Compute with Hivenet vs. SiliconFlow Comparison


Compute with Hivenet Hivenet	SiliconFlow	+	+
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It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput. 45,340 Ratings Visit Website Google Compute Engine Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts. 1,169 Ratings Visit Website Servers.com by Nexcess Servers.com by Nexcess provides hybrid bare metal cloud infrastructure designed to help businesses scale, customize, and manage their server environments from a unified platform. The company offers a range of solutions including Scalable Bare Metal, Enterprise Bare Metal, AI Compute, and Managed Kubernetes to support diverse workload requirements. Its global network of strategically located data centers helps organizations reduce latency and improve performance for users around the world. 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About 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 hivenet compute.	About SiliconFlow is a high-performance, developer-focused AI infrastructure platform offering a unified and scalable solution for running, fine-tuning, and deploying both language and multimodal models. It provides fast, reliable inference across open source and commercial models, thanks to blazing speed, low latency, and high throughput, with flexible options such as serverless endpoints, dedicated compute, or private cloud deployments. Platform capabilities include one-stop inference, fine-tuning pipelines, and reserved GPU access, all delivered via an OpenAI-compatible API and complete with built-in observability, monitoring, and cost-efficient smart scaling. For diffusion-based tasks, SiliconFlow offers the open source OneDiff acceleration library, while its BizyAir runtime supports scalable multimodal workloads. Designed for enterprise-grade stability, it includes features like BYOC (Bring Your Own Cloud), robust security, and real-time metrics.
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 AI teams, ML engineers, researchers and startups that want GPUs without hyperscaler pricing or lock-in, especially teams that need to keep data in Europe.	Audience Developers and AI teams seeking a solution to easily run, manage, and scale language and multimodal models in production
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 € 0.07 p/h Free Version Not Supported Free Trial Not Supported	Pricing $0.04 per image Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 4.5 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	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
Pros & Cons from Real Users Pros - Super quick setup - No BS/straightforward pricing - Fast cold starts - Reliable machines - Good internet connectivity Is reliable GPU access for AI workloads at a fraction of the cost of traditional cloud providers and comes with a free trial. The ease of use is fantastic, with a good interface that lets us get started quickly. The support team is responsive and helpful. GPU's are powerful too. Cons I thought the out of the box image was a bit basic - just Ubuntu 24.04 w/CUDA. It was fine as I could quickly download and configure what I needed, but I would have appreciate some pre-packaged images. The team replied and let me know they are quickly going to add some more. Honestly, nothing to dislike. It meets our needs perfectly and saves us money. Although it is still being updated and such.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported
Company Information Hivenet Founded: 2022 www.hivenet.com/compute-personal	Company Information SiliconFlow Founded: 2023 Singapore www.siliconflow.com
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Categories AI Cloud Providers Supported AI Fine-Tuning Supported AI Inference Supported AI Infrastructure Supported AI/ML Model Training Supported Cloud GPU Supported	Categories AI Fine-Tuning Supported AI Inference Supported

Integrations Amazon Web Services (AWS) Supported AtomCode Not Supported DeepSeek Not Supported DeepSeek R1 Not Supported DeepSeek-V3 Not Supported FLUX.1 Not Supported FLUX.1 Kontext Not Supported FLUX.2 Not Supported Google Cloud Platform Supported Kimi K2 Not Supported Kimi K2.6 Not Supported Kimi K3 Not Supported Kubernetes Supported Llama Not Supported Microsoft Azure Supported OpenAI Not Supported Qwen3 Not Supported Qwen3-Coder Not Supported Wan2.1 Not Supported Wan2.2 Not Supported Show More Integrations View All 4 Integrations	Integrations Amazon Web Services (AWS) Not Supported AtomCode Supported DeepSeek Supported DeepSeek R1 Supported DeepSeek-V3 Supported FLUX.1 Supported FLUX.1 Kontext Supported FLUX.2 Supported Google Cloud Platform Not Supported Kimi K2 Supported Kimi K2.6 Supported Kimi K3 Supported Kubernetes Not Supported Llama Supported Microsoft Azure Not Supported OpenAI Supported Qwen3 Supported Qwen3-Coder Supported Wan2.1 Supported Wan2.2 Supported Show More Integrations View All 22 Integrations
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