Amazon EC2 G4 Instances
The industry’s most cost-effective GPU instance for machine learning inference and graphics-intensive applications
Amazon EC2 G4 instances deliver the industry’s most cost-effective and versatile GPU instance for deploying machine learning models in production and graphics-intensive applications. G4 instances provide the latest generation NVIDIA T4 GPUs, AWS custom Intel Cascade Lake CPUs, up to 100 Gbps of networking throughput, and up to 1.8 TB of local NVMe storage. G4 instances are offered in different instance sizes with access to one GPU or multiple GPUs with different amounts of vCPU and memory - giving you the flexibility to pick the right instance size for your applications.
G4 instances are optimized for machine learning application deployments (inference), such as image classification, object detection, recommendation engines, automated speech recognition, and language translation that push the boundary on AI-innovation and latency.
These instances also bring high performance to graphics-intensive applications, such as remote graphics workstations, video transcoding and game streaming in the cloud. With access to NVIDIA Quadro Workstations at no additional cost, G4 instances are the most cost-effective cloud platform for virtual workstations.
Increase performance and reduce machine learning inference costs
G4 instances are equipped with NVIDIA T4 GPUs which deliver up to 40X better low-latency throughput than CPUs, so more requests can be served in real time. Also, G4 instances are optimized to be cost-effective for machine learning inference, which can represent up to 90% of overall operational costs for machine learning initiatives.
Cost-effective small scale training
G4 instances are also useful for small-scale/entry-level machine learning training jobs for those businesses or institutions that are less sensitive to time-to-train. G4 instances deliver up to 65 TFLOPs of FP16 performance and are a compelling solution for small-scale training jobs.
High performance graphics
Graphics applications using G4 instances have been shown to have an up to 1.8X increase in graphics performance and up to 2X video transcoding capability over the previous generation Amazon G3 instances. The NVIDIA T4 GPU can also be used for graphics applications and 3D rendering with support for the latest APIs: DirectX 12, OpenGL 4.6, OpenCL 2.2, CUDA 10.1, and Microsoft DXR, as well as mainstream codecs like VP9 and H.265 (HEVC).
SIMPLIFIED MANAGEMENT OF VIRTUAL WORKSTATIONS AT THE LOWEST COST IN THE CLOUD
AWS offers the same Quadro experience trusted by millions of professional designers and artists to the cloud with G4 instances at no additional cost. With NVIDIA Quadro vWS, customers can configure virtual workstations with high-performance simulation, rendering, and design capabilities with support for up to four 4K monitors.
Choice of configurations
G4 instances come in several configurations offering up to 64 vCPUs, up to 4 NVIDIA T4 GPUs, and up to 256 GB of host memory so that you can right size your instance. A bare metal instance is also available that offers 96 vCPUs, 8 NVIDIA T4 GPUs, and 384 GB of host memory.
Local Instance Storage
G4 instances offer up to 900 GB of local NVMe storage for fast data access, enabling customers to efficiently create photo-realistic and high-resolution 3D content for movies, games, and AR/VR experiences. The G4 bare metal instance offers 1.8 TB of local NVMe storage.
Up to 100 Gbps Networking
G4 instances offer up to 50 Gbps of networking throughput to remove data transfer bottlenecks. The G4 bare metal instance offers 100 Gbps of networking throughput.
GRID and Gaming Drivers
G4 instances offer NVIDIA GRID and Gaming drivers to customers at no additional cost. GRID drivers can be used to provide the best virtual workstation for a wide range of visually intensive workflows. The Gaming driver provides unparalleled graphics and compute support for game development.
Machine Learning Inference
The cost of ML inference can represent up to 90% of overall operational costs. G4 instances are an ideal solution for businesses or institutions looking for a more cost-effective platform for ML inference as well as a solution for machine learning inference applications that need direct access to GPU libraries such as, CUDA, CuDNN, and TensorRT.
Remote Graphics Workstations
Customers looking to use remote workstations in the cloud for running graphics applications, such as ESRI ArcGIS Pro, Autodesk Revit, Autodesk Maya or 3D Studio Max, can use G4 instances with NVIDIA Quadro Virtual Workstations to give them flexibility to provision resources on a per-project basis and not be limited by availability of on-premises hardware.
Media and Entertainment
G4 instances can be used for post-production and video playout/broadcast as well as video encoding and transcoding. In addition, G4 instances can support AR/VR applications. Quadro vWS supports RTX-enabled applications, for powerful rendering, AI-enhanced denoising, and photorealistic design. The real-time ray-traced rendering enabled by Quadro vWS can speed creative workflows.
