Related Products
|
||||||
About
Fluidstack is an AI infrastructure platform designed to provide high-performance compute resources for advanced workloads. It offers dedicated GPU clusters that are fully isolated and optimized for large-scale AI training and inference. The platform includes Atlas OS, a bare-metal operating system built to enable fast provisioning and efficient orchestration of AI infrastructure. Fluidstack also provides Lighthouse, a monitoring and optimization tool that ensures reliability and performance across workloads. Its infrastructure is designed for speed, scalability, and secure operations, with single-tenant environments by default. The platform supports enterprises, AI labs, and governments that require high-performance computing capabilities. Fluidstack emphasizes rapid deployment, enabling teams to access GPU resources quickly when needed. Overall, it delivers a powerful and secure solution for running AI workloads at scale.
|
About
Parasail is an AI deployment network offering scalable, cost-efficient access to high-performance GPUs for AI workloads. It provides three primary services, serverless endpoints for real-time inference, Dedicated instances for private model deployments, and Batch processing for large-scale tasks. Users can deploy open source models like DeepSeek R1, LLaMA, and Qwen, or bring their own, with the platform's permutation engine matching workloads to optimal hardware, including NVIDIA's H100, H200, A100, and 4090 GPUs. Parasail emphasizes rapid deployment, with the ability to scale from a single GPU to clusters within minutes, and offers significant cost savings, claiming up to 30x cheaper compute compared to legacy cloud providers. It supports day-zero availability for new models and provides a self-service interface without long-term contracts or vendor lock-in.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Fluidstack is ideal for AI labs, enterprises, and government organizations that need scalable, high-performance GPU infrastructure for large-scale AI and machine learning workloads
|
Audience
AI infrastructure engineers seeking a solution to deploy and manage AI models efficiently across various workloads
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$0.80 per million tokens
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationFluidstack
Founded: 2017
United States
www.fluidstack.io
|
Company InformationParasail
Founded: 2023
United States
www.parasail.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Amazon Web Services (AWS)
Supported
CoreWeave
Supported
DeepSeek R1
Not Supported
Gemma 3
Not Supported
Gemma 4
Not Supported
Google Cloud Platform
Supported
Kubernetes
Supported
Llama
Not Supported
Microsoft Azure
Supported
Mistral Small 3.1
Not Supported
|
Integrations
Amazon Web Services (AWS)
Not Supported
CoreWeave
Not Supported
DeepSeek R1
Supported
Gemma 3
Supported
Gemma 4
Supported
Google Cloud Platform
Not Supported
Kubernetes
Not Supported
Llama
Supported
Microsoft Azure
Not Supported
Mistral Small 3.1
Supported
|
|||||
|
|
|