Nebius vs. Thunder Compute Comparison


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It is designed to offload operational complexity, with expert teams handling orchestration, security, uptime, and system maintenance so users can focus on building and scaling their applications. It offers dedicated compute resources for predictable performance and cost control, along with fixed-cost billing that removes the unpredictability often associated with public cloud environments. Nexcess includes built-in governance and compliance features, with support for standards such as HIPAA and PCI-DSS, as well as continuous security monitoring, firewalls, and DDoS protection. 210 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. 1,166 Ratings Visit Website OpenMetal OpenMetal delivers hosted private cloud and bare metal infrastructure that gives organizations a real alternative to building their own private cloud or committing to a hyperscaler. Our private cloud platform is built on OpenStack and Ceph, giving customers full access to a proven, open source cloud stack without the overhead of managing it themselves. 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About Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.	About Thunder Compute is a GPU cloud platform built for teams searching for cheap cloud GPUs without sacrificing performance, reliability, or ease of use. Developers, startups, and enterprises use Thunder Compute to launch H100, A100, and RTX A6000 GPU instances for AI training, LLM inference, fine-tuning, deep learning, PyTorch, CUDA, ComfyUI, Stable Diffusion, batch inference, and high-performance GPU workloads. With fast GPU provisioning, transparent pricing, persistent storage, and simple deployment, Thunder Compute makes cloud GPU hosting more accessible and cost-effective than traditional hyperscalers. Whether you need affordable GPUs for machine learning, a GPU server for AI, or a low-cost alternative to expensive GPU cloud providers, Thunder Compute helps you scale quickly with reliable on-demand GPU infrastructure designed for modern AI workloads. Thunder Compute is ideal for startups, ML engineers, and research teams that want cheap cloud GPUs with fast setup and predictable costs.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Founders of AI startups, ML engineers, MLOps engineers, and any roles interested in optimizing compute resources for their AI/ML tasks	Audience Researchers looking for a tool to prototype, fine-tune, and deploy models efficiently without the overhead of traditional cloud configurations
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $2.66/hour Free Version Free Trial	Pricing $0.27 per hour Billed per minute for GPU cloud instance usage Free Version Free Trial
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 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

Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Nebius Founded: 2022 Netherlands nebius.ai/	Company Information Thunder Compute Founded: 2024 United States www.thundercompute.com
Alternatives Runpod	Alternatives Runpod
CoreWeave	Compute with Hivenet Hivenet
Dataoorts GPU Cloud Dataoorts	Packet.ai
Gemini Enterprise Agent Platform Google	NetThunder
TensorWave View All	ThunderCore View All
Categories AI Cloud Providers AI Image Generators AI Inference AI Infrastructure AI/ML Model Training Cloud GPU Cloud Service Providers Data Preparation LLM API Machine Learning Object Storage Virtual Private Cloud (VPC)	Categories AI Cloud Providers AI Infrastructure Cloud GPU

Integrations AI SpendOps Anaconda Apache Spark Docker Flask Git GitLab Google Chrome Hugging Face JupyterLab Mozilla Firefox NVIDIA TensorRT PowerShell PyCharm PyTorch Slurm Tailscale TensorFlow Visual Studio Code vLLM Show More Integrations View All 5 Integrations	Integrations AI SpendOps Anaconda Apache Spark Docker Flask Git GitLab Google Chrome Hugging Face JupyterLab Mozilla Firefox NVIDIA TensorRT PowerShell PyCharm PyTorch Slurm Tailscale TensorFlow Visual Studio Code vLLM Show More Integrations View All 45 Integrations
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