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's FP16 performance of 1979 TFLOPS dwarfs the A2000's 8 TFLOPS, enabling up to 247 times faster half-precision computations essential for deep learning training. This delta translates to handling massive models like billion-parameter LLMs during backpropagation, where FP16 accelerates matrix multiplications without significant accuracy loss. FP32 at 67 TFLOPS on the H100 versus 8 TFLOPS on the A2000 supports precise scientific simulations, reducing iteration times dramatically.
Memory bandwidth defines workload feasibility: the H100's 3350 GB/s allows batch sizes exceeding thousands of sequences in LLM training, minimizing data loading bottlenecks. The A2000's 288 GB/s limits it to small batches, suitable only for models under 12 GB VRAM. In inference, H100's FP8 capability at 3958 TFLOPS further boosts throughput for serving multiple users, unavailable on the A2000.
Power consumption underscores trade-offs. The H100's 700W TDP demands robust cooling and infrastructure, ideal for clusters, while the A2000's 70W fits edge or desktop setups, prioritizing efficiency over raw speed.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100
| 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
Opt for the H100 in large-scale AI training scenarios, where its 80 to 94 GB HBM3 VRAM accommodates full-model loading for LLMs exceeding 70B parameters. Its 1979 TFLOPS FP16 performance accelerates multi-node training via NVLink interconnects, reducing time-to-insight from weeks to days across datacenter deployments.
High-throughput inference benefits from the H100's 3350 GB/s bandwidth and FP8 at 3958 TFLOPS, supporting enterprise serving at scales unattainable by lower-end GPUs.
When to Choose the RTX A2000
The RTX A2000 excels in budget-conscious professional workflows like CAD rendering or light ML inference, leveraging its 6 to 12 GB GDDR6 at $0.06 per hour starting price. Its 70W TDP enables deployment in compact workstations without high power costs.
Small-scale tasks such as Stable Diffusion for individual artists or fine-tuning compact models under 7B parameters favor the A2000, where its 8 TFLOPS FP16 suffices without overprovisioning resources.
Use Cases
H100's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 enable full-model training for large LLMs. A2000's 6-12 GB limits it to tiny models.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth support high-throughput serving. A2000's 8 TFLOPS FP16 restricts concurrency.
H100 handles parameter-efficient fine-tuning on 70B+ models with 67 TFLOPS FP32. A2000 suits only sub-7B models.
A2000's 12 GB GDDR6 generates images at 8 TFLOPS FP16 for individuals. H100 scales to batch production but at higher $3.14/hr average cost.
H100's 67 TFLOPS FP32 and NVLink excel in simulations. A2000's matching 8 TFLOPS FP32 limits complex datasets.
Frequently Asked Questions
What is the VRAM difference between H100 and RTX A2000?▾
The H100 offers 80 to 94 GB HBM3 VRAM, enabling large model handling. The RTX A2000 provides 6 to 12 GB GDDR6, suitable for smaller workloads.
How do H100 and A2000 compare in FP16 performance?▾
H100 delivers 1979 TFLOPS FP16, ideal for AI training. A2000 achieves 8 TFLOPS FP16, adequate for basic inference.
What are the cloud pricing ranges for these GPUs?▾
H100 starts at $0.80 per hour, averaging $3.14 per hour across 57 offers. A2000 begins at $0.06 per hour, averaging $0.23 per hour across 3 offers.
Which GPU has higher memory bandwidth?▾
H100 provides 3350 GB/s, supporting large batch sizes. A2000 offers 288 GB/s for modest data flows.
What is the TDP of H100 versus A2000?▾
H100 requires 700W for datacenter use. A2000 uses 70W, fitting workstations.
Can RTX A2000 handle LLM training?▾
RTX A2000's 6-12 GB VRAM limits it to small LLMs under 7B parameters at 8 TFLOPS FP16. H100 scales to enterprise training.
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.