Amazon wants to rent you a 32-core virtual workstation in the cloud for $4.40 per hour and yes, you’d still need to have a thin client to access it


- GeneralPurpose.8xlarge delivers 32 virtual cores and 128GB memory plus 275GB storage
- This is far cheaper than Azure or Google Cloud, but more expensive than onprem if you plan to keep it for 6 months or more
- You will – of course – need a separate computer to access that virtual workstation
AWS has expanded its WorkSpaces desktop-as-a-service offering with the introduction of two new workstation-grade instance types.
The company says these new instances will provide its customers with powerful cloud desktops for resource-intensive Windows workloads.
The new instance types, GeneralPurpose.4xlarge and GeneralPurpose.8xlarge, feature 16 and 32 virtual CPUs (vCPUs) with 64GB and 128GB of memory, respectively. Both include a 175GB root volume and 100GB for user file storage.
Windows-only
Amazon is positioning the two new offerings as being ideal for developers, scientists, financial analysts, and engineers who need to run demanding applications.
“Developers can handle large compilation and development tasks with tools like Visual Studio, IntelliJ, and Eclipse, while engineers and scientists can run complex simulations with MatLab, GNU Octave, R, and Stata,” the company says.
The GeneralPurpose.8xlarge instance is AWS’s first to offer 32 vCPUs but it’s not cheap. With Windows licensing, the 32 vCPU version costs $590 per month, while the 16 vCPU model is priced at $295 monthly. Hourly rates of $4.56 and $2.28 are also available for an additional $19 monthly fee.
Three’s no mention of pricing for Linux users, so it looks as if this is a Windows-only offering for now. Users with their own Windows licenses (BYOL) can save a small amount – the 32 vCPU version drops to $544 ($4.40 an hour) while the 16 vCPU model is $272 ($2.20 an hour).
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
Although AWS’s 32-core virtual workstation offers competitive hourly rates compared to Azure and Google Cloud, it remains pricier than on-premises options for extended use. Additionally, users will obviously still require a separate device to access these cloud desktops.
In parallel to this announcement, AWS also introduced updates to its EC2 Image Builder, allowing Microsoft Windows ISO files to be directly converted into Amazon Machine Images (AMIs), simplifying the process of using existing Windows licenses with Amazon WorkSpaces.
You might also like
GeneralPurpose.8xlarge delivers 32 virtual cores and 128GB memory plus 275GB storage This is far cheaper than Azure or Google Cloud, but more expensive than onprem if you plan to keep it for 6 months or more You will – of course – need a separate computer to access that virtual…
Recent Posts
- A GPU or a CPU with 4TB HBM-class memory? Nope, you’re not dreaming, Sandisk is working on such a monstrous product
- The Space Force shares a photo of Earth taken by the X-37B space plane
- Elon Musk claims federal employees have 48 hours to explain recent work or resign
- xAI could sign a $5 billion deal with Dell for thousands of servers with Nvidia’s GB200 Blackwell AI GPU accelerators
- Race to 100TB HDD heats up as Seagate pulls rug under Western Digital, Toshiba feet by acquiring HAMR-specialist
Archives
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- September 2018
- October 2017
- December 2011
- August 2010