloud infrastructure as well as the ability to essentially dial in to any process or any database means that you don’t have to worry about data loss. Barring a global catastrophe, your data is guaranteed to remain intact and be in an easy to migrate form at your beck and call.
  • Expandable Power – Virtualization and cloud computing mean that the power available is scalable. This allows for potential for things like AI to be brought into the picture, creating smarter algorithms that can make everything so much easier.


Turbonomic offers three basic plans: Essentials, Advanced, and Premier. Essentials is extremely limited, and probably isn’t worth the time for anyone but a small business. This solution is intended for all business sizes, so starting out with Essentials and upgrading to a more powerful platform isn’t a big deal. Between Advanced and Premier, the only real difference is amount of concurrent operations and scheduled actions available, as well as scope of data storage and raw computational power. This solution is reported to be very reasonably priced, but this is entirely hearsay. Their website does not list any fixed prices, which can be a bad portent when it comes to software as a service solutions.
Cloud computing has opened up a lot of doors for virtualization of both desktop environments and individual apps, and led to virtualization and virtual machine apps like XenApp & XenDesktop. The advantages of this are pretty obvious, ensuring scalability without the installation of hardware, the ability to saving machine states of work is lost, and a tighter control over workspace and the runtimes of individual apps.


  • Platform-Independent High-Definition Experience – Cloud architecture offloads the computing from the actual devices being used. This means that any device capable of rendering high-definition imagery and real-time input can become a supercomputer by proxy. Not only does the save your business a lot of money when it comes time to buy devices, but it also ensures that support is possible for even older devices still adhered to by members of your team.
  • Application Layering – Simplify management of applications and system-level access thanks to a very intuitive and easy-to-use application layering. It’s now very easy to build and on-ramp for your cloud computing without worrying about management of permissions, system access and the like.
  • Easier Migration to Windows 10 – Windows 10 certainly improved in recent months, and vanishing support for older Windows platforms means that eventually everyone’s going to have to upgrade. Virtualization like that offered with this solution makes this so much easier, due to it being a one-stop task that can then be distributed across more than one virtual desktop.
  • Scale for Virtual App or Virtual Desktop – The difference between XenApp and XenDesktop is all about the scale of virtualization you need. The service is flexible enough to allow you to simply virtualize your office software, or something like Skype. However, if you’re a bigger business that needs to virtualize multiple desktop environments, the latter service readily does this. In truth, they’re just tiers of the same service.
  • Simplified Certification and Licensing – With virtualization software and desktop environments like this, it’s much easier to work out licensing and certification. Unlike traditional environments where individual machines each had to have a definition and license, virtual machines all run off of a master source which makes all this much more manageable and unified.


XenApp & XenDesktop don’t really offer multiple tiers of service. There is simply a plan for virtual app environments, and a plan for virtual desktop environments. The obvious difference is all about whether or not you wish to emulate an entire desktop work environment, or just the runtime of an individual application or series of applications. Citrix is known for their reasonable pricing. Unfortunately, no prices are actually listed on their website.
VirtualBox is an open-source virtualization and virtual machine software. In its early stages, virtual computing was designed to allow remote access to mainframe systems, but it has since advanced to offer complete platform solutions that have proven very useful for business operations at all levels. Virtual computing is the predecessor to cloud computing, and it allows business owners to exponentially leverage their hardware resources. As long as the host machine runs on an x86, Intel-like hardware platform, VirtualBox can be used to launch one or more instances of virtual machines running various operating systems. It allows users to configure and deploy virtual machines on a variety of operating system platforms, and it is considered to be a standard of virtualization. VirtualBox will run on all currently supported Windows versions, Debian and SUSE-based Linux distributions, Mac OS X and later versions, and Solaris boxes. The virtual machines can run full versions of the aforementioned operating systems, although Mac OS emulation is limited. Business uses of VirtualBox include:
  • Testing of software and operating systems.
  • Disaster recovery operations.
  • Running multiple machines.
  • Operating secure computing environments.
  • Full virtualization for advanced users.
As open source software, VirtualBox is free to download, install, replicate, and utilize. Oracle even offers VirtualBox versions with pre-built virtual machines that run on Linux distributions configured for developers who wish to test Oracle enterprise applications. The typical use of VirtualBox among business owners and managers is to create or clone a machine that runs a different operating system. A common instance in this regard is to run a Windows machine within a Mac or MacBook for full compatibility. Another typical use would be to configure a virtual machine that can be used in case of emergencies.
In modern times, virtualization has taken on a lot more practical, invaluable uses to the ongoing provision of high computing power needs, parallelism, and failsafe continuous availability—even for Linux. LXC's virtualization and virtual machine software is a unique take on basic, flexible system containment that allows you customize your implementation of Linux in ways rarely seen before. With virtual machines, we can create concurrent computing entities that can distribute across cloud infrastructure, basically making a series of scalable no-upper-limit computers that exist in many locations simultaneously and therefore don’t break nor bottleneck. But we’re here to look at how it’s made Linux so much easier to work with as a platform outside servers, IT and mobile devices. Previously, this system wasn’t that great as a user environment, due to its difficulty to use and lack of branded software available. Most Linux interfaces all run the same software, on the same kernel, and with the same filesystem. However, the way they’re used can vary wildly from one to the next, which causes UX quality assurance problems for software developers. Among other problems, this might be solved by Linux Containers (LXC).


