Specifications Compared
| Spec | H100 | RTX-2080 |
|---|---|---|
| TDP | 700W | 215W |
| VRAM | 80-94 GB | 8-11 GB |
| CUDA Cores | 16,896 | 2,944 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 368 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 616 GB/s |
Performance Analysis
H100's FP16 performance of 1979 TFLOPS vastly outpaces RTX 2080's 10.1 TFLOPS: this enables H100 to accelerate AI training by handling mixed-precision computations at scales infeasible for RTX 2080. For inference, H100's FP8 capability at 3958 TFLOPS supports ultra-low latency on massive models, while RTX 2080 struggles beyond small batches due to its uniform 10.1 TFLOPS FP16 and FP32 rates.
Memory bandwidth creates the sharpest divide: H100's 3350 GB/s versus 616 GB/s allows larger batch sizes in training, reducing overhead for models exceeding 8 to 11 GB VRAM limits on RTX 2080. RTX 2080 suits prototyping where datasets fit within its constraints, but H100 processes enterprise-scale workloads without swapping. Power draw reflects this: 700W for H100 sustains peak throughput in sustained runs, against 215W for lighter RTX 2080 duties.
Real-world implications favor H100 for deep learning pipelines: its 80 to 94 GB HBM3 holds full parameter sets for billion-scale LLMs, enabling end-to-end training, whereas RTX 2080 requires model sharding or quantization.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| 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 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the H100 SXM5
NVIDIA H100 SXM5 excels in demanding AI workloads: its 1979 TFLOPS FP16 and 80 to 94 GB VRAM handle large-scale LLM training and inference without compromise. Choose it for production environments needing 3350 GB/s bandwidth to support high batch sizes and NVLink clustering across nodes.
When to Choose the RTX 2080
NVIDIA GeForce RTX 2080 fits cost-sensitive, low-volume tasks: at $0.05 per hour average, its 10.1 TFLOPS FP32 suffices for gaming, lightweight inference, or prototyping on datasets under 8 to 11 GB. It serves hobbyists or developers testing ideas before scaling to pricier hardware.
Use Cases
H100's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM enable efficient training of large language models with massive datasets. RTX 2080's 8 to 11 GB limits it to tiny models.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth support high-throughput inference on full-scale LLMs. RTX 2080's 10.1 TFLOPS cannot match speed or capacity.
H100 handles fine-tuning of billion-parameter models via 80 to 94 GB VRAM and superior FP16 rates. RTX 2080 works for small models but risks memory errors.
RTX 2080's 10.1 TFLOPS FP32 generates images adequately at low cost for casual use. H100 accelerates batch generation with 1979 TFLOPS FP16 for professionals.
H100's 67 TFLOPS FP32 and InfiniBand interconnect scale simulations across clusters. RTX 2080's 10.1 TFLOPS suits single-node desktop analysis.
Frequently Asked Questions
How much more powerful is the H100 SXM5 than RTX 2080 in FP16?▾
H100 delivers 1979 TFLOPS in FP16, approximately 196 times the RTX 2080's 10.1 TFLOPS. This gap accelerates AI workloads dramatically. Cloud users pay $3.56 per hour average for H100 versus $0.07 for RTX 2080.
What is the VRAM difference between H100 and RTX 2080?▾
H100 SXM5 provides 80 to 94 GB HBM3, dwarfing RTX 2080's 8 to 11 GB GDDR6. Larger VRAM on H100 supports massive models without offloading. RTX 2080 fits smaller tasks.
Which GPU has higher memory bandwidth?▾
H100 achieves 3350 GB/s, over five times RTX 2080's 616 GB/s. Higher bandwidth enables bigger batches in training. This defines H100 for datacenter use.
What are the power requirements?▾
H100 SXM5 consumes 700W TDP, compared to RTX 2080's 215W. Higher power sustains H100's peak performance in clusters. RTX 2080 runs efficiently on consumer setups.
Is RTX 2080 cheaper in the cloud?▾
RTX 2080 starts at $0.05 per hour averaging $0.07 across 2 offers, versus H100 SXM5's $0.80 minimum and $3.56 average across 33 offers. It suits budgets under $0.10 per hour. H100 justifies cost for high performance.
Can RTX 2080 handle AI training?▾
RTX 2080's 10.1 TFLOPS FP16 and 8 to 11 GB VRAM limit it to small models or prototypes. H100's 1979 TFLOPS and 80 to 94 GB excel in production training.
Which is cheaper to rent, the H100 or the RTX 2080?▾
Cloud rental prices for both the H100 and RTX 2080 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 2080?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find H100 and RTX 2080 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 2080?▾
The H100 uses the Hopper architecture (2022) while the RTX 2080 uses Turing (2018). The H100 delivers 195.9x the FP16 throughput and 5.4x the memory bandwidth of the RTX 2080.