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 NVL's FP16 performance of 1979 TFLOPS dwarfs the Quadro RTX 4000's 7.1 TFLOPS, accelerating mixed-precision AI training by orders of magnitude. FP32 at 67 TFLOPS on the H100 NVL also exceeds the Quadro RTX 4000's 7.1 TFLOPS, benefiting general compute tasks. The FP16 to FP32 delta on the H100 NVL supports efficient large-model training, where tensor cores optimize lower precisions, while the Quadro RTX 4000's balanced ratios suit traditional rendering.
Memory bandwidth of 3350 GB/s on the H100 NVL allows massive batch sizes in deep learning, handling models that exceed the Quadro RTX 4000's 416 GB/s limit and 8 GB VRAM. This results in fewer out-of-memory errors for LLMs during inference, versus frequent resizing on the older GPU. In real-world terms, H100 NVL completes training epochs in minutes what takes hours on Quadro RTX 4000.
Power draw underscores efficiency trade-offs: 700W TDP for H100 NVL demands robust cooling, while 160W on Quadro RTX 4000 fits edge deployments. Interconnects like NVLink on H100 NVL enable multi-GPU scaling unavailable on the PCIe-only Quadro RTX 4000.
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 |
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 NVL
Opt for the NVIDIA H100 NVL in AI-driven workloads requiring extreme scale, such as training large language models with 80 to 94 GB HBM3 VRAM to support batch sizes impossible on 8 GB GDDR6. Its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 excel in inference at scale, justifying $1.40 per hour starting price for datacenter environments with NVLink interconnects.
When to Choose the Quadro RTX 4000
Select the NVIDIA Quadro RTX 4000 for cost-sensitive professional visualization, like CAD or light rendering, where 7.1 TFLOPS FP32 and 160W TDP suffice without exceeding $0.56 per hour. Its PCIe form factor integrates easily into workstations for tasks not demanding over 8 GB VRAM or 416 GB/s bandwidth.
Use Cases
H100 NVL's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive models and large batches. Quadro RTX 4000's 8 GB GDDR6 causes frequent out-of-memory issues.
3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 NVL deliver low-latency serving for production. Quadro RTX 4000 lacks FP8 and sufficient memory for real-time inference.
H100 NVL's 67 TFLOPS FP32 and high VRAM support efficient parameter-efficient fine-tuning on large models. Quadro RTX 4000's lower specs limit dataset sizes.
H100 NVL processes high-resolution generations rapidly with 1979 TFLOPS FP16. Quadro RTX 4000 manages basic tasks but slows on complex prompts due to 416 GB/s bandwidth.
H100 NVL's NVLink and 3350 GB/s bandwidth enable multi-GPU simulations. Quadro RTX 4000 suits single-node lighter computations.
Frequently Asked Questions
What is the VRAM difference between H100 NVL and Quadro RTX 4000?▾
H100 NVL provides 80 to 94 GB HBM3 VRAM, far exceeding Quadro RTX 4000's 8 GB GDDR6. This allows H100 NVL to load enormous AI models without swapping. Quadro RTX 4000 fits smaller datasets in visualization tasks.
How do their FP16 performances compare?▾
H100 NVL delivers 1979 TFLOPS FP16, over 278 times the Quadro RTX 4000's 7.1 TFLOPS. This gap accelerates AI training significantly on H100 NVL. Quadro RTX 4000 handles basic tensor operations adequately.
What are the cloud pricing differences?▾
H100 NVL starts at $1.40 per hour with an average of $2.89 per hour across nine offers. Quadro RTX 4000 is $0.56 per hour across five offers. Pricing reflects H100 NVL's superior datacenter capabilities.
Which has higher memory bandwidth?▾
H100 NVL achieves 3350 GB/s, about eight times the Quadro RTX 4000's 416 GB/s. Higher bandwidth on H100 NVL supports larger batch sizes in ML. Quadro RTX 4000 suffices for workstation graphics.
What is the TDP comparison?▾
H100 NVL requires 700W TDP for peak performance, versus Quadro RTX 4000's efficient 160W. H100 NVL needs datacenter power infrastructure. Quadro RTX 4000 fits standard workstations.
Can Quadro RTX 4000 handle AI workloads like H100 NVL?▾
Quadro RTX 4000's 7.1 TFLOPS FP16 limits it to small-scale AI, unlike H100 NVL's 1979 TFLOPS. It works for prototyping but not production training. H100 NVL dominates large models.
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.