Specifications Compared
| Spec | H100 | RTX-2000-ADA |
|---|---|---|
| TDP | 700W | 70W |
| VRAM | 80-94 GB | 16 GB |
| CUDA Cores | 16,896 | 2,816 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 88 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 12 TFLOPS |
| FP32 Performance | 67 TFLOPS | 12 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 192 TOPS |
| Memory Bandwidth | 3,350 GB/s | 288 GB/s |
Performance Analysis
Compute disparities define real-world applicability: the H100 PCIe delivers 1979 TFLOPS FP16 versus the RTX 2000 Ada's 12 TFLOPS, enabling 165 times faster half-precision operations critical for neural network training. FP32 performance follows suit at 67 TFLOPS for H100 PCIe against 12 TFLOPS, accelerating single-precision tasks like simulations by over fivefold.
Memory bandwidth profoundly impacts workloads: H100's 3350 GB/s supports batch sizes far exceeding those on RTX 2000 Ada's 288 GB/s, minimizing data transfer bottlenecks in training large models. The H100's 80 to 94 GB VRAM handles models up to 94 GB without swapping, while 16 GB on RTX 2000 Ada limits it to smaller batches or inference on compact networks. These specs translate to hours-long training on H100 PCIe versus days on RTX 2000 Ada for equivalent deep learning jobs.
Power draw further differentiates: H100's 700W TDP suits dense server farms, whereas RTX 2000 Ada's 70W enables efficient desktop or edge use.
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 |
RTX 2000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 2000 Ada Generation 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.24/GPU/hr |
When to Choose the H100 PCIe
The H100 PCIe excels in demanding AI pipelines: large language model training leverages its 1979 TFLOPS FP16 and 80 to 94 GB VRAM to process massive datasets without memory constraints. Scientific simulations benefit from 67 TFLOPS FP32 and 3350 GB/s bandwidth for rapid iterations on complex physics models.
When to Choose the RTX 2000 Ada Generation
The RTX 2000 Ada suits budget-conscious prototyping: its $0.14 per hour starting price and 70W TDP minimize costs for small-scale inference or fine-tuning on models under 16 GB. Workstation tasks like CAD rendering or Stable Diffusion generation run efficiently on 12 TFLOPS FP16 without datacenter overhead.
Use Cases
H100's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM manage billion-parameter models at scale. RTX 2000 Ada's 12 TFLOPS and 16 GB limit it to trivial datasets.
H100 PCIe supports high-throughput serving with 3958 TFLOPS FP8 and vast bandwidth. RTX 2000 Ada handles only low-volume queries due to 12 TFLOPS FP16.
80 to 94 GB VRAM on H100 accommodates full model loading for efficient fine-tuning. 16 GB on RTX 2000 Ada requires gradient checkpointing, slowing processes.
RTX 2000 Ada's 12 TFLOPS FP16 suffices for image generation at 288 GB/s bandwidth. H100's power proves excessive for single-user creative workflows.
H100's 67 TFLOPS FP32 and 3350 GB/s bandwidth accelerate HPC simulations. RTX 2000 Ada's matching 12 TFLOPS FP32 falls short for large-scale computations.
Frequently Asked Questions
What is the VRAM difference between H100 PCIe and RTX 2000 Ada?▾
H100 PCIe provides 80 to 94 GB HBM3 VRAM, enabling massive model handling. RTX 2000 Ada offers 16 GB GDDR6, suitable for smaller workloads. This fivefold-plus gap affects batch sizes in training.
How do cloud prices compare for these GPUs?▾
H100 PCIe starts at $1.25 per hour, averaging $2.59 across 22 offers. RTX 2000 Ada begins at $0.14 per hour, averaging $0.29 over 3 offers. Cost reflects performance tiers.
Which has higher FP16 performance?▾
H100 PCIe achieves 1979 TFLOPS FP16, vastly outperforming RTX 2000 Ada's 12 TFLOPS. This disparity speeds AI training by orders of magnitude on H100.
What are the TDPs of these GPUs?▾
H100 PCIe consumes 700W, optimized for servers. RTX 2000 Ada uses 70W, ideal for workstations. Lower TDP reduces cooling needs for RTX.
Can RTX 2000 Ada handle LLM inference?▾
RTX 2000 Ada manages small LLMs with 16 GB VRAM and 12 TFLOPS FP16. Larger models exceed its capacity, favoring H100 PCIe for production.
What memory bandwidth do they offer?▾
H100 PCIe delivers 3350 GB/s, supporting huge data flows. RTX 2000 Ada provides 288 GB/s, adequate for lighter tasks. Bandwidth scales with workload intensity.
Which is cheaper to rent, the H100 or the RTX 2000 Ada?▾
Cloud rental prices for both the H100 and RTX 2000 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 2000 Ada?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.
Can I find H100 and RTX 2000 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 2000 Ada?▾
The H100 uses the Hopper architecture (2022) while the RTX 2000 Ada uses Ada Lovelace (2024). The H100 delivers 164.9x the FP16 throughput and 11.6x the memory bandwidth of the RTX 2000 Ada.