Cloud GPU Pricing
& Comparison
Compare H100, A100, RTX 4090 and 500+ GPU instances across 40+ cloud providers. Find the cheapest GPU rentals for AI training and inference.
Find Your Perfect GPU
Explore cloud GPU pricing and rentals across providers. Compare CUDA cores, VRAM, TDP, and hourly rates in real-time.
GPU Specifications FAQ
Get answers to the most common GPU specification questions
NVIDIA A100 Specifications
How much VRAM does the NVIDIA A100 have?
The NVIDIA A100 comes in two VRAM configurations: 40GB and 80GB variants. The A100 uses HBM2e memory with exceptional bandwidth for AI workloads.
What are the A100 CUDA cores count?
The NVIDIA A100 features 6,912 CUDA cores with advanced Tensor Cores for AI acceleration.
What is the A100 TDP and power consumption?
The A100 has a 400W TDP and requires proper cooling for optimal performance.
NVIDIA H100 Specifications
How many H100 CUDA cores?
The NVIDIA H100 features 18,432 CUDA cores with 4th generation Tensor Cores.
What is H100 VRAM capacity?
The NVIDIA H100 comes with 80GB HBM3 VRAM and 3TB/s memory bandwidth.
H100 dimensions and size?
The H100 uses a PCIe 5.0 x16 interface and requires proper power delivery.
Other Popular GPU Questions
Tesla T4 CUDA cores and specs?
The Tesla T4 has 2,560 CUDA cores, 16GB GDDR6 VRAM, and 320 GB/s bandwidth. Popular for inference workloads.
NVIDIA A10 specifications?
The A10 features 9,216 CUDA cores, 24GB GDDR6 VRAM, and excellent price/performance for professional workloads.
RTX 5090 specifications?
The RTX 5090 features 28GB VRAM, significant performance improvements over RTX 4090.
Quadro P4000 specs?
The Quadro P4000 has 1,792 CUDA cores and 8GB GDDR5 VRAM. Older but still used for professional applications.
GPU Cloud Pricing FAQ
Common questions about GPU cloud pricing and costs
Google Cloud & Major Providers
Google Cloud GPU pricing costs?
Google Cloud GPU pricing: A100 ~$3.67/hr, T4 ~$0.35/hr, V100 ~$2.48/hr. Prices vary by region and commitment.
AWS vs Azure vs GCP GPU costs?
AWS typically higher than GCP, Azure competitive. Specialized providers like RunPod, Vast.ai often 40-60% cheaper than major clouds.
Best GPU Cloud Providers
Latest Insights
Stay updated with our latest articles on GPU cloud computing and AI infrastructure
Top 10 GPU Cloud Providers for AI/ML in 2025: Complete Pricing & Performance Guide
Comprehensive guide to the best GPU cloud providers for AI and machine learning in 2025. Compare pricing, performance, and features of H100, A100, RTX 4090 instances from top providers.
Read More →GPUvec: Building the Ultimate GPU Cloud Comparison Platform for AI Developers
Discover how GPUvec is revolutionizing GPU cloud comparison for AI developers. Learn about our mission to democratize access to affordable GPU computing and our roadmap for 2025.
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Technical analysis of Huawei CloudMatrix384 with Ascend 910/920 powering DeepSeek; costs vs Nvidia H100, throughput benchmarks, and architecture insights.
Read More →What You Can Do on This Page
Find GPU Cloud Rental Prices per Hour for RTX 4090, H100, and A100
GPUvec aggregates real-time GPU cloud rental prices so you can compare hourly rates for RTX 4090, H100, A100, and RTX 5090 instances across providers like RunPod, Vast.ai, Lambda Labs, and CoreWeave. Whether you need RTX 4090 pricing per hour for deep learning or H100 instances for large model training, our platform shows you which provider offers the best deal for your specific GPU model and region.
Compare GPU Cloud Providers and Their Pricing Models
Not all GPU cloud providers price their instances the same way. RunPod offers both secure and community cloud pricing for RTX 4090 and H100 instances. Vast.ai provides a peer-to-peer marketplace with competitive per-hour rates. Lambda Labs and CoreWeave offer dedicated GPU clusters. GPUvec lets you compare gpu cloud pricing across RunPod, Vast.ai, Lambda Labs, Thunder Compute, and dozens more to find the most cost-effective option for your AI workloads.
Check GPU Specifications Including Compute Capability and TFLOPs
Beyond pricing, choosing the right GPU means understanding its specifications. GPUvec provides detailed specs for each model including CUDA compute capability, Tensor Core count, memory bandwidth, and TFLOPs performance. For example, the RTX 4090 has a compute capability of 8.9, while the Blackwell RTX 5090 and RTX 50 series GPUs introduce new capability levels. Check compute capability for any NVIDIA GPU from older Tesla P100 models to the latest H200 and B200 data center accelerators.
Explore Emerging GPU Options Like LX 7G100 and Huawei Ascend 910B
The GPU market extends beyond NVIDIA. Chinese manufacturers like Lisuan with their LX 7G100 GPU and Huawei with the Ascend 910B are entering the AI hardware space. The Ascend 910B delivers up to 320 BF16 TFLOPs for AI training workloads. GPUvec tracks these emerging accelerators alongside traditional NVIDIA GPUs, providing specifications and availability data so you can evaluate all options for your AI infrastructure.