Specifications Compared
| Spec | H100 | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 700W | 230W |
| VRAM | 80-94 GB | 16 GB |
| CUDA Cores | 16,896 | 3,072 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 384 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 11.2 TFLOPS |
| FP32 Performance | 67 TFLOPS | 11.2 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 448 GB/s |
Performance Analysis
The H100 PCIe dominates in compute performance: its 1979 TFLOPS FP16 capability surpasses the Quadro RTX 5000's 11.2 TFLOPS by over 176 times, accelerating deep learning training where half-precision is standard. For FP32 workloads like simulations, the H100's 67 TFLOPS provides sixfold improvement over the Quadro's 11.2 TFLOPS. The H100's FP8 performance at 3958 TFLOPS further optimizes inference for quantized models.
Memory specifications profoundly impact real-world usage. With 80 to 94 GB HBM3 VRAM, the H100 handles massive models and large batch sizes that exceed the Quadro's 16 GB GDDR6 limit, preventing out-of-memory errors in LLM training. The H100's 3350 GB/s bandwidth ensures rapid data throughput, enabling larger batches than the Quadro's 448 GB/s, which bottlenecks high-throughput inference.
Power consumption reflects their roles: the H100's 700W TDP supports sustained datacenter loads, while the Quadro's 230W suits compact workstations. Overall, these specs translate to the H100 completing AI tasks in fractions of the time required by the Quadro.
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 |
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
When to Choose the H100 PCIe
The H100 PCIe is the superior choice for AI-driven workloads such as large-scale LLM training or inference. Its 80 to 94 GB VRAM accommodates models exceeding 16 GB, and 1979 TFLOPS FP16 performance handles massive datasets efficiently. High memory bandwidth of 3350 GB/s supports optimal batch sizes in cloud environments starting at $1.25 per hour.
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 fits budget-conscious professional visualization tasks like CAD or moderate rendering. Its 16 GB GDDR6 VRAM and 11.2 TFLOPS FP32 performance suffice for workflows not requiring extensive AI compute. At $0.82 per hour and 230W TDP, it offers low-cost, low-power operation in PCIe workstations.
Use Cases
The H100's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM enable training of massive models with large batches. The Quadro RTX 5000's 11.2 TFLOPS and 16 GB limit it to small-scale tasks.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth support high-throughput serving of large models. Quadro RTX 5000's 448 GB/s bandwidth constrains inference speed.
H100 handles fine-tuning with 67 TFLOPS FP32 and vast VRAM for full model loading. Quadro RTX 5000's 16 GB VRAM often requires model sharding.
H100's high FP16 performance and 80 GB VRAM generate high-resolution images quickly. Quadro RTX 5000 manages basic diffusion but slows on complex prompts.
H100's 67 TFLOPS FP32 and 3350 GB/s bandwidth accelerate simulations with large datasets. Quadro RTX 5000 suits lightweight computations only.
Frequently Asked Questions
What is the VRAM difference between NVIDIA H100 PCIe and Quadro RTX 5000?▾
The H100 PCIe features 80 to 94 GB of HBM3 VRAM, far exceeding the Quadro RTX 5000's 16 GB GDDR6. This allows the H100 to process much larger AI models without swapping. The Quadro suffices for smaller professional datasets.
Which GPU has better FP16 performance?▾
The H100 PCIe achieves 1979 TFLOPS in FP16, compared to the Quadro RTX 5000's 11.2 TFLOPS. This gap makes H100 ideal for deep learning training. Quadro performs adequately for lighter tensor operations.
How do cloud prices compare for these GPUs?▾
H100 PCIe starts at $1.25 per hour, averaging $2.73 across 15 offers. Quadro RTX 5000 is priced from $0.82 per hour, averaging $0.82 across 2 offers. Pricing reflects their performance tiers.
What are the memory bandwidth specs?▾
H100 PCIe offers 3350 GB/s bandwidth with HBM3 memory. Quadro RTX 5000 provides 448 GB/s with GDDR6. Higher bandwidth on H100 supports larger batch sizes in training.
Which is better for AI workloads?▾
The H100 PCIe excels with 1979 TFLOPS FP16, 3958 TFLOPS FP8, and 80 GB VRAM for AI tasks. Quadro RTX 5000's 11.2 TFLOPS limits it to entry-level AI. Choose H100 for production-scale inference or training.
What are the TDP ratings?▾
H100 PCIe has a 700W TDP for datacenter use. Quadro RTX 5000 consumes 230W, fitting workstations. Lower TDP on Quadro reduces cooling needs.
Which is cheaper to rent, the H100 or the Quadro RTX 5000?▾
Cloud rental prices for both the H100 and Quadro RTX 5000 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 5000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find H100 and Quadro RTX 5000 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 5000?▾
The H100 uses the Hopper architecture (2022) while the Quadro RTX 5000 uses Turing (2018). The H100 delivers 176.7x the FP16 throughput and 7.5x the memory bandwidth of the Quadro RTX 5000.