Specifications Compared
| Spec | H100 | RTX-2060 |
|---|---|---|
| TDP | 700W | 160W |
| VRAM | 80-94 GB | 6-12 GB |
| CUDA Cores | 16,896 | 1,920 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 240 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 67 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 336 GB/s |
Performance Analysis
The H100 PCIe vastly outpaces the RTX 2060 SUPER in compute capability: its 1979 TFLOPS FP16 performance enables training of massive models in hours, while the RTX 2060 SUPER's 13 TFLOPS limits it to small-scale or toy datasets. This FP16 delta proves critical for deep learning training, where mixed-precision workflows dominate, potentially accelerating iterations by over 150 times on the H100 PCIe. FP32 performance follows suit at 67 TFLOPS versus 7 TFLOPS, benefiting scientific simulations and rendering that rely on single-precision arithmetic. Memory bandwidth disparities further amplify real-world impacts: the H100 PCE's 3350 GB/s supports enormous batch sizes for stable training of large language models, whereas the RTX 2060 SUPER's 448 GB/s causes bottlenecks with batches exceeding 16-32 samples. VRAM capacity seals the advantage, as 80-94 GB on the H100 PCIe accommodates full model loading for billion-parameter networks, impossible on 8 GB.
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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
When to Choose the H100 PCIe
Professionals select the H100 PCIe for demanding AI workloads: its 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle large-scale LLM training and inference without compromise. Cloud availability at $1.25 per hour from 17 providers suits teams needing burst capacity for fine-tuning or scientific computing on datasets exceeding 8 GB. The 3350 GB/s bandwidth ensures optimal throughput in multi-GPU clusters via NVLink or PCIe 5.0.
When to Choose the RTX 2060 SUPER
Budget-conscious users or hobbyists opt for the RTX 2060 SUPER in local setups: its 175W TDP and PCIe form factor integrate easily into consumer desktops for light gaming or basic inference. With 8 GB GDDR6 VRAM and 448 GB/s bandwidth, it suffices for Stable Diffusion at 512x512 resolutions or fine-tuning small models under 1B parameters. Absence of cloud offers favors owned hardware for low-volume tasks avoiding rental costs.
Use Cases
The H100 PCE's 80-94 GB VRAM and 1979 TFLOPS FP16 support full loading and rapid training of billion-parameter models. The RTX 2060 SUPER's 8 GB VRAM cannot accommodate such scales.
H100 PCE's 3350 GB/s bandwidth enables high-throughput serving with large batches. RTX 2060 SUPER struggles with memory constraints for production inference.
67 TFLOPS FP32 and vast VRAM on H100 PCIe accelerate fine-tuning of mid-sized models efficiently. RTX 2060 SUPER suits only tiny models due to 7 TFLOPS and 8 GB limits.
RTX 2060 SUPER generates images at usable speeds with 448 GB/s bandwidth locally. H100 PCIe excels for high-resolution or batch production but at higher cost.
H100 PCE's 67 TFLOPS FP32 outperforms RTX 2060 SUPER's 7 TFLOPS for simulations. Superior interconnects like PCIe 5.0 aid clustered workloads.
Frequently Asked Questions
What is the VRAM difference between H100 PCIe and RTX 2060 SUPER?▾
The H100 PCIe provides 80 to 94 GB HBM3 VRAM, dwarfing the RTX 2060 SUPER's 8 GB GDDR6. This enables the H100 PCIe to load massive AI models entirely in memory. The RTX 2060 SUPER requires heavy optimization for models over 6 GB.
How do FP16 performances compare?▾
H100 PCIe delivers 1979 TFLOPS FP16, over 152 times the RTX 2060 SUPER's 13 TFLOPS. This gap accelerates AI training dramatically on H100 PCIe. Consumer tasks remain viable on RTX 2060 SUPER at slower speeds.
What are the cloud pricing details?▾
NVIDIA H100 PCIe rentals start at $1.25 per hour, averaging $2.75 per hour across 17 live offers. No live cloud offers exist for RTX 2060 SUPER. Users must rely on local ownership for the latter.
Which has higher memory bandwidth?▾
H100 PCIe offers 3350 GB/s, about 7.5 times the RTX 2060 SUPER's 448 GB/s. Higher bandwidth on H100 PCIe supports larger batch sizes in training. RTX 2060 SUPER suffices for gaming or small ML batches.
What are the TDP ratings?▾
H100 PCIe consumes 700W TDP, suited for datacenter cooling. RTX 2060 SUPER uses 175W, ideal for standard desktops. Power differences reflect their enterprise versus consumer designs.
Is RTX 2060 SUPER good for AI?▾
RTX 2060 SUPER handles basic AI like Stable Diffusion with 13 TFLOPS FP16 and 8 GB VRAM. It falls short for professional LLM work compared to H100 PCE's 1979 TFLOPS. Local use keeps costs low for hobbyists.
Which is cheaper to rent, the H100 or the RTX 2060?▾
Cloud rental prices for both the H100 and RTX 2060 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 2060?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find H100 and RTX 2060 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 2060?▾
The H100 uses the Hopper architecture (2022) while the RTX 2060 uses Turing (2019). The H100 delivers 304.5x the FP16 throughput and 10.0x the memory bandwidth of the RTX 2060.