GPU Cloud Pricing Comparison: NVIDIA A100, H100, RTX 4090
Compare Google Cloud GPU pricing vs AWS, Azure & 20+ providers. Find cheapest NVIDIA A100, H100, RTX 4090 rental prices. Real-time GPU cost comparison with CUDA cores, VRAM specs.
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GPU Cloud Instances: NVIDIA A100, H100, RTX 4090 Specs & Pricing
Compare GPU specifications across providers: CUDA cores, VRAM capacity, TDP, and hourly pricing. Find NVIDIA A100 VRAM (40GB/80GB), RTX 4090 CUDA cores (16,384), H100 performance specs. Filter by Google Cloud, AWS, Azure, RunPod, VAST.ai pricing.
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. Both use HBM2e memory with exceptional bandwidth for AI workloads.
What are the A100 CUDA cores count?
The A100 has 6,912 CUDA cores, 432 Tensor cores (3rd gen), and delivers 19.5 TFLOPS FP32 performance.
What is the A100 TDP and power consumption?
The A100 has a TDP of 400W for most variants, with some configurations up to 500W. Memory bandwidth is 1,555 GB/s.
NVIDIA H100 Specifications
How many H100 CUDA cores?
The H100 features 14,592 CUDA cores and 456 4th-gen Tensor cores, delivering exceptional AI performance.
What is H100 VRAM capacity?
The H100 comes with 80GB HBM3 memory providing 3.35 TB/s bandwidth - nearly 3x faster than A100.
H100 dimensions and size?
The H100 PCIe variant measures approximately 10.5" x 4.4" and requires 2-3 slots depending on cooling solution.
RTX 4090 Specifications
RTX 4090 CUDA cores count?
The RTX 4090 has 16,384 CUDA cores and delivers 82.6 TFLOPS FP32 performance.
How much RTX 4090 VRAM?
The RTX 4090 comes with 24GB GDDR6X VRAM with 1008 GB/s memory bandwidth.
RTX 4090 size and dimensions?
The RTX 4090 typically measures 12.4" x 5.4" and requires 3-4 slots. Length varies by manufacturer.
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 upcoming RTX 5090 is expected to feature 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
Cheapest GPU cloud providers?
VAST.ai, RunPod, and Lambda offer competitive pricing. RTX 4090 from $0.40/hr, A100 from $1.50/hr.
Best GPU rental for AI training?
H100 for large models, A100 for most AI work, RTX 4090 for cost-effective training.