Compare Compute with Hivenet vs. ModelArk

Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.

ModelArk is the central hub for ByteDance’s frontier AI models, offering a comprehensive suite that spans video generation, image editing, multimodal reasoning, and large language models. Users can explore high-performance tools like Seedance 1.0 for cinematic video creation, Seedream 3.0 for 2K image generation, and DeepSeek-V3.1 for deep reasoning with hybrid thinking modes. With 500,000 free inference tokens per LLM and 2 million free tokens for vision models, ModelArk lowers the barrier for innovation while ensuring flexible scalability. Pricing is straightforward and cost-effective, with transparent per-token billing that allows businesses to experiment and scale without financial surprises. The platform emphasizes security-first AI, featuring full-link encryption, sandbox isolation, and controlled, auditable access to safeguard sensitive enterprise data. Beyond raw model access, ModelArk includes PromptPilot for optimization, plug-in integration, knowledge bases, and agent tools to accelerate enterprise AI development. Its cloud GPU resource pools allow organizations to scale from a single endpoint to thousands of GPUs within minutes. Designed to empower growth, ModelArk combines technical innovation, operational trust, and enterprise scalability in one seamless ecosystem.