“Data Centres: A Growing Contributor to Global Electricity Consumption”

As technology continues to evolve and our dependence on digital infrastructure grows, data centres have become a critical component of our modern society. However, the massive amounts of electricity required to power and cool these facilities have raised concerns about their environmental impact. According to a recent report, data centres accounted for approximately 1.5% of global electricity consumption in 2024 (Nature). This staggering statistic highlights the urgent need for the industry to explore more sustainable practices and embrace future trends that can help mitigate their carbon footprint.

The Rise of Renewable Energy

One clear trend that we can expect to see in the future is the increased adoption of renewable energy sources to power data centres. As the urgency to combat climate change grows, governments and businesses are recognizing the importance of transitioning to clean energy alternatives. Renewable energy technologies such as solar, wind, and hydroelectric power offer a reliable and sustainable solution for data centres.

In recent years, we have already witnessed prominent tech companies and data centre operators investing in renewable energy projects. For instance, Google has pledged to reach 100% renewable energy for its global operations, including data centres (Google Sustainability). This commitment not only helps reduce their environmental impact but also provides an opportunity for the industry to lead by example and inspire others to follow suit.

Improving Energy Efficiency

Another crucial aspect of future trends for data centres is the continuous pursuit of energy efficiency. With power consumption being a significant contributor to their environmental footprint, data centre operators are investing in innovative solutions to optimize energy usage and reduce waste.

Advanced cooling technologies, such as liquid cooling, are gaining traction as they can significantly improve energy efficiency compared to traditional air-cooling methods. Furthermore, implementing intelligent software systems and artificial intelligence algorithms can help optimize workload distribution and resource utilization, ultimately reducing overall energy consumption.

The Advent of Edge Computing

Edge computing is poised to revolutionize the data centre industry by bringing computation closer to the source of data generation. Instead of transmitting vast amounts of data to centralized data centres, edge computing allows for processing and storage to occur directly on the devices or at the edge of the network, reducing the need for extensive data infrastructure.

This trend has the potential to lower the overall energy requirements of data centres, as fewer resources will be needed for long-distance data transmission. As the Internet of Things (IoT) continues to expand, edge computing can play a vital role in managing and processing the massive volumes of data generated by billions of connected devices.

Recommendations for the Industry

  1. Invest in renewable energy: Data centre operators should prioritize the adoption of renewable energy sources to power their facilities. Collaborating with energy providers, governments, and clean energy advocates can help accelerate the transition to sustainable energy.
  2. Implement energy-efficient practices: By investing in advanced cooling technologies and optimizing resource utilization, data centres can significantly improve their energy efficiency. This includes exploring innovative solutions such as liquid cooling and leveraging artificial intelligence for workload management.
  3. Embrace edge computing: As the industry moves towards edge computing, data centre operators should adapt their infrastructure to support this trend. This involves developing edge data centres and investing in robust network infrastructure at the edge to facilitate efficient data processing and storage.
  4. Educate and raise awareness: It is crucial for the industry to actively educate the public and stakeholders about the environmental impact of data centres and the steps being taken to mitigate it. Spreading awareness and promoting sustainable practices can inspire change and encourage others to follow suit.

In conclusion, the future trends for data centres revolve around sustainability and efficiency. The adoption of renewable energy, continuous improvements in energy efficiency, and the rise of edge computing are key factors that will shape the industry in the coming years. By embracing these trends and implementing the recommended practices, the data centre industry can pave the way towards a more sustainable and environmentally conscious future.

References:
Nature, Published online: 10 April 2025; doi:10.1038/d41586-025-01113-z
Google Sustainability. (n.d.). Responsible Operations: Renewable Energy. Retrieved from https://sustainability.google/responsible-operations/renewable-energy/

“From Novice to Contributor: Supporting First-Time Contributions to FOSS”

“From Novice to Contributor: Supporting First-Time Contributions to FOSS”

[This article was first published on rOpenSci – open tools for open science, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)


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This week we had a wonderful community call, From Novice to Contributor: Making and Supporting First-Time Contributions to FOSS, where Sunny Tseng, Pascal Burkhard, and Yaoxiang Li shared with us their experiences with, and advice for, first time contributors, with the excellent moderation of Hugo Gruson.
This was a perfect start to our special series of activities to support first time contributors to Open Source Software.

Our next two activities, Coworking Mini-Hackathons for First-Time Contributors, will take place February 4th 2025 1-3 UTC and March 4th 2025 13-15 UTC (see below for details), but first, let’s review what we learned from this Community Call.

