Cloud GPU Pricing Comparsion in 2025
Cloud GPU Pricing in 2025
In the fast-paced tech world of 2025, cloud GPUs drive AI breakthroughs, machine learning, and high-performance computing (HPC). Whether you’re training large language models (LLMs) or tackling vision tasks, finding the best cloud GPU providers at the right price is critical. With varied pricing from platforms like CoreWeave and Hyperstack, the landscape can feel overwhelming. That’s where GPUvec shines—your go-to hub for cloud GPU pricing comparison, GPU benchmarks, and tools like our model size calculator.
Why Cloud GPU Pricing Matters
Cloud GPU pricing can define your project’s success. From startups to enterprises, demand for scalable, cost-effective GPUs is surging. Providers like Hyperstack offer NVIDIA H100s at $1.90/hr, while others compete with flexible rates for AI workloads. But it’s more than hourly costs—VRAM, CUDA cores, and hidden fees (storage, networking) shape true value. GPUvec cuts through the noise, spotlighting the cheapest cloud GPUs and high-performance options tailored to you.
GPUvec: Your Cloud GPU Companion
GPUvec delivers real-time GPU pricing comparison from top GPU cloud providers. From the budget-friendly NVIDIA A4000 at $0.15/hr to the cutting-edge H200, we help you find the perfect fit. Explore these features:
Filter by VRAM, CUDA cores, and more to optimize GPU costs effortlessly.
Best Cloud Providers
Discover top GPU cloud providers:
- CoreWeave: Cost-effective, AI-focused GPUs with unmatched scalability.
- Hyperstack: NVIDIA GPUs like the A100 at $0.50/hr, eco-friendly and powerful.
- Lambda Labs: Tailored for AI and deep learning with robust NVIDIA options.
- Paperspace: User-friendly cloud computing GPU solutions for all workloads.
- Google Cloud (GCP): Comprehensive GPU offerings for machine learning.
- AWS: Wide-ranging GPU instances for AI and HPC.
- Azure: Robust cloud platform with GPU capabilities.
- Vast.ai: A marketplace for GPU rental pricing at competitive rates.
- RunPod: Affordable GPU instances for AI tasks.
- Modal: Competitive pricing with a sleek interface for AI workloads.
GPUvec ranks them by price, performance, and specs like vCPUs and storage.
GPU Benchmarks
Our GPU benchmarks target AI tasks—LLMs, vision models, and libraries like Flash-Attention. Compare NVIDIA, AMD, TPUs, and Huawei inference chips to find the best performer for your workload.
GPUvec Tools
- Model Size Calculator: Input your model (e.g., 7B, 9B) for compute recommendations.
- Cost Estimator: Forecast costs based on VRAM, runtime, and provider.
- Quantization: Optimize models for cost and performance.
- GPU Comparison: Analyze GPUs by VRAM, CUDA cores, and more.
- Spot Instance Finder: Snag the cheapest cloud GPUs with spot pricing.
Cheapest Cloud GPUs
Need affordability? GPUvec tracks budget options like the A4000 at $0.15/hr and spot instances across providers, blending price with performance for AI GPU costs.
Compare GPUs for AI Tasks
GPUvec excels at comparing GPUs for AI. Dive into:
- LLMs: Benchmarks for large language models.
- Vision Models: Performance for image tasks.
- Flash-Attention: GPUs optimized for advanced techniques.
- Hugging Face: Compatibility with popular libraries.
- VLLM: Tailored benchmarks for VLLM tasks.
Bookmark favorites for later analysis.
Filter Based on VRAM, CUDA Cores, and More
Refine your search with filters:
- VRAM (e.g., 16GB, 80GB)
- CUDA cores
- System RAM
- Local storage
Find the ideal GPU fast.
Conclusion
In 2025, cloud GPUs fuel AI and high-performance computing pricing. GPUvec simplifies your journey with real-time cloud GPU comparison, GPU benchmarks, and tools to optimize GPU costs. Whether you’re hunting the cheapest cloud GPUs or scaling for enterprise AI, GPUvec empowers you to save time and money. Visit GPUvec today and master the cloud GPU landscape!
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