Cloud infrastructure & hyperscalers: AWS new AI accelerators (Trainium3), NVLink Fusion and the future of AI performance

With the increasing complexity of AI models and growing computing requirements, the demands on modern cloud infrastructures are increasing rapidly. Amazon Web Services (AWS), as one of the world’s leading hyperscalers, is continuously investing in new technologies to meet the increasing demands of its customers. The introduction of the Trainium3 AI accelerator in 2025 marks a significant milestone in the development of specialized hardware for AI acceleration.

Especially for companies that temporarily need immense computing capacities – for example for training cycles of large language models or complex machine learning workloads – the question increasingly arises: Should I invest in the long term or can I rent AWS AI accelerators to operate more efficiently and cost-effectively? Renting modern high-performance computers is often an attractive alternative, especially when flexibility and scalability are key. A rental solution is also suitable for the classic workplace, for developers or data scientists with highly fluctuating requirements.

What is Trainium3 and why is it a game changer?

Trainium3 is the latest generation of dedicated AI chips from AWS, developed and optimized for deep learning training. The previous versions, such as Trainium and Trainium2, were already specifically adapted to tensor computation and machine learning – but with Trainium3, AWS is now taking a big leap forward.

Fine-tuned AI pipeline: Trainium3 has been specially optimized for modern Transformer architectures – such as GPT or BERT.
Enormous performance: Up to 3 times the performance of Trainium2 with lower energy consumption.
Scaling: Ideal for mega clusters with several hundred AI nodes, connected by NVLink Fusion technology.

By integrating with the AWS Trainium instance families (TRN3 instances), Trainium3 offers unprecedented performance that integrates seamlessly with existing AI workloads – both in PyTorch, Tensorflow and JAX environments. Alternatively, if you need powerful hardware for AI, data science or graphics workloads outside the cloud, you can rent an OMEN Gaming Desktop with a powerful CPU and GPU to handle compute-intensive tasks locally.

The role of NVLink Fusion in the AWS infrastructure

An equally crucial innovation component in AWS’ AI infrastructure is NVLink Fusion – a further development of the NVLink technology developed by NVIDIA. It enables extremely fast data transfers between AI processors in a network cluster and is particularly suitable for use with Trainium3.

This means:

Shorter training time for complex models thanks to faster data exchange.
Lower latencies in the distribution of gigantic tensors.
Greater scalability across thousands of Trainium3 chips.

The use of specialized hardware is recommended for virtual reality applications and demanding AI projects with GPU requirements. With VR-ready computers, for example, you can both train AI models and provide immersive simulations.

Why companies are better off renting AWS AI accelerators

Building your own high-performance AI infrastructure is not only expensive, but also maintenance-intensive. In addition, specialized hardware ages extremely quickly. Companies that want to focus on AI development, research or innovation are therefore looking for flexible, scalable and cost-efficient solutions.

Advantages of renting AWS AI accelerators:

Aspect	Own operation	Rent an AI accelerator
Acquisition costs	High (sometimes several million euros)	No initial investment
Maintenance & upgrades	Own responsibility, expensive	Automated via provider
Flexibility & scaling	Limited by local infrastructure	Almost unlimited scalability
Access to the latest technology	Delayed	Immediate access to Trainium3 etc.
Billing model	Fixed costs	Pay-per-use (hourly or project-based)

Rental solution as a competitive advantage in AI-driven markets

Start-ups, research institutes and R&D departments of large corporations in particular benefit massively from rented high-performance AI infrastructure. AWS AI accelerators such as Trainium3 make it possible to develop prototypes faster, train models more efficiently and drastically reduce time-to-market.

A practical example of this are companies that deal with:

Natural Language Processing (NLP)
Image recognition (computer vision)
Predictive analytics

Flexible rental of hardware such as the MSI Katana GP66 Leopard with GeForce RTX 3080, which offers maximum performance for AI training, scientific calculations or graphics-intensive applications, is particularly recommended for selective, project-based use.

How does the rental of AWS AI accelerators work?

Renting can be done easily via specialized technology rental portals – depending on the provider, the virtual machines with Trainium3 hardware are already offered pre-configured. Customers receive immediate access via secure VPN tunnels or direct cloud connections (e.g. via AWS VPC).

Our technical rental service also offers the following advantages:

Needs-based instance sizes (small, medium, large, cluster)
Free initial consultation with our cloud engineers
Integration of existing model pipelines possible
Billing as required: hours, days, weeks or project duration

For users who value mobile performance or want to develop and test models on the go, modern laptops such as the HP Omnibook Ultra Laptop or the OMEN Transcend Laptop are available for rental – both are ideal for flexible AI and data science requirements.

Areas of application: These sectors benefit in particular

The following industries are among the largest users of powerful AI infrastructure, especially through rental solutions:

Automotive industry: autonomous driving, simulations, predictive maintenance
Biotech & Pharmacology: protein structure analysis, drug design, genome analysis
Finance: Fraud detection, risk modeling, robo advisory services
E-commerce: recommendation engines, dynamic pricing, warehouse logistics
Research & universities: AI research, experimental physics, speech generators

Project-based flexibility, for example by renting computers for current AI challenges, can help your company to realize innovative projects at short notice without burdening your own IT infrastructure.

What comes after Trainium3? A look at the AWS roadmap

Although Trainium3 is new to the market in 2025, AWS already has plans to integrate more powerful models into the “Alloy Clusters” – a combination of Trainium processors and GPU-based models (e.g. NVIDIA Grace Hopper). The aim is to no longer run AI tasks linearly on a hardware architecture, but rather in a scalable and dynamic manner depending on the task.

FAQ: Frequently asked questions about renting AWS AI accelerators

What is the difference between GPU and Trainium?

GPUs (e.g. NVIDIA A100) can be used universally, but Trainium chips are specially optimized for AI training and offer significantly higher performance/watt for dedicated AI workloads. However, with suitable VR computers with high-performance GPUs, many AI projects can also be effectively implemented outside the cloud.

What do I need to be able to use Trainium3?

All you need is access via a rental provider that cooperates with AWS and a software framework adapted to machine learning (e.g. TensorFlow, PyTorch). Optional: dockerized pipelines for immediate integration.

How fast are rented AI accelerators available to me?

Our technical department usually provides the working environment within 24 to 48 hours.

Can I migrate my existing models to Trainium?

Yes, existing models can be translated and optimized for Trainium3 via AWS Neuron SDK.

Conclusion: Act now – rent an AWS AI accelerator and secure competitive advantages

With Trainium3 and NVLink Fusion technology, AWS provides one of the most powerful AI infrastructures currently available – and at predictable costs when booked via rental service providers. For companies of all sizes, this means greater efficiency, more flexibility and direct access to state-of-the-art computing power – without having to invest in your own hardware. Even outside the cloud, you can access the latest technologies with powerful rental computers or gaming desktops with RTX graphics cards to drive your AI projects forward.

Use our B2B rental solutions now to implement or accelerate AI projects. Our technology consultants will be happy to help you choose the right solution. Make a non-binding enquiry on our website today!

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Cloud infrastructure & hyperscalers: AWS new AI accelerators (Trainium3), NVLink Fusion