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AWS partners with Orbital Materials to boost carbon removal, cooling, and efficiency in data centers
AWS and Orbital want carbon-negative data centers by end of 2025.
Carbon removal costs are estimated at $[website] per GPU hour.
Orbital’s AI model Orb will debut on AWS platforms.
AWS and Orbital Materials have introduced a partnership using generative AI to boost data center sustainability and efficiency.
The partnership will focus on developing new materials for carbon removal, chip cooling, and water utilization within AWS data centers.
Traditional material development has relied on lengthy trial-and-error processes in laboratories, but Orbital Materials says its own generative AI platform can allow rapid design, synthesis, and testing of advanced materials.
Generative AI transforms materials discovery for faster, efficient innovation.
Since establishing its lab in early 2024, Orbital says it has achieved a tenfold improvement in material performance, showcasing unprecedented speed in materials discovery.
The corporation's first product, a proprietary carbon removal material for direct air capture (DAC) has captured AWS's interest, allowing Orbital to develop a DAC system designed to operate within data centers, repurposing waste heat to drive carbon removal, and significantly reducinges scope 3 emissions, aligning with AWS’s sustainability goals.
Data centers are critical to powering modern technology but are also significant energy consumers with complex carbon footprints. Through the partnership, AWS aims to integrate Orbital’s DAC system into its data centers, demonstrating a full-scale pilot by the end of 2025.
Orbital estimates its material could achieve carbon negativity for renewable-powered data centers for $[website] per GPU per hour, a small fraction of current GPU usage costs, which range from $2 to $10 per hour. The potential economic viability of this technology could pave the way for scalable adoption across the cloud computing industry, enabling AWS and others to mitigate environmental impacts.
As part of the partnership, Orbital’s generative AI model, Orb, will become available to AWS end-individuals through Amazon SageMaker JumpStart and AWS Marketplace. Orb is the first AI-for-materials model on AWS platforms and will enable researchers and businesses to simulate and develop advanced materials more efficiently. Applications for Orb extend beyond carbon removal and include technologies like semiconductors, batteries, and electronics.
To support its AI advancements, Orbital will pre-train and fine-tune its foundation models on Amazon SageMaker HyperPod, AWS’s purpose-built infrastructure for large-scale distributed training. Additionally, Orbital plans to evaluate the deployment of AWS Trainium, a custom silicon designed to optimize the cost performance of deep learning workloads.
“Our partnership with AWS will accelerate the deployment of our advanced technologies for data center decarbonization and efficiency. Working with the market-leading AWS team will ensure that our suite of products in cooling, water utilization and carbon removal enables the next generation of data centers powering the AI revolution,” expressed Jonathan Godwin, CEO and Co-Founder of Orbital Materials.
Howard Gefen, General Manager of AWS Energy & Utilities said "AWS looks forward to collaborating with Orbital and their mission to drive data center decarbonization. Through Amazon SageMaker HyperPod and AWS Trainium, we can accelerate the development of breakthrough sustainability technologies."
"By integrating Orb with Amazon SageMaker JumpStart and AWS Marketplace, we will enable sustainable innovation more widely. Together, we have the opportunity to set new benchmarks for carbon removal and efficiency across the industry," Gefen concluded.
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(PR) ASUS AI POD With NVIDIA GB200 NVL72 Platform Ready to Ramp-Up Production for Scheduled Shipment in March
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Market Impact Analysis
Market Growth Trend
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| 4.9% | 5.9% | 6.2% | 6.9% | 7.3% | 7.5% | 7.6% |
Quarterly Growth Rate
| Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
|---|---|---|---|
| 6.9% | 7.2% | 7.4% | 7.6% |
Market Segments and Growth Drivers
| Segment | Market Share | Growth Rate |
|---|---|---|
| Semiconductors | 35% | 9.3% |
| Consumer Electronics | 29% | 6.2% |
| Enterprise Hardware | 22% | 5.8% |
| Networking Equipment | 9% | 7.9% |
| Other Hardware | 5% | 5.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
| Company | Market Share |
|---|---|
| Apple | 18.7% |
| Samsung | 16.4% |
| Intel | 12.9% |
| NVIDIA | 9.8% |
| AMD | 7.3% |
Future Outlook and Predictions
The Partners Orbital Materials landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the hardware tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing hardware tech challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of hardware tech evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
| Factor | Optimistic | Base Case | Conservative |
|---|---|---|---|
| Implementation Timeline | Accelerated | Steady | Delayed |
| Market Adoption | Widespread | Selective | Limited |
| Technology Evolution | Rapid | Progressive | Incremental |
| Regulatory Environment | Supportive | Balanced | Restrictive |
| Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.
platform intermediate
API beginner
How APIs enable communication between different software systemsRAM intermediate
CPU intermediate
GPU intermediate
SSD intermediate
interface intermediate
cloud computing intermediate
liquid cooling intermediate
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