  • Kernel Namespaces – Multiple fully customizable parallel namespaces, including ipc, mount, pid, network, user and uts. Build a full-featured system tailored to your specific needs while also retaining that contained, parallel design that virtualization has made possible. Tap into the open nature of Linux to tailor powerful task-specific computing entities that can’t be done with other operating systems, nor other implementations of Linux.
  • Control Groups – Implement higher-level role-based access and control groups above just the ones inside a given virtualized system, allowing greater collaborative control than was possible with traditional singular direct implementations.
  • Chroot Access – Don’t be stuck with sudo alone; access root-level control and even reassign root access and definition inside the system, from the higher level multi-container management framework.
  • Seccomp Policies – Employ full modern security and access policies such as Seccomp and much more with LXC, tapping the security, policy management and structure only possible with a Linux/UNIX kernel—easily apply this to distributed cloud computing.
  • Full Network Compliance – Network the containers through virtual LAN/TCP-IP or link them with actual physical real networks. Do both in fact, making it easy to parallel the work done in these containers with the real, nonvirtualized world flawlessly and seamlessly.
  • Profile Templates – Access a plethora of crowdsourced definition templates for interface implementations, hardware profiles and network topographies. This gives you an advantage starting out as you can build off these templates and save time while taking full use of some pretty expert, passionately-crafted foundations.
  • Comprehensive Tutorial Selection – It’s easy to find documentation and tutorials to do just about anything you want to do with LXC due to the enthusiastic community dedicated to the development and refinement of this modern marvel.
  • Comprehensive Language Support – The API offers bindings for multiple languages including python2/3, Go, ruby, Haskell and lua.


LXC is an open-source project under the GNU, LGPLv2.1+, and BSD/GPLv2 licenses. This means that you must include the source code should you branch this and create a commercial solution you wish to market. Otherwise, it is absolutely free and the code is readily accessible for modification to your need—if you really need to, which you probably won’t. Like most open projects, it may take more initial work to get this running the way you want, and will probably require some in-house or contracted developers and IT people to help, even with the strong documentation and community support out there. Time and labor are money, so there will still be some entry fees, though indirectly.
EverRun is virtualization and virtual machine software that is tailored to prevent downtime while making it very easy to manage virtual machines (VM), prevent many unpredictable threats, and keep servers running properly. Modern computing and IT infrastructure are vastly more complicated than they were even a few years ago. You’d be hard pressed to find a company of any reasonable scale that isn’t in need of continuous availability for application runtimes, which is where virtual machines (VM) come into play. In short, every business needs such continuously available solutions, and implementing this from scratch is ridiculously expensive, costly to maintain and almost always prone to failure. This is why feature-rich business continuity solutions are so important—they’ve got the infrastructure, management and specifications all worked out and fully vetted so things work while being compliant with industry standards on every front.

