Specifications Compared
| Spec | H100 | QUADRO-RTX-4000 |
|---|---|---|
| TDP | 700W | 160W |
| VRAM | 80-94 GB | 8 GB |
| CUDA Cores | 16,896 | 2,304 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 288 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 7.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 7.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 416 GB/s |
Performance Analysis
The H100 SXM5 vastly outperforms the Quadro RTX 4000 in compute-intensive workloads due to its superior FP16 rating of 1979 TFLOPS compared to 7.1 TFLOPS. This delta translates to dramatically faster neural network training, where FP16 precision dominates: the H100 completes iterations in fractions of the time the Quadro requires. FP32 performance shows a 9.4x lead at 67 TFLOPS versus 7.1 TFLOPS, benefiting simulation and rendering tasks.
Memory specifications further highlight the disparity: 80-94 GB HBM3 on the H100 versus 8 GB GDDR6 on the Quadro RTX 4000 enables much larger batch sizes in machine learning. The 3350 GB/s bandwidth prevents data starvation during model loading, allowing sustained peak performance, while the Quadro's 416 GB/s limits it to smaller datasets.
For inference, the H100's FP8 capability at 3958 TFLOPS accelerates low-precision deployments, making it ideal for real-time AI serving. The Quadro RTX 4000, with its lower TDP of 160W versus 700W, suits power-constrained environments but cannot match throughput in demanding scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| 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 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the H100 SXM5
The H100 SXM5 excels in large-scale AI training and inference where datasets exceed 8 GB VRAM. Its 1979 TFLOPS FP16 performance handles massive LLMs, enabling batch sizes that the Quadro RTX 4000 cannot support due to 416 GB/s bandwidth limitations. Cloud users benefit from NVLink and PCIe 5.0 interconnects for multi-GPU scaling at $0.80/hr starting price.
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 fits budget-conscious professional visualization and CAD workflows. Its 7.1 TFLOPS FP32 performance suffices for real-time rendering in tools like AutoCAD, with 160W TDP minimizing power and cooling needs. At a flat $0.56/hr cloud rate, it offers cost efficiency for tasks not requiring over 8 GB VRAM.
Use Cases
The H100's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive models and large batches. The Quadro RTX 4000's 8 GB GDDR6 cannot accommodate such scales.
H100 FP8 at 3958 TFLOPS enables high-throughput serving. Quadro's 7.1 TFLOPS FP16 limits it to small models only.
3350 GB/s bandwidth on H100 supports efficient gradient computations on datasets over 8 GB. Quadro RTX 4000 bottlenecks on memory.
H100's 67 TFLOPS FP32 accelerates image generation at high resolutions. Quadro's 416 GB/s bandwidth slows larger generations.
H100's 700W TDP and NVLink suit HPC simulations requiring 1979 TFLOPS FP16. Quadro lacks interconnects for scaling.
Frequently Asked Questions
What is the performance difference between H100 and Quadro RTX 4000 in FP16?▾
The H100 achieves 1979 TFLOPS in FP16, while the Quadro RTX 4000 reaches 7.1 TFLOPS. This 278x gap makes H100 ideal for AI training. Quadro suits lighter compute.
How much VRAM do these GPUs have?▾
H100 SXM5 offers 80-94 GB HBM3 VRAM with 3350 GB/s bandwidth. Quadro RTX 4000 has 8 GB GDDR6 at 416 GB/s. H100 handles far larger models.
What are the cloud pricing details?▾
H100 SXM5 starts at $0.80/hr, averaging $3.54/hr across 32 offers. Quadro RTX 4000 is $0.56/hr average across 5 offers. Quadro provides entry-level affordability.
Which has higher power consumption?▾
H100 SXM5 has a 700W TDP for maximum performance. Quadro RTX 4000 uses 160W, better for low-power setups. Choose based on infrastructure.
Can Quadro RTX 4000 handle LLM inference?▾
Quadro RTX 4000's 8 GB VRAM limits it to small models at 7.1 TFLOPS FP16. H100's 80-94 GB and 3958 TFLOPS FP8 serve production-scale LLMs.
What architectures do they use?▾
H100 employs Hopper from 2022 with advanced AI features. Quadro RTX 4000 uses Turing from 2018 for professional graphics. H100 leads in modern workloads.
Which is cheaper to rent, the H100 or the Quadro RTX 4000?▾
Cloud rental prices for both the H100 and Quadro RTX 4000 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 4000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.
Can I find H100 and Quadro RTX 4000 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 4000?▾
The H100 uses the Hopper architecture (2022) while the Quadro RTX 4000 uses Turing (2018). The H100 delivers 278.7x the FP16 throughput and 8.1x the memory bandwidth of the Quadro RTX 4000.