Specifications Compared
| Spec | H100 | RTX-A6000 |
|---|---|---|
| TDP | 700W | 300W |
| VRAM | 80-94 GB | 48 GB |
| CUDA Cores | 16,896 | 10,752 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 336 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 67 TFLOPS | 38.7 TFLOPS |
| FP64 Performance | 34 TFLOPS | 0.6 TFLOPS |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 768 GB/s |
Performance Analysis
H100's 1979 TFLOPS FP16 capability accelerates AI training by approximately 51 times compared to A6000's 38.7 TFLOPS, enabling faster convergence on large datasets. The FP32 performance of 67 TFLOPS on H100 slightly outpaces A6000's 38.7 TFLOPS, benefiting general-purpose computing alongside training. For inference, H100's FP8 at 3958 TFLOPS supports ultra-high throughput on quantized models, far beyond A6000's capabilities.
Memory bandwidth defines workload scalability: H100's 3350 GB/s versus A6000's 768 GB/s permits batch sizes four times larger, reducing per-epoch training time and improving utilization in memory-bound tasks like transformer models. H100's 80 to 94 GB VRAM handles models exceeding 48 GB, preventing out-of-memory errors in LLM fine-tuning or diffusion models.
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 A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the H100 PCIe
Opt for H100 PCIe in large-scale LLM training or inference requiring over 48 GB VRAM, where 1979 TFLOPS FP16 and 3350 GB/s bandwidth deliver 51 times faster half-precision compute. It excels in datacenter environments with NVLink and PCIe 5.0 interconnects for multi-GPU scaling at $1.25 to $2.62 per hour.
When to Choose the RTX A6000
Choose RTX A6000 for budget-conscious workloads like Stable Diffusion or small model fine-tuning, leveraging 48 GB VRAM and 38.7 TFLOPS FP16/FP32 at $0.17 to $1.02 per hour. Its 300W TDP suits power-limited setups or single-GPU inference without H100's overhead.
Use Cases
H100's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 support massive parameter models without swapping. Its 3350 GB/s bandwidth enables large batch sizes for faster training.
H100's 3958 TFLOPS FP8 delivers ultra-high throughput for serving large models. 80 GB VRAM accommodates full model loading for low-latency responses.
A6000's 48 GB VRAM and 38.7 TFLOPS suffice for models under 40 GB at low cost of $0.17 per hour. H100 scales for larger ones with 1979 TFLOPS FP16.
RTX A6000's 48 GB GDDR6 handles high-resolution generation at 768 GB/s bandwidth. Pricing from $0.17 per hour makes it ideal for frequent creative tasks.
A6000's 38.7 TFLOPS FP32 matches many simulation needs with 300W efficiency. Lower $1.02 average cost fits research budgets without H100's excess.
Frequently Asked Questions
How much faster is H100 than RTX A6000 in FP16?▾
H100 achieves 1979 TFLOPS FP16, over 51 times the RTX A6000's 38.7 TFLOPS. This gap accelerates deep learning training significantly. Bandwidth at 3350 GB/s further boosts real-world speed.
What is the VRAM difference between H100 and A6000?▾
H100 provides 80 to 94 GB HBM3, nearly double A6000's 48 GB GDDR6. This enables larger models on H100 without quantization. HBM3 also offers higher 3350 GB/s bandwidth.
Which GPU is cheaper in the cloud?▾
RTX A6000 starts at $0.17 per hour, averaging $1.02 across 62 offers. H100 begins at $1.25 per hour, averaging $2.62 across 23 offers. A6000 suits cost-sensitive users.
Does H100 support FP8 compute?▾
H100 delivers 3958 TFLOPS FP8 for efficient inference. RTX A6000 lacks native FP8 support. This makes H100 ideal for quantized LLM serving.
What are the power requirements?▾
H100 has a 700W TDP, demanding robust cooling. RTX A6000 uses 300W, fitting standard workstations. Power differences impact deployment costs.
Can both GPUs use NVLink?▾
Both support NVLink for multi-GPU communication. H100 adds PCIe 5.0 and InfiniBand options. This aids scaling in clusters.
Which is cheaper to rent, the H100 or the RTX A6000?▾
Cloud rental prices for both the H100 and RTX A6000 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 A6000?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find H100 and RTX A6000 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 A6000?▾
The H100 uses the Hopper architecture (2022) while the RTX A6000 uses Ampere (2020). The H100 delivers 51.1x the FP16 throughput and 4.4x the memory bandwidth of the RTX A6000.