EverRun Features

  • Adjustable Availability – Set up individual, adjustable availability levels for all virtualized workloads, as well multiple instances of service-level-agreement (SLA). This allows you to provide the type of continuity needed, while providing the right amount of power and resources for each VM.
  • Multiple Availability Types – Choose from HA (high availability) or FT (fault tolerant) modes for each instance. This flexibility is very important, allowing you to account for high component failure rates, or to focus on continuous wide availability and access.
  • Industry Standard Hardware – EverRun runs smoothly on a very broad-reaching variety of x86 Intel systems.
  • Software-Based Fault Tolerance – Smart-managed parallel processing prevents applications from failing when components do. Sometimes things break, it cannot be predicted. This prevents such inevitabilities from being disastrous.
  • Built-In Virtualization – KVM-based integrated virtualization ensures a permanently available resource pool.
  • Synchronous Data Replication – Prevent further faults and disruptions with automatic resync of disk drives and VM memory.
  • Comprehensive Console – Intuitive console allows you to configure, set up, and manage the whole environment including external devices all from one location. This makes managing your entire infrastructure and availability platform simple for you and your IT department.
  • Remote Availability Services– Implement automatic monitoring of systems so you can be alerted of issues from anywhere, the moment that they occur.
  • SplitSite – Offsite feature helps to prevent catastrophic failures in the case of things like massive equipment failure or power outage.
  • Fault Tolerance Across WAN - connected locations allows infrastructures to not be single-site installments, protecting availability for networks.


EverRun is a very new solution, and with new solutions comes the problem of finding average prices when the site itself does not offer them. Sales must be contacted in order to get pricing quotes or estimates.

Paperspace Review

Paperspace is a reliable VDI application that enables the business to roll out cloud-based desktops with ease. It’s an innovative solution that is easy to implement and maintain. Some of its main benefits include:

Easy to use

Paperspace is designed to deliver the power of Virtual Desktop Infrastructure while eliminating the complexity. The solution handles networking equipment, servers, firewalls, redundancy, disaster recovery, and virtualization efficiently. It presents an elegant web-based interface that allows businesses of all sizes to access innovations normally earmarked for the elites. Paperspace is so easy to set up and use that most of its users implement and manage the solution without the help of an IT guru.

Powerful management

Additionally, Paperspace is designed to facilitate powerful management with an impressive management interface that delivers IT superpowers. The package provides robust tools that enable you to create, sort, filter, and connect machines, users, and networks with ease. It offers a comprehensive overview of all infrastructure in a centralized place with an effortless and intuitive Graphic User Interface.

Enhanced networking

Better still, Paperspace comes with powerful tools that allow you to integrate the solution within the existing network. Its simple management console makes it easy to complete setups for Active Directory and VPN integration with just a few clicks. It eliminates the inherent intricacy of VDI thereby simplifying even the most complex network configurations.

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  • Intelligent alerts
  • Two-factor authentication
  • Share drives
  • Unlimited power
  • Multiple monitors
  • Remote access
  • Simple management
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Paperspace Review: $1,000+ And 2 Years Later

Click here to get $10 in free credits for Paperspace (my personal discount link)

In this Paperspace review (100% uncompensated) I’ll be detailing my experience with it over the 2+ years I’ve been using it, and answering the main questions people have had with it.

(If you’d like to skip straight to the verdict on whether I recommend Paperspace or not, click here)

How I started with Paperspace

I first started using Paperspace in mid-2018 when I wanted to try some different machine learning projects and didn’t have access to my own GPU (an unfortunate necessity given how computationally intensive training machine learning models can be). With Paperspace, you could pay per-hour for accessing machines with GPU’s, and I ended up using them a lot especially in 2018 and 2019. Here’s a snapshot from my Paperspace account showing how much I was being billed:

And a shapshot of just a fraction of emails from Paperspace in my inbox:

Back then Paperspace just offered per-hour billing (currently still offered as “core”), though as of October 1st 2019 they’ve also been offering a whole lot more (“gradient”). I’ll give a rundown of both of these below.

Paperspace Core

With the per-hour billing in Paperspace’s “core” product, you can start a machine with some given list of specifications, and it’ll be created for you in seconds. Taken from my own account screen, here’s an example of some of the machines they offer with Linux (though they have Windows machines too):

With this, you will be charged ONLY for the time your machine is running (you can turn it off at any time), plus a small monthly fee for storage of everything on your machine (around $5/month or more if you’re storing a lot). In the example above, the most expensive machine costs $1.10/hour or $26.40/day. Paperspace is ethical with its billing in that they send you a heads-up if your machine has been on for a while, in order to make sure you’re aware you’re being billed:

Once you’ve started a machine in Paperspace, don’t forget to turn it off when it’s done doing what you needed it to do!