Nearmap was founded in Perth, Australia, in 2007 and has grown from a small startup to a leader in digital imaging. The company specializes in creating 2D and 3D images from aerial photos of landscapes, a valuable resource for a wide variety of industries. For Nearmap, the impact of upgrading to Amazon EC2 G4 instances was immediate and profound: the company was able to run three times as much data for the same cost as on Amazon EC2 G2 instances, in a process that felt effortless and whose integration felt seamless with the AWS tools it was already using.
“Our customers rely on us to deliver highly accurate 3D Reality Models computed from multi-angle aerial photography across massive coverage areas. We use around 870 thousand GPU cores per day. We used to run this pipeline on Amazon EC2 G2 instances but switched to Amazon EC2 G4 instances and reduced our costs by 67%.”
– John Corbett, Director of Vision Systems
"At PureWeb, we strive to provide the world's best platform for real-time streaming of interactive content for enterprises. So when the Geneva International Motor Show was cancelled due to COVID-19, Volkswagen reached out to us with the innovative solution of providing a virtual showroom experience for their customers to adapt to this cancellation. By working closely with AWS, as well as our creative agency partners, we were able to get a virtual replica of the showroom, created in the Unity Game Engine, running on our platform using Amazon EC2 G4dn instances in just three weeks. As a result, thousands of users were able to enjoy the Volkswagen booth of the Geneva Motor Show from home. Given both the time and technical constraints on the project, we are confident that AWS is the only cloud provider that could have helped us get the job done, and serve up a user experience that is stable, scalable, cost-effective, and truly global."
– Chris Jarabek, Senior Software Architect at PureWeb
|Instance Size||vCPUs||Memory (GB)||GPU||Storage (GB)||Network Bandwidth (Gbps)||EBS Bandwidth (GBps)||On-Demand Price/hr*||1-yr Reserved Instance Effective Hourly* (Linux)||3-yr Reserved Instance Effective Hourly* (Linux)|
|Single GPU VMs||g4dn.xlarge||4||16||1||125||Up to 25||Up to 3.5||$0.526||$0.316||$0.210|
|g4dn.2xlarge||8||32||1||225||Up to 25||Up to 3.5||$0.752||$0.452||$0.300|
|g4dn.4xlarge||16||64||1||225||Up to 25||4.75||$1.204||$0.722||$0.482|
|Multi GPU VMs||g4dn.12xlarge||48||192||4||1x900||50||9.5||$3.912||$2.348||$1.564|
* Prices shown are for US East (Northern Virginia) AWS Region. Prices for 1-year and 3-year reserved instances are for "Partial Upfront" payment options or "No Upfront" for instances without the Partial Upfront option.
Amazon EC2 G4 instances are available in the US East (N. Virginia and Ohio), US West (Oregon and N. California), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, and Stockholm), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, and Tokyo), South America (São Paulo), and GovCloud (US-East, US-West) AWS Regions as On-Demand, Reserved, or Spot Instances.
Get Started with G4 Instances
AWS Deep Learning AMIs and Deep Learning Containers
Amazon Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale. You can quickly launch Amazon EC2 instances pre-installed with popular deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, customer AI models, experiment with new algorithms, or to learn new skills and techniques. To learn more, visit the Amazon Deep Learning AMIs product page.
AWS Deep Learning Containers are Docker images pre-installed with deep learning frameworks to make it easy to deploy customer machine learning environments quickly by letting you skip the complicated process of building and optimizing your environments from scratch. AWS DL Containers support TensorFlow and Apache MXNet, with PyTorch and other deep learning frameworks coming soon. To learn more, visit the AWS Deep Learning Containers product page.
NVIDIA Quadro Virtual Workstation and Gaming AMIs
NVIDIA Quadro Virtual Workstation AMIs provide the same Quadro experience trusted by millions of professional designers and artists, powering high-performance simulation, rendering, and design. These AMIs contain optimizations that will improve the perfomance of many pro-viz apps. These AMIs support running up to four 4K displays on a per GPU basis. To find these AMIs, use this link: NVIDIA Quadro vWS Marketplace offerings.
NVIDIA Gaming AMIs allow customers to enjoy state-of-the-art GPU-powered gaming played anywhere with unparalleled graphics and compute support. Game developers can take advantage of next generation computer graphics with optimizations and accelerations built in for the best performance. These AMIs render videos at 60 FPS and support running a single 4K display on a per GPU basis. To find these AMIs, use this link: NVIDIA Gaming Marketplace offerings.
NVIDIA Tesla, GRID, and Gaming Drivers
The NVIDIA Tesla drivers provide the best performance for highly intensive computational workloads often found in Deep Learning, Data Science, and HPC.
NVIDIA GRID drivers can be used to enable NVIDIA Quadro Virtual Workstation software. Quadro vWS provides the best performance for professional visualization applications. This driver offers support for up to four 4K displays on a per GPU basis.
NVIDIA Gaming drivers support the world's most advanced graphics cards, gaming solutions, and gaming technology. This driver offers support for a single 4K display on a per GPU basis.