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Bioinformatics Server Rental

We run four servers in-house, one for Nanopore basecalling and the other three for genomics and metagenomics pipelines. By providing rental service of our servers, we wish to enable more people to analyze their sequence data at will and hassle-free.

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Table of Contents

Key Specs

  • High core/RAM server: 64-96 Cores / 128-192 Threads / 1-2 Tb RAM / 4-24 Tb SSD Hard Disk

  • GPU Server: 16 Cores / 128G RAM / RTX 3070 Ti (6,144 CUDA Cores)

  • Physically located in Copenhagen with access via SSH from anywhere in the world.

Background

The exponential growth of DNA sequence data, propelled by advances in high-throughput sequencing technologies, necessitates the use of high-end bioinformatics servers. These servers provide the critical computational power required to manage and analyze the vast amounts of data generated, which can reach terabytes for a single experiment. The sheer volume and speed at which data is produced call for robust processing capabilities, extensive memory, and swift data throughput to ensure that complex bioinformatics tasks such as sequence alignment and genome assembly can be conducted efficiently.

Bioinformatics analyses are not only data-intensive but also computationally demanding, involving intricate algorithms and statistical models to decipher genetic information. High-end servers cater to these needs with advanced CPUs, GPUs, and optimized software that can handle the complexity and diversity of genomic data analysis. Moreover, the urgency in fields like clinical diagnostics and infectious disease research underscores the need for rapid processing, where high-end servers can significantly shorten analysis time, enabling timely decision-making.

Bioinformatics Server Rental

The acquisition and operation of high-end bioinformatics servers represent a significant financial investment, as the upfront costs of purchasing state-of-the-art hardware can be prohibitively high. Additionally, opting for cloud-based services provided by companies like Amazon and Microsoft incurs substantial ongoing expenses due to high rental fees for computing time and data storage, especially given the extensive resources required for comprehensive DNA analysis. This cost barrier can limit access for smaller research institutions or individual labs.

At mBioWorks, we are dedicated to making such powerful servers available to everyone on a budget, slashing the market price by at least 50% compared to public computing resources rental services, and by 80% compared to commercial ones like Amazon AWS.

General Purpose Server

Server #1 – 64 cores, 128 threads, 1 Tb RAM, 4 Tb SSD

Model: Lenovo ThinkSystem SR665

CPU: 2 x AMD Epyc 7532 Processor (256 M Cache, 2.30 GHz, 32 Cores)

RAM: 1 Tb DDR4-2666

Disk: 4 Tb Nvme SSD

Operating system: Ubuntu 22.04 LTS

Connect:

    ssh -p 10006 test-account@ssh1.mbioworks.com

Rental scheme:

  • DKK 199 / day
  • DKK 999 / week
  • DKK 2,999 / month
  • DKK 29,999 / year
  • DKK 79,999 / 3 years (+1 year when paid upfront)

Server #2 – 96 cores, 192 threads, 1.5 Tb RAM, 12 Tb SSD

Model: Lenovo ThinkSystem SR665

CPU: 2 x AMD Epyc 7642 Processor (256 M Cache, 2.40 GHz, 48 Cores)

RAM: 1.5 Tb DDR4-2666

Disk: 8 Tb Nvme SSD + 4 Tb SATA SSD

Operating system: Ubuntu 22.04 LTS

Connect:

    ssh -p 10424 test-account@ssh2.mbioworks.com

Rental scheme:

  • DKK 299 / day
  • DKK 1,499 / week
  • DKK 4,499 / month
  • DKK 44,999 / year
  • DKK 119,999 / 3 years (+1 year when paid upfront)

Server #3 – 96 cores, 192 threads, 2 Tb RAM, 24 Tb SSD

Model: Lenovo ThinkSystem SR665

CPU: 2 x AMD Epyc 7642 Processor (256 M Cache, 2.40 GHz, 48 Cores)

RAM: 2 Tb DDR4-2666

Disk: 8 Tb Nvme SSD + 16 Tb SATA SSD

Operating system: Ubuntu 22.04 LTS

Connect:

    ssh -p 10800 test-account@ssh3.mbioworks.com

Rental scheme:

  • DKK 399 / day
  • DKK 1,999 / week
  • DKK 5,999 / month
  • DKK 59,999 / year
  • DKK 159,999 / 3 years (+1 year when paid upfront)
GPU Server for Basecalling

CPU: AMD Ryzen 9 5950X, 3.4 GHz, 16 cores, 24 threads

RAM: 128 Gb DDR4-3200

Disk: 1 Tb SSD

GPU: Asus GeForce RTX 3070 Ti 8 Gb TUF

Operating system: Windows 11

DKK 15 / hr. (€ 2). Contact us for a long-term agreement.