You should go with Paperspace core if you just have a one-off need to use a machine. If you have some project that requires a GPU and you should be done with it within a day or two, for example, it makes a lot more sense to just get a machine here and pay hourly rather than buying your own machine with a GPU or signing up to any kind of monthly subscription.

Finally, you’ll notice in the screenshot above that some machines are locked out, and for these, you need to request access. But this is very simple: you just have to tell them what you want to use the machine for:

Then you should get approved very shortly:

As long as you explain to Paperspace what you need your machine for, you should be able to use any machine you want.

Paperspace Gradient

Introduced on 1st October 2019, Paperspace gradient is a platform for running machine learning projects easier. Here’s basically what is offered:

Pricing for this is cheap, ranging from free, $8/month and $24/month, and it’s definitely worth checking out if any of the features sound useful to you. It’s not at all necessary for you to use it. For myself, I am old-school and prefer to use nothing other than the bare essentials (an FTP program, SSH and the command line) to run machine learning projects on a cloud machine.

Can you use Paperspace for gaming?

I am not a gamer and have not used Paperspace for gaming personally. Therefore, I’m not in a position to say how good Paperspace actually is for gaming, but based on what I’ve read on Reddit and other sources there are plenty of people who have had a great experience using Paperspace + Parsec for gaming (if you’re interested in cloud gaming, check out /r/cloudygaming on Reddit). On the gaming section of Paperspace, they claim there are “over 300,000” gamers on Paperspace. See also this article from Paperspace on how to get started (apparently it is very simple).

Is Paperspace pricing reasonable?

Paperspace core pricing is definitely reasonable, and similar value to any other cloud compute platform (including AWS). It may be hard to do a perfect apples-to-apples comparison because Paperspace machines will not be 100% identical to machines from other providers. However, looking at their GPU-enabled machines, their current per-hour pricing is about what you’d expect to pay anywhere else. To take an example, $0.78/hour for an 8 vCPU, 30GB RAM and 16GB GPU (NVIDIA P5000) is a fair price in my opinion.

Is Paperspace support good?

I have had to contact Paperspace support a couple of times, first regarding having some issue with billing and also once or twice to ask about my machine taking a long time to start up. In both cases Paperspace support was quick and professional, and I expect you’ll be able to get a good response from them within 24 hours to any question.

Are there any Paperspace promo codes?

Use the code SVFTKBC to get $10 free on Paperspace (that is my personal code). I may get some free cloud compute credits with Paperspace if you use that, and so it’s a win-win for both of us if you sign up to Paperspace with that code.

Click here to sign up to Paperspace with the code SVFTKBC and get $10 free.

Paperspace vs AWS

AWS (Amazon Web Services) is a monster in the cloud compute space. However, I prefer using the much smaller Paperspace over AWS since it is far simpler in my experience and much easier to get support. Others may disagree with me on this, but with AWS I was always messing around with trying to navigate the interface, confused on what machine or instance I should try to run (there are literally hundreds), running into issues with getting a security key setup or any number of other things. Personally, I thought Paperspace was much easier to get going with: you just sign up for an account, enter your credit card info, start a machine and you’re ready in 5 minutes. AWS was not like that for me. And with Paperspace, support is likewise super-simple and you can expect an email response within 24 hours for any question. With AWS, you’ll probably have to pay for support, and again, it’s not as quick and simple as just filling out a basic support form. Just figuring out how the support system works and signing up for it as you may well need to do for a response to any question will take you longer than it would to submit your support ticket with Paperspace.

Do I recommend Paperspace?

I definitely recommend Paperspace, and would not have spent as much time and money with it as I have if it wasn’t a pleasant experience. It’s super-simple to use and you get exactly what you pay for at a reasonable price. Therefore, if you’re looking for a cloud compute provider and have come this far, I see no reason not to go with them.



Kevin Smith

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Paperspace Gradient Product Walkthrough


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