Specifications Compared
| Spec | H100 | RTX-A2000 |
|---|---|---|
| TDP | 700W | 70W |
| VRAM | 80-94 GB | 6-12 GB |
| CUDA Cores | 16,896 | 3,328 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 104 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 8 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 288 GB/s |
Performance Analysis
The H100 NVL's FP16 performance of 1979 TFLOPS vastly outpaces the RTX A2000's 8 TFLOPS, accelerating mixed-precision training and inference for deep learning models by orders of magnitude. In training scenarios, this FP16 advantage speeds up gradient computations, while the H100 NVL's 67 TFLOPS FP32 exceeds the RTX A2000's 8 TFLOPS for single-precision tasks common in simulations. FP8 at 3958 TFLOPS on the H100 NVL further optimizes large language model inference, reducing latency for high-throughput serving. Memory differences prove critical: the H100 NVL's 80 to 94 GB HBM3 supports massive batch sizes in transformer models, preventing out-of-memory errors that limit the RTX A2000's 6 to 12 GB GDDR6. Bandwidth at 3350 GB/s versus 288 GB/s ensures the H100 NVL sustains high utilization during data loading, enabling larger effective batch sizes and faster epochs. The RTX A2000's 70W TDP contrasts the H100 NVL's 700W, suiting it for power-constrained edge deployments but capping scalability in demanding workflows.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| 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 A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the H100 NVL
Opt for the NVIDIA H100 NVL in large-scale AI training and inference where 1979 TFLOPS FP16 and 80 to 94 GB VRAM handle billion-parameter LLMs without compromise. Its 3350 GB/s bandwidth supports enormous batch sizes, ideal for research labs or enterprises running distributed training via NVLink and InfiniBand. Cloud deployments benefit from nine live offers starting at $1.40 per hour.
When to Choose the RTX A2000
Select the NVIDIA RTX A2000 for cost-sensitive visualization, small-scale inference, or development prototyping, leveraging its 8 TFLOPS FP16 at $0.06 per hour from three offers. The 70W TDP and PCIe form factor fit laptops or low-power servers, sufficient for models under 12 GB VRAM without needing high interconnects.
Use Cases
The H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM enable training of billion-parameter models with large batch sizes. The RTX A2000's 8 TFLOPS and 6 to 12 GB VRAM cannot handle such scale.
H100 NVL's 3958 TFLOPS FP8 and 3350 GB/s bandwidth support high-throughput serving of large LLMs. RTX A2000 suits only tiny models due to limited 8 TFLOPS FP16.
With 67 TFLOPS FP32 and massive VRAM, H100 NVL accelerates fine-tuning on full datasets. RTX A2000 restricts to small adapters with its 6 to 12 GB VRAM.
RTX A2000's 8 TFLOPS FP16 generates images at 512x512 quickly for prototyping at low cost. H100 NVL excels in high-res batch generation with 1979 TFLOPS.
H100 NVL's 3350 GB/s bandwidth and NVLink handle large simulations efficiently. RTX A2000's 288 GB/s limits complex datasets.
Frequently Asked Questions
What is the VRAM difference between H100 NVL and RTX A2000?▾
The H100 NVL provides 80 to 94 GB HBM3 VRAM, far exceeding the RTX A2000's 6 to 12 GB GDDR6. This allows H100 NVL to load massive models, while RTX A2000 suits smaller ones. Bandwidth follows at 3350 GB/s versus 288 GB/s.
How do compute performances compare?▾
H100 NVL achieves 1979 TFLOPS FP16, 67 TFLOPS FP32, and 3958 TFLOPS FP8, compared to RTX A2000's 8 TFLOPS for both FP16 and FP32. This gap accelerates AI tasks dramatically on H100 NVL. No FP8 is listed for RTX A2000.
What are the cloud pricing differences?▾
H100 NVL starts at $1.40 per hour averaging $2.89 across nine offers, while RTX A2000 begins at $0.06 per hour averaging $0.23 across three. RTX A2000 offers better value for light use. Prices reflect live gpuperhour.com data.
Which has lower power consumption?▾
RTX A2000 draws 70W TDP, much lower than H100 NVL's 700W. This makes RTX A2000 ideal for power-limited setups. H100 NVL requires robust cooling and PSUs.
What form factors do they support?▾
H100 NVL uses SXM5, PCIe, and NVL with NVLink, PCIe 5.0, InfiniBand interconnects for scaling. RTX A2000 is PCIe-only. H100 NVL suits clusters, RTX A2000 single-node workstations.
Is H100 NVL better for ML training?▾
Yes, H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB VRAM dominate for training large models. RTX A2000's specs limit it to small-scale work. Bandwidth of 3350 GB/s further advantages H100 NVL.
Which is cheaper to rent, the H100 or the RTX A2000?▾
Cloud rental prices for both the H100 and RTX A2000 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 A2000?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find H100 and RTX A2000 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 A2000?▾
The H100 uses the Hopper architecture (2022) while the RTX A2000 uses Ampere (2021). The H100 delivers 247.4x the FP16 throughput and 11.6x the memory bandwidth of the RTX A2000.