Specifications Compared
| Spec | H100 | RTX-2070 |
|---|---|---|
| TDP | 700W | 175W |
| 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 | NVLink |
| Tensor Cores | 528 | 288 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 67 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 448 GB/s |
Performance Analysis
Spec differences translate to dramatic real-world disparities in AI tasks. The H100 PCE's 1979 TFLOPS FP16 performance accelerates neural network training by orders of magnitude over the RTX 2070 SUPER's 7.5 TFLOPS, reducing epoch times for large datasets. The FP32 delta, 67 TFLOPS versus 7.5 TFLOPS, benefits precision-demanding simulations and graphics rendering.
Memory bandwidth of 3350 GB/s on the H100 PCIe supports enormous batch sizes in training and inference, minimizing data loading bottlenecks. The RTX 2070 SUPER's 448 GB/s limits batch sizes, prolonging runtimes for memory-intensive models. With 80 to 94 GB VRAM, the H100 PCIe loads entire large language models in memory; the 8 GB on RTX 2070 SUPER forces fragmentation and swapping, degrading efficiency.
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 |
When to Choose the H100 PCIe
Choose the NVIDIA H100 PCIe for demanding AI training, inference, or scientific computing in cloud environments. Its 1979 TFLOPS FP16, 3350 GB/s bandwidth, and 80 to 94 GB VRAM handle massive models infeasible on the RTX 2070 SUPER. Rental from $1.25 per hour suits scalable, on-demand workloads across SXM5, PCIe, or NVL form factors with NVLink and PCIe 5.0 interconnects.
When to Choose the RTX 2070 SUPER
The NVIDIA GeForce RTX 2070 SUPER suits gaming, light content creation, or hobbyist compute on local desktops. Its 175W TDP integrates easily into consumer PCs, unlike the 700W H100 PCIe requiring datacenter cooling. With no cloud pricing and PCIe form factor, it offers cost-free ownership for tasks within 7.5 TFLOPS FP32 and 8 GB VRAM limits.
Use Cases
H100 PCE's 1979 TFLOPS FP16 and 80-94 GB VRAM support large-scale training; RTX 2070 SUPER's 7.5 TFLOPS and 8 GB VRAM cannot handle model sizes.
3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 PCIe enable high-throughput serving; RTX 2070 SUPER's specs limit to small models.
67 TFLOPS FP32 and vast VRAM accelerate fine-tuning on H100 PCIe; 8 GB on RTX 2070 SUPER restricts dataset sizes.
H100 PCE's memory bandwidth and FP16 performance generate images faster at scale; RTX 2070 SUPER suffices for basic local use but slower.
H100 PCE's 67 TFLOPS FP32 and interconnects like NVLink excel in simulations; RTX 2070 SUPER's lower specs fit small-scale only.
Frequently Asked Questions
How much more powerful is the H100 PCIe than RTX 2070 SUPER in FP16?▾
The H100 PCIe delivers 1979 TFLOPS FP16, over 260 times the RTX 2070 SUPER's 7.5 TFLOPS. This gap accelerates AI training significantly. Inference benefits similarly from the disparity.
What is the VRAM comparison between H100 PCIe and RTX 2070 SUPER?▾
H100 PCIe offers 80-94 GB HBM3 versus 8 GB GDDR6 on RTX 2070 SUPER. Larger VRAM enables full loading of huge models on H100. RTX limits to smaller workloads.
Is H100 PCIe available on cloud with pricing?▾
NVIDIA H100 PCIe clouds start at $1.25 per hour, averaging $2.75 across 17 offers. No live cloud offers exist for RTX 2070 SUPER. Rentals favor bursty pro tasks.
How does memory bandwidth differ?▾
H100 PCIe provides 3350 GB/s, about 7.5 times the RTX 2070 SUPER's 448 GB/s. Higher bandwidth supports larger batches in training. It reduces data transfer overhead.
What are the power requirements?▾
H100 PCIe has 700W TDP for datacenter use; RTX 2070 SUPER uses 175W for desktops. Lower TDP eases consumer integration. H100 demands robust infrastructure.
Can RTX 2070 SUPER handle AI like H100 PCIe?▾
RTX 2070 SUPER's 7.5 TFLOPS FP16 suits light AI; H100 PCE's 1979 TFLOPS handles enterprise scale. Memory limits RTX to prototypes. H100 excels in production.
Which is cheaper to rent, the H100 or the RTX 2070?▾
Cloud rental prices for both the H100 and RTX 2070 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 2070?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find H100 and RTX 2070 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 2070?▾
The H100 uses the Hopper architecture (2022) while the RTX 2070 uses Turing (2018). The H100 delivers 263.9x the FP16 throughput and 7.5x the memory bandwidth of the RTX 2070.