Community call

Our three panellists each shared different experiences and perspectives on making contributions to open source software.
Sunny and Pascal shared their experiences with getting involved, Pascal and Yaoxiang shared technical tips for git and testing, and all three offered advice for first time contributors.

Sunny focused on her journey making her first R package, bbsTaiwan as part of the rOpenSci Champions Program and Pascal shared his experiences as a first time contributor to the babelquarto package after being a long-time solo user of git.
Then Yaoxiang rounded out our call with advice for first-time contributors on the importance of including tests and how to deal with different testing situations, referring to his experience with medrxivr.

Sunny recommended that you have a plan for your contributions, but remain flexible as things change or don’t proceed as you may have expected.
Both Sunny and Pascal pointed out that they found git to be less scary than they expected once they got started, and that they learned so much while collaborating with others.
Among other technical suggestions, Pascal and Yaoxiang both commented that starting small and using good descriptions can be really helpful, whether for git commit messages or code tests.

Mini-hackathons

Hopefully this community call has inspired you to get involved open source software.
If you’re curious about contributing to Open Source Software, and would like some support to get started, our coworking mini-hackathons are for you!

We’ll be hosting two events, the first on February 4th 2025 1-3 UTC and the second on March 4th 2025 13-15 UTC.

During these session you’ll join others making contributions to R packages while package maintainers and other mentors are available ’live’ to answer questions and give guidance.

We’ll also have a special Slack channel ready as a place for asynchronous questions during the event and in the week following.

These collaborative events are designed to help first-time contributors get started with open-source projects.
Whether you’re improving documentation, reviewing translations, fixing bugs, or adding new features, our mentors will guide you every step of the way.

No prior experience required. Non-first time contributors are very welcome too—just bring your curiosity and enthusiasm!

Note that this event requires registration.
Please fill out this short form to sign up.

We’ll send out reminders, some information to get you started, and a Zoom link closer to the date.

Resources

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The Future of Open Source Contributions: Insights from the FOSS Community Call

In a recent webinar themed “From Novice to Contributor: Making and Supporting First-Time Contributions to FOSS,” industry experts Sunny Tseng, Pascal Burkhard, and Yaoxiang Li shared their first-hand experiences and advice for novice contributors. The session, moderated by Hugo Gruson, served as the opening of a series of activities to support first-time contributors to Open Source Software and offers valuable insights on the future of open source contributions.

Key Takeaways and Future Implications

During the call, the panellists each shared unique experiences and perspectives, extending valuable advice to newcomers in the field. The first-time contributors offered their candid insights that could essentially drive the future development of the open-source ecosystem.

Focus on Improving Skills

Sunny discussed the importance of planning while also staying versatile as things may not always go as expected. She reiterated the need for new contributors to develop their skills, something she learned while creating her first R package, which fosters a culture of continuous learning in the open source industry.

Collaboration and User-friendly Tools

Pascal’s experiences underlined the importance of collaboration in open source projects, suggesting that the future of open source contributions could involve more collaborative efforts. He stressed the benefit of user-friendly tools like git, which he found to be less intimidating than anticipated and incredibly helpful for collaborations.

Technical Expertise and Descriptive Communication

Yaoxiang advocated the importance of including tests and dealing in diverse testing situations, using his experiences with medrxivr as an example. His advice hints at the importance of technical prowess in successful open source contributions. Both Pascal and Yaoxiang also emphasized the value of detailed and descriptive communication, whether for commit messages or code tests. This could influence the culture of open communication and diligence in open source contributions.

Long-Term Implications and Future Developments

The trends mentioned above suggest that the open-source community continues to evolve towards inclusivity, collaboration, technical mastery, and transparent communication. The field will likely become more welcoming for first-time contributors, continuously facilitate skill growth, encourage collaboration, and promote diligent, descriptive communication.

Actionable Advice for Future Contributors

  • Plan your contributions but remain adaptable as situations may change
  • Take advantage of user-friendly tools like git for collaboration.
  • Utilize descriptive communication in your contributions, whether for commit messages or code tests.
  • Do not overlook the significance of technical skills, especially for conducting tests.

Looking Forward: Coworking Mini-Hackathons for First-Time Contributors

rOpenSci is hosting Coworking Mini-Hackathons for First-Time Contributors in February and March of 2025. These events are a great opportunity for novice contributors to learn and explore the world of open source. They can get hands-on experience, benefit from live mentors, and connect with a supportive community. The move towards such inclusive events further highlights the future development of the open-source world – that of embracing first-time contributors and providing them with the necessary support.

