How to Use Hyperstack: Complete On-Demand GPU Cloud Platform Tutorial

Hyperstack · Beginner ·📊 Data Analytics & Business Intelligence ·2w ago

About this lesson

Learn how to use the Hyperstack On-Demand GPU cloud platform. This is the complete tutorial covering every major feature on the platform, all in one video. 👉 Start building on Hyperstack: https://console.hyperstack.cloud Whether you're spinning up your first GPU virtual machine, deploying a Kubernetes cluster or running AI models on cloud GPUs for the first time, this walkthrough covers it all. No prior experience needed. We go hands-on through the entire platform: account setup and billing, choosing the right GPU flavour for your workload, deploying a VM and SSHing into it, configuring keypairs and firewall rules, object storage, on-demand Kubernetes clusters, deploying AI models and using VM hibernation to keep costs under control. 00:00 - Introduction 00:07 - Logging In & Account Setup 00:21 - Dashboard Overview (Themes, Wallet, Resources) 01:00 - Platform Features Overview 01:33 - Deploying a Virtual Machine 02:47 - VM Setup: Region, OS & SSH Keys 04:24 - Managing Your VM (Stop, Reboot, Hibernate) 04:48 - Deploying a Kubernetes Cluster 05:35 - GPU Clusters 06:14 - Object Storage & Buckets 07:58 - Volume Storage 08:42 - Advanced Customisation (Environments & Firewall) 08:58 - VM Snapshots 09:17 - AI Studio: Models Overview 10:23 - Importing Models from Hugging Face 10:50 - Fine-Tuning a Model 12:16 - Training Metrics 12:39 - Model Evaluation (Benchmark & Custom) 13:33 - Model Aliases & Ranking 14:08 - Playground & API 15:04 - Conclusion By the end of this video, you'll know exactly how to deploy and manage GPU infrastructure on Hyperstack. Get ready to run training, fine-tuning and inference workloads in minutes. Full documentation: https://docs.hyperstack.cloud/docs/getting-started Talk to the team: https://www.hyperstack.cloud/contact If this helped, hit like, subscribe and share. We publish GPU cloud and LLM deployment tutorials. Got a suggestion for our next video? Drop it in the comments, we'd love to know what you want to see next! #Hyperstack #GP

Original Description

Learn how to use the Hyperstack On-Demand GPU cloud platform. This is the complete tutorial covering every major feature on the platform, all in one video. 👉 Start building on Hyperstack: https://console.hyperstack.cloud Whether you're spinning up your first GPU virtual machine, deploying a Kubernetes cluster or running AI models on cloud GPUs for the first time, this walkthrough covers it all. No prior experience needed. We go hands-on through the entire platform: account setup and billing, choosing the right GPU flavour for your workload, deploying a VM and SSHing into it, configuring keypairs and firewall rules, object storage, on-demand Kubernetes clusters, deploying AI models and using VM hibernation to keep costs under control. 00:00 - Introduction 00:07 - Logging In & Account Setup 00:21 - Dashboard Overview (Themes, Wallet, Resources) 01:00 - Platform Features Overview 01:33 - Deploying a Virtual Machine 02:47 - VM Setup: Region, OS & SSH Keys 04:24 - Managing Your VM (Stop, Reboot, Hibernate) 04:48 - Deploying a Kubernetes Cluster 05:35 - GPU Clusters 06:14 - Object Storage & Buckets 07:58 - Volume Storage 08:42 - Advanced Customisation (Environments & Firewall) 08:58 - VM Snapshots 09:17 - AI Studio: Models Overview 10:23 - Importing Models from Hugging Face 10:50 - Fine-Tuning a Model 12:16 - Training Metrics 12:39 - Model Evaluation (Benchmark & Custom) 13:33 - Model Aliases & Ranking 14:08 - Playground & API 15:04 - Conclusion By the end of this video, you'll know exactly how to deploy and manage GPU infrastructure on Hyperstack. Get ready to run training, fine-tuning and inference workloads in minutes. Full documentation: https://docs.hyperstack.cloud/docs/getting-started Talk to the team: https://www.hyperstack.cloud/contact If this helped, hit like, subscribe and share. We publish GPU cloud and LLM deployment tutorials. Got a suggestion for our next video? Drop it in the comments, we'd love to know what you want to see next! #Hyperstack #GP
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

⚡
The Attention Economy: Your Attention Is Worth More Than Gold
Learn how the attention economy works and why your focus is a valuable resource in the digital age
Medium · Data Science
 ⚡
What I Learned Building a Tableau Dashboard for Deloitte’s Data Analytics Simulation
Learn how to build a Tableau dashboard for data analytics by exploring a real-world project for Deloitte's simulation, focusing on machine downtime and pay equity
Medium · Data Science
 ⚡
Six Months, 9,541 Restaurant Development Records, and What the Data Actually Says
Analyzing 9,541 restaurant development records reveals insights into the industry, showing what the data actually says about trends and patterns
Medium · Data Science
 ⚡
CRM Analitiği ile Müşteri Değerini Anlamak: RFM, CLTV ve Predictive CLTV Rehberi
Learn how to use CRM analytics to understand customer value with RFM, CLTV, and Predictive CLTV
Medium · Data Science

Chapters (21)

Introduction
0:07 Logging In & Account Setup
0:21 Dashboard Overview (Themes, Wallet, Resources)
1:00 Platform Features Overview
1:33 Deploying a Virtual Machine
2:47 VM Setup: Region, OS & SSH Keys
4:24 Managing Your VM (Stop, Reboot, Hibernate)
4:48 Deploying a Kubernetes Cluster
5:35 GPU Clusters
6:14 Object Storage & Buckets
7:58 Volume Storage
8:42 Advanced Customisation (Environments & Firewall)
8:58 VM Snapshots
9:17 AI Studio: Models Overview
10:23 Importing Models from Hugging Face
10:50 Fine-Tuning a Model
12:16 Training Metrics
12:39 Model Evaluation (Benchmark & Custom)
13:33 Model Aliases & Ranking
14:08 Playground & API
15:04 Conclusion
Up next
Salesforce Flow New Features (Summer '26) | Open Record, URL & Show Toast Messages
AITECHONE
Watch →