Nscale vs. Runpod Comparison


Nscale	Runpod	+	+
Learn More Update Features	Visit Website	Add To Compare	Add To Compare



About Nscale is the Hyperscaler engineered for AI, offering high-performance computing optimized for training, fine-tuning, and intensive workloads. From our data centers to our software stack, we are vertically integrated in Europe to provide unparalleled performance, efficiency, and sustainability. Access thousands of GPUs tailored to your requirements using our AI cloud platform. Reduce costs, grow revenue, and run your AI workloads more efficiently on a fully integrated platform. Whether you're using Nscale's built-in AI/ML tools or your own, our platform is designed to simplify the journey from development to production. The Nscale Marketplace offers users access to various AI/ML tools and resources, enabling efficient and scalable model development and deployment. Serverless allows seamless, scalable AI inference without the need to manage infrastructure. It automatically scales to meet demand, ensuring low latency and cost-effective inference for popular generative AI models.		About Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.
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 Engineers and companies in search of a solution to access thousands of GPUs tailored to their requirements		Audience Runpod is designed for AI developers, data scientists, and organizations looking for a scalable, flexible, and cost-effective solution to run machine learning models, offering on-demand GPU resources with minimal setup time
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported		Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported		API Offers API Supported
Screenshots and Videos View more images or videos		Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Supported		Pricing $0.40 per hour Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software		Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
		Pros from Real Users Pros As an AI developer using Runpod for a few months now: it’s been a great platform for training and deploying my models. The ability to launch GPU pods so quickly has made a huge difference in my workflow. Cold-start times are almost instantaneous, which means I spend less time waiting and more time experimenting and iterating on my AI projects. Runpod offers a wide range of GPU options, from NVIDIA’s latest H100s to AMD MI300Xs, which covers everything I need for both research-level experiments and larger scale training jobs. The support for custom containers is excellent, so I can bring my own environment or use the many preconfigured templates. The autoscaling serverless infrastructure adapts perfectly to varying workloads, and the real-time logs and analytics help me understand how my models are performing in production. Security and compliance, including SOC2 certification, give me peace of mind when deploying sensitive models.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported		Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Nscale Founded: 2024 Norway www.nscale.com		Company Information Runpod Founded: 2022 United States www.runpod.io
Alternatives Fluidstack		Alternatives IONOS Cloud GPU Servers IONOS
Together AI		Compute with Hivenet Hivenet
Baseten		DigitalOcean
NetMind AI		Gemini Enterprise Agent Platform Google
GreenNode View All		Intel Tiber AI Cloud Intel View All
Categories AI Cloud Providers Supported AI Inference Supported AI Infrastructure Supported Cloud GPU Supported		Categories AI Cloud Providers Supported AI Development Supported AI Fine-Tuning Supported AI Inference Supported AI Infrastructure Supported AI/ML Model Training Supported Auto Scaling Supported Cloud GPU Supported Function as a Service (FaaS) Supported Infrastructure-as-a-Service (IaaS) Supported LLM API Supported Machine Learning Supported ML Model Deployment Supported Serverless Supported

Integrations Axolotl Not Supported Codestral Not Supported DeepSeek Coder Not Supported DeepSeek R1 Not Supported Docker Not Supported Dropbox Not Supported EXAONE Not Supported Google Drive Not Supported Hermes 3 Not Supported IBM Granite Not Supported Llama 2 Not Supported Llama 3 Not Supported Llama 3.1 Not Supported Llama 3.2 Not Supported Microsoft Azure Not Supported Mistral AI Not Supported NVIDIA DGX Cloud Lepton Supported Phi-4 Not Supported TensorFlow Not Supported TinyLlama Not Supported Show More Integrations View All 1 Integration		Integrations Axolotl Supported Codestral Supported DeepSeek Coder Supported DeepSeek R1 Supported Docker Supported Dropbox Supported EXAONE Supported Google Drive Supported Hermes 3 Supported IBM Granite Supported Llama 2 Supported Llama 3 Supported Llama 3.1 Supported Llama 3.2 Supported Microsoft Azure Supported Mistral AI Supported NVIDIA DGX Cloud Lepton Not Supported Phi-4 Supported TensorFlow Supported TinyLlama Supported Show More Integrations View All 31 Integrations
Claim Nscale and update features and information Claim Nscale and update features and information