Specifications Compared
| Spec | H100 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 700W | 260W |
| VRAM | 80-94 GB | 48 GB |
| CUDA Cores | 16,896 | 4,608 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 576 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 672 GB/s |
Performance Analysis
The FP16 performance difference stands out sharply: H100 NVL achieves 1979 TFLOPS compared to 16.3 TFLOPS on Quadro RTX 8000, enabling over 120 times faster half-precision computations critical for AI training and inference. FP32 rates follow suit at 67 TFLOPS for H100 versus 16.3 TFLOPS for Quadro, benefiting single-precision scientific simulations similarly. This disparity translates to H100 handling massive models in minutes that would take hours or days on Quadro. Memory bandwidth impacts batch sizes directly: 3350 GB/s on H100 supports larger batches without overflow, accelerating training throughput, while 672 GB/s on Quadro limits scalability for memory-intensive tasks like large language model fine-tuning. Higher TDP of 700W on H100 reflects its density, but per-watt efficiency soars due to architectural advances over Quadro's 260W draw.
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 |
When to Choose the H100 NVL
NVIDIA H100 NVL suits large-scale AI training and inference where 1979 TFLOPS FP16 and 80-94 GB HBM3 VRAM enable handling models exceeding 48 GB, such as trillion-parameter LLMs. Cloud deployments benefit from pricing at $1.40 per hour average $2.89, with NVLink and PCIe 5.0 for multi-GPU scaling. High bandwidth of 3350 GB/s maximizes batch sizes in data centers.
When to Choose the Quadro RTX 8000
NVIDIA Quadro RTX 8000 fits legacy workstation tasks like CAD rendering or smaller-scale compute where 260W TDP conserves power and 48 GB GDDR6 suffices. PCIe form factor integrates easily into existing on-premises servers without cloud dependency, as no live offers exist. Users with Turing-optimized software avoid H100's 700W demands and higher costs.
Use Cases
H100 NVL's 1979 TFLOPS FP16 and 80-94 GB HBM3 handle massive datasets and parameters infeasible on Quadro RTX 8000's 16.3 TFLOPS and 48 GB GDDR6.
High FP8 at 3958 TFLOPS and 3350 GB/s bandwidth on H100 NVL support low-latency serving of large models, outperforming Quadro's limited 16.3 TFLOPS FP16.
H100 NVL scales batch sizes with 3350 GB/s bandwidth and 67 TFLOPS FP32, accelerating iterations beyond Quadro RTX 8000's 672 GB/s constraint.
H100 NVL's superior FP16 at 1979 TFLOPS generates images faster with larger resolutions via 80-94 GB VRAM, while Quadro RTX 8000 bottlenecks at 16.3 TFLOPS.
67 TFLOPS FP32 and NVLink interconnect on H100 NVL excel in simulations, dwarfing Quadro RTX 8000's matching 16.3 TFLOPS FP32 without modern scaling.
Frequently Asked Questions
What is the VRAM difference between H100 NVL and Quadro RTX 8000?▾
H100 NVL offers 80-94 GB HBM3 VRAM, nearly double the 48 GB GDDR6 on Quadro RTX 8000. This enables larger models on H100. Bandwidth reaches 3350 GB/s on H100 versus 672 GB/s on Quadro.
How do FP16 performances compare?▾
H100 NVL delivers 1979 TFLOPS FP16, over 120 times the 16.3 TFLOPS of Quadro RTX 8000. This gap accelerates AI training significantly. FP32 follows at 67 TFLOPS versus 16.3 TFLOPS.
What are the power requirements?▾
H100 NVL has a 700W TDP, higher than Quadro RTX 8000's 260W. H100 justifies this with superior compute density. Quadro suits low-power setups.
Is cloud pricing available for these GPUs?▾
H100 NVL pricing starts at $1.40 per hour, averaging $2.89 across nine providers. No live cloud offers exist for Quadro RTX 8000. H100 dominates cloud AI.
Which has better interconnects?▾
H100 NVL supports NVLink, PCIe 5.0, and InfiniBand for multi-GPU scaling. Quadro RTX 8000 offers only NVLink. This makes H100 ideal for clusters.
What architectures do they use?▾
H100 NVL uses Hopper from 2022, while Quadro RTX 8000 relies on Turing from 2018. Hopper advances enable 3958 TFLOPS FP8 absent in Turing. The four-year gap drives performance leaps.
Which is cheaper to rent, the H100 or the Quadro RTX 8000?▾
Cloud rental prices for both the H100 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find H100 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The H100 uses the Hopper architecture (2022) while the Quadro RTX 8000 uses Turing (2018). The H100 delivers 121.4x the FP16 throughput and 5.0x the memory bandwidth of the Quadro RTX 8000.