Specifications Compared
| Spec | H100 | RTX-A5000 |
|---|---|---|
| TDP | 700W | 230W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 8,192 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 256 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 27.8 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 768 GB/s |
Performance Analysis
The H100's FP16 performance of 1979 TFLOPS vastly outpaces the A5000's 27.8 TFLOPS, enabling faster deep learning training with mixed precision arithmetic common in modern frameworks. This delta translates to training large language models up to 30 times quicker on the H100, reducing iteration times significantly. FP32 performance of 67 TFLOPS on H100 versus 27.8 TFLOPS on A5000 benefits scientific simulations requiring single precision.
Memory bandwidth defines practical limits: H100's 3350 GB/s supports batch sizes for models exceeding 24 GB VRAM, preventing out-of-memory errors in inference at scale. The A5000's 768 GB/s restricts it to smaller batches, slowing throughput for memory-bound tasks like Stable Diffusion generation. FP8 capability at 3958 TFLOPS on H100 accelerates quantized inference further.
Power draw underscores deployment differences, with H100 at 700W TDP demanding robust cooling versus A5000's efficient 230W.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 PCIe
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
RTX A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.49/GPU/hr $3.92/hr total (8×) |
When to Choose the H100 PCIe
Select the H100 PCIe for large-scale LLM training or inference where VRAM exceeds 24 GB: its 80 to 94 GB HBM3 handles models like GPT variants without splitting. The 1979 TFLOPS FP16 and 3350 GB/s bandwidth enable batch sizes that maximize throughput in cloud clusters.
High TDP of 700W suits datacenters, and NVLink interconnect scales multi-GPU setups effectively.
When to Choose the RTX A5000
Opt for the RTX A5000 in cost-sensitive scenarios with models fitting 24 GB GDDR6 VRAM: pricing from $0.03 per hour makes it ideal for prototyping or small inference deployments. Its 27.8 TFLOPS FP16/FP32 suffices for fine-tuning mid-sized networks or visualization tasks.
Lower 230W TDP and PCIe form factor simplify integration in edge or multi-user cloud instances.
Use Cases
H100's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM handle massive datasets and parameters infeasible on A5000's 24 GB GDDR6.
3350 GB/s bandwidth and FP8 at 3958 TFLOPS on H100 support high-throughput serving of large models; A5000 limits batch sizes with 768 GB/s.
H100 accelerates convergence with 67 TFLOPS FP32 for precise updates on models up to 94 GB; A5000 suits only smaller ones.
A5000's 24 GB GDDR6 and 27.8 TFLOPS FP16 generate images efficiently at $0.03 per hour; H100 overkill for typical resolutions.
H100's 67 TFLOPS FP32 excels in complex simulations; A5000's 27.8 TFLOPS suffices for lighter HPC tasks at lower cost.
Frequently Asked Questions
Which GPU has more VRAM: H100 PCIe or RTX A5000?▾
The H100 PCIe provides 80 to 94 GB HBM3 VRAM, far exceeding the RTX A5000's 24 GB GDDR6. This enables H100 to load larger models without quantization. A5000 fits mid-sized AI workloads comfortably.
How do H100 and A5000 compare in cloud pricing?▾
H100 PCIe starts at $1.25 per hour averaging $2.59 across 22 offers, while A5000 begins at $0.03 per hour averaging $0.43 across 33 offers. A5000 offers better value for budget tasks. H100 justifies cost for high-performance needs.
What is the FP16 performance difference between H100 and A5000?▾
H100 delivers 1979 TFLOPS FP16 versus A5000's 27.8 TFLOPS, a roughly 70-fold advantage. This accelerates AI training significantly on H100. A5000 remains viable for less demanding inference.
Can RTX A5000 handle LLM inference?▾
RTX A5000 supports inference for models under 24 GB with 27.8 TFLOPS FP16 and 768 GB/s bandwidth. Larger LLMs require H100's 80 to 94 GB VRAM. Quantization extends A5000 usability.
Which has higher memory bandwidth: H100 or A5000?▾
H100 achieves 3350 GB/s with HBM3, over four times the A5000's 768 GB/s GDDR6. This impacts large batch training on H100. A5000 performs adequately for smaller workloads.
What are the TDP ratings for H100 PCIe and RTX A5000?▾
H100 PCIe consumes 700W TDP, suited for datacenter cooling, while RTX A5000 uses 230W for efficient deployment. Lower TDP reduces operational costs on A5000. H100 prioritizes raw performance.
Which is cheaper to rent, the H100 or the RTX A5000?▾
Cloud rental prices for both the H100 and RTX A5000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the H100 have compared to the RTX A5000?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find H100 and RTX A5000 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the H100 and the RTX A5000?▾
The H100 uses the Hopper architecture (2022) while the RTX A5000 uses Ampere (2021). The H100 delivers 71.2x the FP16 throughput and 4.4x the memory bandwidth of the RTX A5000.