Final Thoughts

The open-source community is heading towards a more inclusive and collaborative future. The insights shared by Sunny, Pascal, and Yaoxiang are not only inspiring for novices but also indicate the direction in which open-source contributions are moving. By offering ample support to first-time contributors, we can foster a richer and more diverse community, driving innovation and technological advancements.

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From Novice to Contributor: A Guide to Making and Supporting First-Time Contributions to FOSS

From Novice to Contributor: A Guide to Making and Supporting First-Time Contributions to FOSS

[This article was first published on rOpenSci – open tools for open science, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)


Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t.

How to join this free online event with Yi-Chin Sunny Tseng, Pascal Burkhard, Yaoxiang Li and Hugo Gruson.

Contributing to open source can be very rewarding, but also incredibly intimidating.
When we asked about first time contributions on the rOpenSci Slack,
people recalled the challenges and mistakes they made,
but mostly how much they learned from and enjoyed that experience.

In this community call moderated by Hugo Gruson, our speaker,
Yaoxiang Li will discus the importance of tests with respect to first-time contributions, and share best practices and advanced techniques for supercharging
R package quality with testthat, Pascal Burkhard will discuss is the basic git
skills that can help to make a first contribution, and Sunny Tseng will share
practical advice for making first contributions, common challenges and how to
overcome them.

This event is supported by NumFOCUS Small Development Grants.

See below for speaker bios and resources.

Speakers

Yi-Chin Sunny Tseng

Portrait of Yi-Chin Sunny Tseng

Sunny Tseng is a Vancouver-based data scientist and PhD candidate specializing in avian acoustics. She enjoys the welcoming community that open-source science brings to her career. Sunny is also a scientific infographic designer, blending art with conservation research. As a 2023-2024 rOpenSci Champion, she recently released her first R package, bbsTaiwan, linking her passion for open science with her Taiwanese roots—and featuring her bird art as the logo.

Pascal Burkhard

Portrait of Pascal Burkhard

Pascal is a geography and computer science teacher in a Swiss high school, and has been using R for about 15 years now. Pascal mostly does visualizations for lessons (graphs and maps), but is also a big fan of Quarto to create documents, presentations and books that can all be organized into clean websites to use as a teaching platform.

Yaoxiang Li

Portrait of Yaoxiang Li

Yaoxiang Li is a Senior Bioinformatician at Georgetown University. He has extensive experience in developing R packages, focusing on making complex bioinformatics data accessible. He is passionate about improving open-source software quality, supporting new contributors, and promoting reproducibility in computational biology. Yaoxiang is deeply interested in both statistical theory and the application of machine learning in biomedical research. He has made significant contributions to the R ecosystem, including co-authoring several rOpenSci packages and contributing to R-core through bug fixes.

Hugo Gruson

Portrait of Hugo Gruson

Hugo Gruson is an evolutionary biologist who fell in love with R and R package development during his PhD. He is now working full-time as an R package developer, with a current focus on making the ecosystem of R packages for epidemiology more robust.

Join Us!

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Analysis of the Key Points: Open Source Contributions and its Importance

Contributing to open source projects can present a significant learning opportunity and it is becoming increasingly popular among various groups, including data scientists and even educators. According to the discussed event, it also opens a platform for diverse and unique backgrounds, from avian acoustics to evolutionary biology, united by a common love for R package development and open-source community collaboration.

Possible Future Developments

If more experienced developers and experts, like Yaoxiang Li, Pascal Burkhard, Yi-Chin Sunny Tseng, and Hugo Gruson, can provide guidance and best practices to newcomers, it will expedite the learning process and create a smoother transition for first-time contributors. With public figures from diverse fields showing their support and involvement in the R community, it can influence people from various disciplines to participate, enriching the open source community with a wide array of expertise.

Long-term implications

This increased involvement and guidance can democratize and decentralize innovation in the field of data science, genomic research, geographic data visualization, to name a few. By fostering a community spirit and focusing on contributors’ experience, rOpenSci is promoting inclusivity. In the long run, it could lead to more significant innovations and advancements due to the multifaceted team contributing to the same project. Furthermore, it will help leverage a diverse talent pool and combat the monoculture generally found in tech.

