Specifications Compared
| Spec | H100 | RTX-5000-ADA |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 80-94 GB | 32 GB |
| CUDA Cores | 16,896 | 12,800 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 400 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 1,044 TOPS |
| Memory Bandwidth | 3,350 GB/s | 576 GB/s |
Performance Analysis
The NVIDIA H100 NVL's FP16 performance of 1979 TFLOPS vastly outpaces the RTX 5000 Ada Generation's 65.3 TFLOPS, accelerating deep learning training where half-precision computations dominate. This disparity translates to faster convergence in large model training, often reducing epochs by factors of 20 to 30 times based on raw throughput. FP32 rates show less divergence at 67 TFLOPS for H100 NVL versus 65.3 TFLOPS for RTX 5000 Ada, suiting both for scientific simulations but favoring H100 NVL in mixed-precision pipelines.
Memory bandwidth defines practical limits: the H100 NVL's 3350 GB/s supports massive batch sizes in transformer models, enabling datasets that exceed 32 GB VRAM on the RTX 5000 Ada Generation. Lower bandwidth of 576 GB/s on the RTX restricts it to smaller batches, increasing iteration times in memory-bound inference. The H100 NVL's 700W TDP demands robust cooling, while the RTX 5000 Ada Generation's 250W suits edge or multi-GPU setups with lower power 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 |
RTX 5000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the H100 NVL
Select the NVIDIA H100 NVL for large-scale LLM training or inference requiring over 80 GB VRAM and 3350 GB/s bandwidth. Its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 excel in handling billion-parameter models, where the RTX 5000 Ada Generation's 32 GB limit causes out-of-memory errors. Datacenter interconnects like NVLink make it optimal for multi-GPU clusters in cloud HPC.
When to Choose the RTX 5000 Ada Generation
Opt for the NVIDIA RTX 5000 Ada Generation in cost-sensitive scenarios with moderate workloads, such as visualization or fine-tuning smaller models under 32 GB VRAM. At $0.25 per hour starting price, it offers strong 65.3 TFLOPS FP32 for CAD and rendering, with 250W TDP enabling dense deployments. It suits prototyping where H100 NVL's $1.40 per hour cost proves excessive.
Use Cases
The H100 NVL's 1979 TFLOPS FP16 and 80-94 GB HBM3 VRAM handle massive datasets and parameters infeasible on the RTX 5000 Ada Generation's 32 GB GDDR6.
3958 TFLOPS FP8 and 3350 GB/s bandwidth on the H100 NVL enable high-throughput serving of large models, outperforming the RTX 5000 Ada Generation's 65.3 TFLOPS FP16.
H100 NVL supports larger batch sizes via 3350 GB/s bandwidth for efficient fine-tuning of models over 30 GB, while RTX 5000 Ada Generation suits only smaller ones.
RTX 5000 Ada Generation's Ada Lovelace optimizations and 65.3 TFLOPS FP16 provide cost-effective generation at $0.25 per hour, adequate for most image synthesis without H100 NVL's overhead.
67 TFLOPS FP32 and 3350 GB/s bandwidth on H100 NVL accelerate simulations with large grids, surpassing RTX 5000 Ada Generation's comparable FP32 but limited memory.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA H100 NVL versus NVIDIA RTX 5000 Ada Generation?▾
The H100 NVL offers 80 to 94 GB HBM3 VRAM, enabling large model handling. The RTX 5000 Ada Generation provides 32 GB GDDR6, suitable for smaller workloads.
How do memory bandwidths compare between these GPUs?▾
NVIDIA H100 NVL achieves 3350 GB/s, supporting high batch sizes in AI tasks. NVIDIA RTX 5000 Ada Generation reaches 576 GB/s, limiting it to moderate throughput.
What are the FP16 performance differences?▾
H100 NVL delivers 1979 TFLOPS FP16 for rapid training. RTX 5000 Ada Generation offers 65.3 TFLOPS, about 30 times lower.
Which GPU has lower cloud pricing?▾
RTX 5000 Ada Generation starts at $0.25 per hour, averaging $0.51 across five offers. H100 NVL begins at $1.40 per hour, averaging $2.89 over nine offers.
What are the TDP ratings?▾
H100 NVL consumes 700W, requiring datacenter infrastructure. RTX 5000 Ada Generation uses 250W, fitting workstation or edge use.
Which architecture do they use?▾
H100 NVL employs Hopper from 2022 with NVLink support. RTX 5000 Ada Generation uses Ada Lovelace from 2023 in PCIe form.
Which is cheaper to rent, the H100 or the RTX 5000 Ada?▾
Cloud rental prices for both the H100 and RTX 5000 Ada 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 5000 Ada?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find H100 and RTX 5000 Ada 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 5000 Ada?▾
The H100 uses the Hopper architecture (2022) while the RTX 5000 Ada uses Ada Lovelace (2023). The H100 delivers 30.3x the FP16 throughput and 5.8x the memory bandwidth of the RTX 5000 Ada.