Everything You Need to Know About AWS Graviton 4 Processors

• General Availability of Graviton 4 Processors

• Key Features of AWS Graviton 4

• Graviton 3 vs. Graviton 4: What's New?

• Ideal Workloads for Graviton 4-Powered EC2 Instances

• FAQs

• Summary

General Availability of Graviton 4 Processors

AWS states that Graviton 4-powered EC2 X8g instances are now out. These instances focus on memory-heavy tasks. They offer up to 3 TiB of DDR5 memory and handle 192 vCPUs.

They provide a 16:1 memory-to-vCPU ratio, which helps jobs like:

• In-memory databases
• EDA
• Real-time data analysis.

The instances run on the fifth-generation Nitro System. They include Branch Target Identification (BTI) for stronger protection. AWS built them to give better performance at a lower price per gigabyte of memory.

Graviton 4 has 3× more memory, 3× more vCPUs, and 2× the input/output speed compared to X2gd instances. It increases memory speed by 160% and provides a bigger L2 cache per core. Processing power rises by up to 60%. Teams can tackle tougher tasks faster. Users report better data flow and less delay across main jobs. Check these benefits to see their value:

• Up to 3 TiB of DDR5 memory for memory-hungry apps

• 192 vCPUs with a better L2 cache for stronger parallel work

• 160% more memory speed compared to Graviton 3

• 60% better processing power over the last version

• 2× EBS and network speed, lifting input/output performance

• Lowest price per gigabyte of memory among all EC2 instance types

Key Features of AWS Graviton 4

1. High Core Count and Memory Capacity

Graviton 4 processors provide up to 192 vCPUs. Apps can manage more tasks at once. They also handle up to 3 TiB of DDR5 memory for big data jobs. The 16:1 memory-to-vCPU ratio aids tasks like in-memory databases, and EDA.These features let teams work with larger datasets without lag. Apps needing fast, large memory see a strong performance jump.

2. Better Memory Speed

Graviton 4 gives 160% more memory speed than Graviton 3. It uses DDR5 memory, which speeds up data movement between memory and CPU. This change helps memory-heavy tasks run faster and smoother. Users see better data flow and less wait time during data work. High speed keeps performance steady under tough conditions.

3. Stronger Processing Power

Graviton 4 provides up to 60% better processing power than the prior version. It handles instructions better and speeds up tasks done together. The processor has a bigger L2 cache per core, cutting data fetch delays. Jobs needing heavy processing, like simulations and data analysis, finish sooner. More power helps teams get more done in less time.

4. Greater Input/Output and Networking Abilities

Graviton 4 instances offer 2× the EBS and network speed compared to older models. Apps manage more data with faster reading and writing. The instances work with Elastic Fabric Adapter (EFA) for quick, high-data networking. This setup aids jobs needing lots of input/output and big systems across many machines. Greater speed ensures smooth, fast performance.

5. Advanced Protection Features

Graviton 4 uses Branch Target Identification and Pointer Authentication to stop common attacks. It locks all high-speed hardware links by default. These defenses stay built into the processor’s core design. Users gain stronger protection without losing speed. Safety forms a core part, not an extra step.

Graviton 3 vs. Graviton 4: What's New?

Feature	Graviton 3	Graviton 4
Cores	64 Neoverse V1	96 Neoverse V2
Clock Speed	2.6 GHz	2.6-3.0 GHz (estimated)
Memory	DDR5-4800, 300 GB/s	DDR5-5600, 75% more speed
Performance	25% better than Graviton 2	30% better than Graviton 3
Best Workloads	HPC, ML prediction, video encoding	Databases, web apps, Java apps
Energy Savings	60% less than x86	Even better savings

Ideal Workloads for Graviton 4-Powered EC2 Instances

1. In-Memory Databases

• Graviton 4 handles up to 3 TiB of DDR5 memory.

• It works with big datasets and low delay.

• High memory-to-vCPU ratio aids parallel query runs.

• It cuts cost per gigabyte for memory-focused apps.

• It suits Redis, Memcached, and SAP HANA.

2. Real-Time Data Analysis

• Strong processing power speeds up data work.

• 160% more memory speed increases data flow.

• It manages complex event processing with ease.

• It supports near real-time dashboards and alerts.

• It fits Apache Spark, Presto, and Flink.

3. Electronic Design Automation (EDA)

• 192 vCPUs allow fast parallel simulations.

• Bigger L2 cache per core cuts access delays.

• It keeps performance steady during processing spikes.

• It works with tools like Cadence, Synopsys, and Siemens EDA.

• It shortens time for chip-checking tasks.

4. High-Performance Web Apps

• It supports Java, Node.js, Python, and Go runtimes.

• Better networking cuts API delay.

• It handles thousands of connections at once.

• It provides better value for apps that scale out.

• It fits microservices and container-based tasks.

5. Machine Learning Prediction

• It gives quick predictions with high data flow.

• It eases memory jams in big model serving.

• It supports TensorFlow Lite and ONNX models.

• It manages batch and real-time prediction tasks.

• It costs less than x86-based instances.

FAQs

1. What Are the Main Changes in Graviton 4 Over Graviton 3?

Graviton 4 brings big updates compared to Graviton 3. It offers up to 192 vCPUs and handles 3 TiB of DDR5 memory. It provides 160% more memory speed. Processing power rises by up to 60%, and input/output speed doubles. These changes help run memory-heavy, processing-intense, and input/output-focused tasks with better results.

2. Which Tasks Gain the Most From Graviton 4-Powered EC2 X8g Instances?

Graviton 4 suits in-memory databases, real-time data analysis, and EDA tasks. It also works well for high-performance web apps, and machine learning prediction. These jobs need lots of memory, strong processing power, and fast input/output. The 16:1 memory-to-vCPU ratio and DDR5 support meet those needs.

3. How Does Graviton 4 Cut Costs for Memory-Heavy Apps?

Graviton 4 provides lowest price per gigabyte of memory across EC2 instance types. It handles high memory needs without extra processing power you don’t need. Teams can run big, memory-focused tasks without overspending, saving on setup costs.

Summary

AWS Graviton 4 makes cloud tasks faster and cheaper for memory-heavy jobs. Here are the main points from this article:

• Higher Memory Speed: DDR5 boosts data flow by 160%.

• Stronger Processing Power: 192 vCPUs give 60% better performance.

• Faster Input/Output: 2× speed improves app response.

• Built-in Protection: BTI and PAC block common attacks.

• Better Value: Lowest price per gigabyte for big-memory tasks.

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[Updated On June 30, 2025]