Actionable Advice and Insights

  1. Keep Learning and Sharing: New and experienced open-source contributors alike should continuously seek out ways to improve their skills and also disseminate this knowledge. This will help accelerate the growth and development of the R community.
  2. Promote Diversity: Encourage experts from varied fields to contribute. This could stimulate innovation and bring forth unique perspectives to the open-source project. It is also crucial for leaders to create an environment where a diverse range of voices are heard and valued.
  3. Key Onboarding Best Practices: Key best practices such as giving a brief introduction to newcomers, assigning them a mentor, and encouraging their active engagement can help assimilate them into the community. This would enable them to contribute meaningfully and learn from the experience effectively.
  4. Organize Contributor-friendly Events: Events like the one discussed invite everyone, irrespective of their experience level, which normalizes the process of getting involved and offers a platform for learning and networking.

Open-source contributions have the potential to significantly shape fields of study and the future of science and technology. By fostering a contributor-friendly environment, there is significant potential for growth and innovation.

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Strategic Investment Analysis: Key Questions for NVIDIA’s Future

Strategic Investment Analysis: Key Questions for NVIDIA’s Future

[This article was first published on Steve's Data Tips and Tricks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)


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Introduction

In this comprehensive analysis, we’ll explore the critical investment questions generated by DoTadda’s Knowledge platform based on NVIDIA’s recent earnings calls. This analysis provides investment professionals with a structured framework for evaluating NVIDIA’s market position and future prospects.

DoTadda’s Key Metrics Analysis Table

DoTadda’s Key Metrics Analysis Table
Metric Value Trend
Latest Q Revenue $35.1B Up 94% Y/Y
Data Center Revenue $30.8B Up 112% Y/Y
Gaming Revenue $3.3B Up 15% Y/Y
Gross Margin 74.6% Trending Down
Data Center % Rev ~ 88% Increasing
China DC Revenue Mid-Single Declined significantly

Critical Investment Questions Framework

1. AI Market Leadership Sustainability

Why It Matters: Data Center/AI represents ~88% of revenue with 112% Y/Y growth

Key Questions:

  • How sustainable is NVIDIA’s technological lead in AI chips?
  • Can they maintain their pricing power and margins?
  • What is the true size of the AI infrastructure opportunity?

Supporting Evidence:

“Generative AI is not just a new software capability, but a new industry with AI factories manufacturing digital intelligence, a new industrial revolution that can create a multi trillion dollar AI industry.” – Jensen Huang, Q3 2025

2. Supply Chain Execution

Why It Matters: Demand consistently exceeds supply, making execution critical

Key Questions:

  • Can they scale production to meet demand?
  • How are they managing component sourcing?
  • What are the risks in their supply chain?

Supporting Evidence:

“While demand greatly exceeds supply, we are on track to exceed our previous Blackwell revenue estimate of several billion as our visibility into supply continues to increase.” – Colette Kress, Q3 2025

3. Competition and Moat Analysis

Why It Matters: Cloud providers and others are developing their own chips

Key Questions:

  • How defensible is their software/ecosystem advantage?
  • What is the risk from cloud providers’ internal chip programs?
  • How sustainable is their pricing power?

Supporting Evidence:

“For every $1 spent on NVIDIA AI infrastructure, cloud providers have an opportunity to earn $5 in GPU instant hosting revenue over 4 years.” – Colette Kress, Q1 2025

4. China Exposure and Regulatory Risk

Why It Matters: China restrictions have significantly impacted revenue

Key Questions:

  • How will evolving export controls affect their business?
  • Can they develop competitive China-specific products?
  • What is the long-term China strategy?

Supporting Evidence:

“Our Data Center revenue in China is down significantly from the level prior to the imposition of the new export control restrictions… We expect the market in China to remain very competitive going forward.” – Colette Kress, Q1 2025

5. Financial Sustainability

Why It Matters: Current growth rates and margins are exceptional

Key Questions:

  • Are current margins sustainable?
  • How cyclical is the business?
  • What is the long-term growth trajectory?

Supporting Evidence:

“GAAP gross margins were 74.6%… down sequentially, primarily driven by a mix shift of the H100 systems to more complex and higher cost systems within data center.” – Colette Kress, Q3 2025

6. Product Transition Risk

Why It Matters: Success depends on smooth transitions to new architectures

Key Questions:

  • How will the transition to Blackwell impact financials?
  • What is the product roadmap beyond Blackwell?
  • How are they managing product transitions?

Supporting Evidence:

“Blackwell production is in full steam… we will deliver this quarter more Blackwells than we had previously estimated.” – Jensen Huang, Q3 2025

Your Turn!

