Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon EC2 G4 instances are specifically designed to enhance the performance of machine learning inference and applications that require high graphics capabilities. Users can select between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) according to their requirements. The G4dn instances combine NVIDIA T4 GPUs with bespoke Intel Cascade Lake CPUs, ensuring an optimal mix of computational power, memory, and networking bandwidth. These instances are well-suited for tasks such as deploying machine learning models, video transcoding, game streaming, and rendering graphics. On the other hand, G4ad instances, equipped with AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, offer a budget-friendly option for handling graphics-intensive workloads. Both instance types utilize Amazon Elastic Inference, which permits users to add economical GPU-powered inference acceleration to Amazon EC2, thereby lowering costs associated with deep learning inference. They come in a range of sizes tailored to meet diverse performance demands and seamlessly integrate with various AWS services, including Amazon SageMaker, Amazon ECS, and Amazon EKS. Additionally, this versatility makes G4 instances an attractive choice for organizations looking to leverage cloud-based machine learning and graphics processing capabilities.
Description
Targon offers a secure cloud computing environment designed for efficiently scaling AI workloads with high-speed GPUs and CPUs suitable for training and deployment purposes. With a user-friendly API, SDK, and CLI, it simplifies the management of various workloads, including rentals, serverless applications, persistent volumes, web endpoints, and inference of large language models. At its core, Targon leverages confidential computing principles without compromise, utilizing a decentralized network of trusted execution environments to enhance security. The Targon Virtual Machine maintains data confidentiality through hardware-backed protection powered by Intel TDX, while NVIDIA's Confidential Computing and PCIe Confidentiality technologies safeguard data even on untrusted hardware. Users can choose to deploy confidential compute environments, establish connections to GPU servers with configured SSH keys, or leverage serverless containers that intelligently auto-scale in response to user traffic demands. This flexibility allows organizations to tailor their computing resources to meet fluctuating needs while ensuring stringent security measures are upheld.
API Access
Has API
API Access
Has API
Integrations
AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
Bittensor
CUDA
Google Cloud Platform
OpenGL
Integrations
AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
Bittensor
CUDA
Google Cloud Platform
OpenGL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/instance-types/g4/
Vendor Details
Company Name
Manifold Labs
Country
United States
Website
targon.com
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization