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

Hyperstack · Beginner ·📊 Data Analytics & Business Intelligence ·3w 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
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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
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