Apply DoTadda’s framework to analyze NVIDIA’s competitive position:

Problem:

Using the provided earnings call data, evaluate: 1. NVIDIA’s competitive moat 2. Growth sustainability 3. Key risk factors

Solution Template:

1. Competitive Moat Analysis
   - Software/ecosystem advantages
   - Manufacturing capabilities
   - R&D leadership

2. Growth Sustainability
   - Market opportunity size
   - Product roadmap
   - Customer concentration

3. Risk Assessment
   - Regulatory environment
   - Competition
   - Supply chain constraints

Bonus

Take the questions from above and ask DoTadda! Share the insights you get!

Quick Takeaways

  • AI/Data Center dominates revenue (~88%)
  • Demand significantly exceeds supply
  • China exposure remains a key risk
  • Margins trending down with product mix
  • Blackwell transition critical for growth

References

  1. NVIDIA Q3 2025 Earnings Call (2024-11-20)
  2. NVIDIA Q2 2025 Earnings Call (2024-08-28)
  3. NVIDIA Q1 2025 Earnings Call (2024-05-22)
  4. NVIDIA Q4 2024 Earnings Call (2024-02-21)

We encourage investment professionals to share their analysis using this framework. What additional insights have you uncovered?


Happy Coding! 🚀

Revenue

You can connect with me at any one of the below:

Telegram Channel here: https://t.me/steveondata

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Continue reading: Strategic Investment Analysis: Key Questions Generated by DoTadda’s Knowledge Platform

Long-term Implications Of The Investment Analysis

The comprehensive analysis of DoTadda’s Knowledge platform of NVIDIA’s recent earnings calls reveals potential indicators and strategic ISight into NVIDIA’s future market positioning and sustainability. Here we consider the long-term implications and future developments.

AI Market Leadership Sustainability

With Data Centers/AI representing ~88% of NVIDIA’s revenue with 112% Y/Y growth, the sustainability of NVIDIA’s market leadership in the AI domain becomes a crucial point. If NVIDIA could maintain its technological lead in AI chips, continue to hold their pricing power and margins, and properly grasp the AI infrastructure opportunity’s size, it will solidify its leadership position in the AI market and result in substantial increases in revenue. However, the emergence of an equally competitive player might impact NVIDIA’s solid positioning, making market diversification a key strategic necessity.

Supply Chain Execution and Risks

Given the demand consistently exceeding the supply, successful supply chain execution becomes vital. If NVIDIA is able to scale up production to meet up with the demand and manage component sourcing effectively without hiccups, they will maintain their market position. However, disruptions in the supply chain and inability to meet demand might lead to loss of market share.

Competition and Moat Analysis

While NVIDIA has currently established a clear competitive advantage in the AI sector, the dynamic tech industry, which allows for rapid developments and launches by competitors, remains a risk. If NVIDIA fails to guard its software/ecosystem advantage and fails to maintain its pricing power, it might lose its competitive edge.

Chinese Market Exposure And Regulatory Risk

With China’s restrictions significantly impacting NVIDIA’s revenue, there is an apparent need for a focused and competitive China-specific strategy. Without it, NVIDIA might continue to suffer significant revenue losses in the Chinese market. Understandably, changing geopolitical and trade regulations might affect the implementation of such strategies.

Financial Sustainability And Product Transition Risk

While the current growth rates and margins of the company are exceptional, the sustainability of these aspects depends largely on the cyclicity of the business and long-term growth trajectory. Potential market saturation or declining demand could eventually affect the growth rate. Similarly, successful transitions to new architectures, such as Blackwell, are critical for maintaining growth and competitiveness.

Actionable Advice

  1. Invest In Diversification: With AI/Data Centers being the major contributor to NVIDIA’s revenue, it will be advantageous to invest in diversifying into other promising areas to shield the business from unexpected fluctuations in AI industry dynamics.
  2. Enhance Supply Chain: Given the high demand for NVIDIA’s products, substantial investments in expanding manufacturing and supply chains should be considered to meet the demand and guarantee the growth of revenues and overall business growth.
  3. Strengthen Market Position In China: To mitigate the losses due to restrictions by China, it is imperative for NVIDIA to develop and implement a strong China-specific strategy and develop competitive products for the Chinese market.
  4. Prepare For Successful Product Transitions: NVIDIA should invest in research and development and customer communication to smooth the transition to new product architectures and maintain its competitive position.

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