Usage and Practices

Usage:

  1. Calculate the length of the rental period, min. unit as one day.
  2. Contact info@mbioworks to obtain a user account that is only valid for the designated period. 
  3. Connect to the server using ssh.
  4. Download the user’s data using the provided Dropbox connection point or the user’s own cloud account.
  5. Install softwares with sudo previliges.
  6. Analyze the data and save the results.
  7. Upload any results to a Dropbox connection point for transferring to the user’s own computers.
  8. The rental period ends and the whole server will be recovered using mirror disks to the original state with all programs installed and the user’s data deleted. 

 

Policies and rules:

  1. The whole server is at the individual user’s disposal. 
  2. The CPU and RAM’s usage and their temperatures and the disk’s free space will be monitored in the background.
  3. It’s the user’s own responsibility to keep the system healthy during the rental period. Call-up service will incur reasonable charges. Hardware related issues are exeption.
  4. Users are welcome to share the computational resources with anyone. A setup fee will apply if additional accounts are needed.
  5. The servers are only intended for bioinformatics purposes. Other types of use are strictly prohibited. Any violation will trigger an immediate termination of the rental agreement.
  6. No user data nor programs installed by users will be retained on the server.
National Bio-IT Resources

https://genome.au.dk/

Specs:

4500 CORES/39 TB MEMORY/11 PB STORAGE/1 BILLION FILES

GenomeDK is open to account requests from people associated with a university or small and medium-sized enterprises (SMEs).

In 2023, the prices are:

0.13 DKK/BILLING HOUR CPU
2.34 DKK/BILLING HOUR GPU
250 DKK/TB/YEAR STORAGE
500 DKK/TB/YEAR BACKUP

https://computerome.dk/

Computerome is one of Scandinavia’s largest High-Performance Computing (HPC) clusters dedicated to life science research. Secure and adaptable, the cluster has 20 PB of storage, over 31,000 cores, and a library of over 3000 different life science applications.

All prices are in DKK excluding VAT.

Compute rates
 Fee per node per hourFee per CPU cores per hour
1 compute node – 40 cores with 192 GB memory12,000,30
1 GPU node – 40 cores and 192 GB memory and 1 NVIDIA TESLA V100 GPU card20,000,50
1 fat node – 40 cores with 1,5 TB memory12,000,30
 
Storage rates
 Fee per month
1 GB fast online storage for computation0,260
1 TB fast online storage for computation260,00
1 GB offline backup and storage0,260
1 TB offline backup and storage260,00

https://www.deic.dk/da

Danish e-infrastructure Cooperation (DeiC) is the collaboration with and between Danish universities. DeiC coordinates the delivery and development of the national digital research infrastructure.

https://ngc.dk/

Dedicated to personalised medicine.

Pricing Comparison

mBioWorks
Server #1

64 c / 128 t / 1 Tb RAM / 4 Tb SSD
kr 199 Per Day
  • 999 kr. / week
  • 2,999 / month
  • 29,999 / year
  • 79,999 kr. / 3 years + 1
  • Copenhagen
  • SSH from anywhere
Popular

mBioWorks
Server #2

96 c / 192 t / 1.5 Tb RAM / 12 Tb SSD
kr 299 Per Day
  • 1,499 kr. / week
  • 4,499 / month
  • 44,999 / year
  • 119,999 kr. / 3 years +1
  • Copenhagen
  • SSH from anywhere

mBioWorks
Server #3

96 c / 192 t / 2 Tb RAM / 24 Tb SSD
kr 399 Per Day
  • 1,999 kr. / week
  • 5,999 / month
  • 59,999 / year
  • 159,999 kr. / 3 years + 1
  • Copenhagen
  • SSH from anywhere

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