Heabsy vs. Runpod Comparison


Heabsy	Runpod	+	+
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About OpenAI- and Anthropic-compatible inference API from an EU company. The flagship model runs on dedicated GPUs in EIA data centres with zero data retention: prompts and completions are processed in memory only, not stored, not logged, not used for training. Routed open models from third-party providers are available with the same key and clearly labelled. One DPA and one invoice from an EU company. Features: streaming, tool calling, structured output, public DPA and sub-processor list, per-token pricing. Measured on the live system in August 2026: 176 tokens per second per stream, first token in 0.3 seconds.		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 Companies that need LLM inference under EU data-protection requirements; developers of AI agents and RAG applications		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 No images available		Screenshots and Videos View more images or videos
Pricing $0.04 per 1M input tokens Free Version Supported Free Trial Not 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 Heabsy Founded: 2014 Slovakia heabsy.com		Company Information Runpod Founded: 2022 United States www.runpod.io
Alternatives Deep Infra		Alternatives IONOS Cloud GPU Servers IONOS
Together AI		Compute with Hivenet Hivenet
OpenRouter		DigitalOcean
Gemini Enterprise Agent Platform Google		Gemini Enterprise Agent Platform Google
Macyou Macyou LLC View All		Intel Tiber AI Cloud Intel View All
Categories AI Inference Supported LLM API 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 Amazon Web Services (AWS) Not Supported Axolotl Not Supported DeepSeek Coder Not Supported DeepSeek R1 Not Supported Dropbox Not Supported EXAONE Not Supported Google Cloud Platform Not Supported Google Drive Not Supported Hermes 3 Not Supported Llama 3 Not Supported Llama 3.2 Not Supported Microsoft Azure Not Supported Mistral 7B Not Supported Phi-2 Not Supported Phi-3 Not Supported Qwen2.5 Not Supported Qwen3 Not Supported ReinforceNow Not Supported SmolLM2 Not Supported Workers by Delos Not Supported Show More Integrations		Integrations Amazon Web Services (AWS) Supported Axolotl Supported DeepSeek Coder Supported DeepSeek R1 Supported Dropbox Supported EXAONE Supported Google Cloud Platform Supported Google Drive Supported Hermes 3 Supported Llama 3 Supported Llama 3.2 Supported Microsoft Azure Supported Mistral 7B Supported Phi-2 Supported Phi-3 Supported Qwen2.5 Supported Qwen3 Supported ReinforceNow Supported SmolLM2 Supported Workers by Delos Supported Show More Integrations View All 31 Integrations
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