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Description
Mistral Compute is a specialized AI infrastructure platform that provides a comprehensive, private stack including GPUs, orchestration, APIs, products, and services, available in various configurations from bare-metal servers to fully managed PaaS solutions. Its mission is to broaden access to advanced AI technologies beyond just a few providers, enabling governments, businesses, and research organizations to design, control, and enhance their complete AI landscape while training and running diverse workloads on an extensive array of NVIDIA-powered GPUs, all backed by reference architectures crafted by experts in high-performance computing. This platform caters to specific regional and sectoral needs, such as defense technology, pharmaceutical research, and financial services, and incorporates four years of operational insights along with a commitment to sustainability through decarbonized energy sources, ensuring adherence to strict European data-sovereignty laws. Additionally, Mistral Compute’s design not only prioritizes performance but also fosters innovation by allowing users to scale and customize their AI applications as their requirements evolve.
Description
SF Compute serves as a marketplace platform providing on-demand access to extensive GPU clusters, enabling users to rent high-performance computing resources by the hour without the need for long-term commitments or hefty upfront investments. Users have the flexibility to select either virtual machine nodes or Kubernetes clusters equipped with InfiniBand for rapid data transfer, allowing them to determine the number of GPUs, desired duration, and start time according to their specific requirements. The platform offers adaptable "buy blocks" of computing power; for instance, clients can request a set of 256 NVIDIA H100 GPUs for a three-day period at a predetermined hourly price, or they can adjust their resource allocation depending on their budgetary constraints. When it comes to Kubernetes clusters, deployment is incredibly swift, taking approximately half a second, while virtual machines require around five minutes to become operational. Furthermore, SF Compute includes substantial storage options, featuring over 1.5 TB of NVMe and upwards of 1 TB of RAM, and notably, there are no fees for data transfers in or out, meaning users incur no costs for data movement. The underlying architecture of SF Compute effectively conceals the physical infrastructure, leveraging a real-time spot market and a dynamic scheduling system to optimize resource allocation. This setup not only enhances usability but also maximizes efficiency for users looking to scale their computing needs.
API Access
Has API
API Access
Has API
Integrations
NVIDIA virtual GPU
Kubernetes
Liquid AI
Mistral AI
Mistral Forge
Phind
VMware Cloud
Integrations
NVIDIA virtual GPU
Kubernetes
Liquid AI
Mistral AI
Mistral Forge
Phind
VMware Cloud
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1.48 per hour
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
Mistral
Founded
2023
Country
France
Website
mistral.ai/news/mistral-compute
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com
