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NVIDIA RTX PRO 4500 Blackwell GPU powering high-performance Amazon EC2 G7 instances for accelerated computing and AI workload

Editorial illustration for NVIDIA RTX PRO 4500 Blackwell GPUs Power New Amazon EC2 G7 Instances

Research & Benchmarks

NVIDIA RTX PRO 4500 Blackwell GPUs Power New Amazon EC2...

By AI Daily Post Edited by
• Updated: • 3 min read

Amazon just dropped new chips into its cloud. They’re banking you’ll pay for them.

The EC2 G7 instances are now powered by NVIDIA’s RTX PRO 4500 Blackwell GPUs. This is a direct upgrade to the previous G6 generation. The numbers are stark.

Amazon claims up to 4.6 times faster AI inference and more than double the graphics performance. It’s a substantial jump, not a tweak. The kind that makes last year’s expensive setup look obsolete.

The point is to run mixed workloads without the usual chaos. You can stuff up to eight GPUs into a single instance, with 256GB of total GPU memory and networking fast enough to keep them all fed. The idea is that AI training, 3D rendering, and data analytics can all happen on the same hardware.

You rent the cluster. Amazon worries about the rack.

Configurations come in one, two, four, and eight-GPU sizes. A bare-metal option is listed as coming soon. This is the practical sell.

You don’t have to buy a massive setup for a modest job. The promise is lower latency for AI tasks and a system that scales without forcing a complete redesign.

Compared with G6 instances, G7 delivers up to 4.6x AI inference performance, up to 2.1x graphics performance and significantly faster GPU-accelerated data analytics on Amazon EMR using the NVIDIA cuDF library for Apache Spark workloads.

This is the latest move in a long game. AWS and NVIDIA are making it easier to run serious AI work in the cloud. The goal is to make the hardware itself a non-issue.

You pick a configuration. You run your models. The 4.6x speed claim is for inference, the final stage where a trained model makes decisions.

For graphics, it’s 2.1x. They’re also pushing faster analytics through a library called cuDF on Amazon’s EMR service.

It’s infrastructure meant to fade into the background. The partnership isn’t about revolutionary tech. It’s about making powerful computing boring, reliable, and just a click away.

Your engineers stop babysitting servers. They start whatever comes next.

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Common Questions Answered

What are the performance improvements of Amazon EC2 G7 instances compared to G6?

The EC2 G7 instances powered by NVIDIA's RTX PRO 4500 Blackwell GPUs deliver up to 4.6 times faster AI inference compared to the previous G6 generation. Additionally, graphics performance has more than doubled, with a 2.1x improvement specifically for graphics workloads. These substantial performance gains represent a significant upgrade for running AI and graphics-intensive applications in the cloud.

Which NVIDIA GPU powers the new Amazon EC2 G7 instances?

The new EC2 G7 instances are powered by NVIDIA's RTX PRO 4500 Blackwell GPUs. This represents a direct upgrade from the previous generation hardware used in G6 instances, bringing cutting-edge Blackwell architecture to AWS cloud customers.

What specific AI workload does the 4.6x speed improvement apply to in EC2 G7?

The 4.6x speed improvement in EC2 G7 instances specifically applies to AI inference, which is the final stage where a trained model makes predictions and decisions. This makes the new instances particularly valuable for deploying and running production AI models at scale in the cloud.

What is the strategic goal of AWS and NVIDIA's collaboration with these new instances?

AWS and NVIDIA are working together to make it easier to run serious AI work in the cloud by making the hardware itself a non-issue for users. The goal is to allow customers to simply pick a configuration and run their models without worrying about underlying infrastructure complexity.

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