Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Amazon's Elastic Compute Cloud (EC2) offers P5 instances that utilize NVIDIA H100 Tensor Core GPUs, alongside P5e and P5en instances featuring NVIDIA H200 Tensor Core GPUs, ensuring unmatched performance for deep learning and high-performance computing tasks. With these advanced instances, you can reduce the time to achieve results by as much as four times compared to earlier GPU-based EC2 offerings, while also cutting ML model training costs by up to 40%. This capability enables faster iteration on solutions, allowing businesses to reach the market more efficiently. P5, P5e, and P5en instances are ideal for training and deploying sophisticated large language models and diffusion models that drive the most intensive generative AI applications, which encompass areas like question-answering, code generation, video and image creation, and speech recognition. Furthermore, these instances can also support large-scale deployment of high-performance computing applications, facilitating advancements in fields such as pharmaceutical discovery, ultimately transforming how research and development are conducted in the industry.

Description

Sesterce is a leading provider of cloud-based GPU services for AI and machine learning, designed to power the most demanding applications across industries. From AI-driven drug discovery to fraud detection in finance, Sesterce’s platform offers both virtualized and dedicated GPU clusters, making it easy to scale AI projects. With dynamic storage, real-time data processing, and advanced pipeline acceleration, Sesterce is perfect for organizations looking to optimize ML workflows. Its pricing model and infrastructure support make it an ideal solution for businesses seeking performance at scale.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

PyTorch Yes 
TensorFlow Yes 
AWS Trainium Yes 
Amazon EC2 Yes 
Amazon EC2 Capacity Blocks for ML Yes 
Amazon EC2 G5 Instances Yes 
Amazon EC2 Trn1 Instances Yes 
Amazon EC2 Trn2 Instances Yes 
Amazon Elastic Container Service (Amazon ECS) Yes 
Amazon FSx Yes 
Amazon S3 Yes 
Amazon SageMaker Yes 
Ansible No 
DeepSeek No 
Mistral 7B No 
NVIDIA AI Enterprise No 
Prometheus No 
Qwen-7B No 
Qwen2.5 No 
Qwen2.5-Coder No 

Integrations

PyTorch Yes 
TensorFlow Yes 
AWS Trainium No 
Amazon EC2 No 
Amazon EC2 Capacity Blocks for ML No 
Amazon EC2 G5 Instances No 
Amazon EC2 Trn1 Instances No 
Amazon EC2 Trn2 Instances No 
Amazon Elastic Container Service (Amazon ECS) No 
Amazon FSx No 
Amazon S3 No 
Amazon SageMaker No 
Ansible Yes 
DeepSeek Yes 
Mistral 7B Yes 
NVIDIA AI Enterprise Yes 
Prometheus Yes 
Qwen-7B Yes 
Qwen2.5 Yes 
Qwen2.5-Coder Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.30/GPU/hr
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/ec2/instance-types/p5/

Vendor Details

Company Name

Sesterce

Founded

2019

Country

France

Website

www.sesterce.com

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

HPC

Alternatives

Alternatives