6 days ago - They provide up to 8 NVIDIA T4 GPUs, 96 vCPUs, 100 Gbps networking, and 1.8 TB local NVMe-based SSD storage and are also available as bare metal instances. G4dn instances are equipped with NVIDIA T4 GPUs which deliver up to 40X better low-latency throughput than CPUs, so more requests can be ...

The g4dn.xlarge instance is in the GPU instance family with 4 vCPUs, 16 GiB of memory and up to 25 Gibps of bandwidth starting at $0.526 per hour.

November 3, 2022 - The instances are equipped with up to four NVIDIA T4 Tensor Core GPUs, each with 320 Turing Tensor cores, 2,560 CUDA cores, and 16 GB of memory. The T4 GPUs are ideal for machine learning inferencing, computer vision, video processing, and real-time ...

The g4dn.2xlarge instance is in the GPU instance family with 8 vCPUs, 32 GiB of memory and up to 25 Gibps of bandwidth starting at $0.752 per hour.

August 21, 2022 - AWS offers the G4dn Instance based on NVIDIA T4 GPUs, and describes G4dn as “the lowest cost GPU-based instances in the cloud for machine learning inference and small scale training.”

The g4dn.xlarge instance is part of the g4dn series, featuring 4 vCPUs and Up to 25 Gigabit of RAM, with Gpu Instances.

April 10, 2025 - Amazon G4dn instances provide the latest generation NVIDIA T4 Tensor Core GPUs, AWS custom second generation Intel® Xeon® Scalable (Cascade Lake) processors, up to 100 Gbps of networking throughput, and up to 1.8 TB of local NVMe storage.

The g4dn.12xlarge instance is in the GPU instance family with 48 vCPUs, 192 GiB of memory and 50 Gibps of bandwidth starting at $3.912 per hour.

Amazon EC2 instance g4dn.xlarge with 4 vCPUs, 16 GiB RAM and 1 x NVIDIA T4 16 GiB. Available in 23 regions starting from $383.98 per month.

October 7, 2024 - Using AWS g4dn.xlarge EC2 Instance with Nvidia Tesla T4 GPU for High-Quality Rendering, Cloud Gaming and Machine Learning.

They come with the NVIDIA T4 Tensor Core GPU that features multi-precision Turing Tensor Cores and RT Cores, AWS custom second generation Intel® Xeon® Scalable (Cascade Lake) processors, and the local NVMe storage designed for applications that require fast access to locally stored data.

The g4dn.8xlarge instance is part of the g4dn series, featuring 32 vCPUs and 50 Gigabit of RAM, with Gpu Instances.

Within the accelerated computing instances, two families consist of GPU-based instances, the G and P families. The P family was the first of the accelerated computing instances and was designed for general-purpose GPU compute tasks. The family has since evolved and has become widely adopted for ML workloads, with AI companies, like Anthropic and Cohere, using P family instances.

The g4dn.metal instance is part of the g4dn series, featuring 96 vCPUs and 100 Gigabit of RAM, with Gpu Instances.

The g4dn.2xlarge instance is part of the g4dn series, featuring 8 vCPUs and Up to 25 Gigabit of RAM, with Gpu Instances.

Amazon EC2 G4 instances are the industry’s most cost-effective and versatile GPU instances for deploying machine learning models such as image classification, object detection, and speech recognition, and for graphics-intensive applications such as remote graphics workstations, game streaming, and graphics rendering. G4 instances are available with a choice of NVIDIA GPUs (G4dn) or AMD GPUs (G4ad).

The g4dn.4xlarge instance is in the GPU instance family with 16 vCPUs, 64 GiB of memory and up to 25 Gibps of bandwidth starting at $1.204 per hour.

Amazon EC2 G4 instances are the industry’s most cost-effective and versatile GPU instances for deploying machine learning models such as image classification, object detection, and speech recognition, and for graphics-intensive applications such as remote graphics workstations, game streaming, and graphics rendering. G4 instances are available with a choice of NVIDIA GPUs (G4dn) or AMD GPUs (G4ad).

March 13, 2025 - G4 instances are a cost-effective solution for businesses that require moderate GPU power without needing the highest performance levels. They are best suited for applications that require cost-effective GPU-powered instances.