This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
-
Updated
Apr 20, 2021
#
cloud-gpu
Here are 19 public repositories matching this topic...
🐍 | Python library for RunPod API and serverless worker SDK.
-
Updated
May 5, 2026 - Python
A list of Cloud GPU service providers + their prices on servers, instances, etc.
-
Updated
Sep 26, 2025
Vast.ai python sdk
-
Updated
May 8, 2026 - Python
Run ComfyUI on Modal with auto-scaling, GPU snapshots, and easy model management.
-
Updated
May 10, 2026 - Python
Train a bidirectional or normal LSTM recurrent neural network to generate text on a free GPU using any dataset. Just upload your text file and click run!
-
Updated
Jan 29, 2019 - Python
LTX-Video deployment on Modal — serverless AI video generation with cloud GPU scaling
-
Updated
Mar 24, 2025 - Python
Compare API providers, local GPUs, and cloud for any model
rust cli ai hardware gpu inference model-serving vram cloud-gpu huggingface apple-silicon llm local-llm inference-provider
-
Updated
Mar 10, 2026 - JavaScript
RunPod guardrails for OpenAI Symphony + Linear agents: Codex/Claude Code workers, manifests, artifact proof, cleanup.
cli automation remote-execution linear gpu-computing symphony cost-control codex workflow-automation ai-agents cloud-gpu artifact-management openai-codex runpod anthropic-claude agent-orchestration claude-code ai-agent-workflows openai-symphony runpodctl
-
Updated
May 7, 2026 - Python
Reproducible deep-learning image-classification pipeline for industrial soft sensing. Originally built for sludge-cake quality monitoring at DC Water Blue Plains AWWTP. Six architectures (FastViT, EfficientNet, MobileNet, EfficientFormerV2, DeepTEN-ResNet, sparse-AE CNN) compared with multi-seed statistics on Modal cloud GPUs.
computer-vision deep-learning modal pytorch environmental-engineering image-classification transfer-learning mobilenet cloud-gpu wastewater-treatment efficientnet soft-sensor timm fastvit dc-water
-
Updated
May 10, 2026 - Python
Runnable recipes for fine-tuning, training, and deploying models on VESSL Cloud.
-
Updated
May 8, 2026 - Python
-
Updated
Dec 20, 2024
Conservative CLI planner for LLM fine-tuning method, GPU fit, budget, and SkyPilot configs.
-
Updated
May 10, 2026 - TypeScript
☁️ Cloud GPU platform for AI/ML workloads. Instant access to H100, A100, and RTX GPUs for training and deploying AI models.
hpc artificial-intelligence cloud-computing renewable-energy green-computing cloud-gpu sustainable-ai generative-ai ai-infrastructure
-
Updated
Jul 2, 2025
Cloud GPU Price Comparison 2026 - Real cost testing of 5 GPU cloud providers (GPUhub, RunPod, Vast.ai, Lambda, SaladCloud) for machine learning, deep learning, and AI workloads. Python cost calculator included.
-
Updated
May 2, 2026 - Python
A practical, non-official deployment guide for Isaac Lab + GR00T on cloud GPU instances, based on real-world testing, troubleshooting, and reproducibility notes.
-
Updated
Jan 17, 2026 - Shell
Lightweight toolkit for automating Bittensor miner setup, monitoring, and management on cloud GPUs
linux api devops automation hadoop deployment azure cryptocurrency miner system-administration cloud-gpu bittensor runpod vast-ai
-
Updated
Nov 25, 2025
Advanced digital twin generator using IPAdapter FaceID with batch image embedding averaging, ControlNet integration, and LoRA training for photorealistic avatar creation
python flask ai computer-vision deep-learning lora digital-twin face-id cloud-gpu photorealistic avatar-generation stable-diffusion controlnet ipadapter
-
Updated
Jul 25, 2025 - Python
This is a template repository to finetune LLM with Lambda Cloud
-
Updated
Jul 21, 2025 - Python
Improve this page
Add a description, image, and links to the cloud-gpu topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the cloud-gpu topic, visit your repo's landing page and select "manage topics."