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
The H100 SXM5 vastly outpaces the RTX 2080 Ti in compute performance: 1979 TFLOPS FP16 versus 10.1 TFLOPS enables training large neural networks up to 196 times faster. FP32 performance reaches 67 TFLOPS on H100 SXM5 against 10.1 TFLOPS on RTX 2080 Ti, benefiting scientific simulations and general compute tasks. FP8 at 3958 TFLOPS on H100 SXM5 accelerates quantized inference for LLMs, a capability absent in the older Turing GPU. Memory differences prove critical: 3350 GB/s bandwidth on H100 SXM5 supports massive batch sizes for models exceeding 80 GB VRAM, while 616 GB/s and 11 GB on RTX 2080 Ti limit it to smaller datasets prone to out-of-memory errors. In training scenarios, the H100 SXM5 handles full precision workflows efficiently; inference benefits from its FP8 tensor cores for low-latency serving. Power draw underscores trade-offs: 700W TDP for H100 SXM5 demands robust cooling versus 215W for RTX 2080 Ti.
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 Ti
| 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
Choose the H100 SXM5 for large-scale AI training and inference where 80 to 94 GB HBM3 VRAM accommodates billion-parameter models. Its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 deliver throughput unattainable on consumer hardware, ideal for enterprise deployments. High interconnects like NVLink and InfiniBand enable multi-GPU scaling across clusters.
When to Choose the RTX 2080 Ti
Opt for the RTX 2080 Ti in cost-sensitive prototyping or gaming workloads at $0.06 per hour starting price. Its 11 GB GDDR6 suffices for small model fine-tuning or Stable Diffusion at 10.1 TFLOPS FP16. Low 215W TDP fits edge or desktop setups without datacenter infrastructure.
Use Cases
H100 SXM5's 80 to 94 GB VRAM and 1979 TFLOPS FP16 handle massive LLMs without splitting, unlike RTX 2080 Ti's 11 GB limit.
3958 TFLOPS FP8 on H100 SXM5 accelerates high-throughput serving of large models; RTX 2080 Ti's 10.1 TFLOPS FP16 cannot match latency or scale.
67 TFLOPS FP32 and 3350 GB/s bandwidth on H100 SXM5 support efficient fine-tuning of models over 11 GB; RTX 2080 Ti restricts batch sizes.
RTX 2080 Ti generates images adequately at 10.1 TFLOPS for standard resolutions; H100 SXM5 excels in high-resolution or batched production with 80 GB VRAM.
H100 SXM5's 67 TFLOPS FP32 outperforms RTX 2080 Ti's 10.1 TFLOPS for simulations; NVLink interconnect aids multi-GPU parallelism.
Frequently Asked Questions
How much faster is H100 SXM5 than RTX 2080 Ti in FP16?▾
H100 SXM5 achieves 1979 TFLOPS FP16 versus RTX 2080 Ti's 10.1 TFLOPS, roughly 196 times higher peak throughput. This translates to dramatically faster AI training. Real-world gains depend on workload optimization.
What is the VRAM difference between H100 SXM5 and RTX 2080 Ti?▾
H100 SXM5 offers 80 to 94 GB HBM3 compared to RTX 2080 Ti's 11 GB GDDR6. This enables loading much larger models without quantization. Bandwidth follows at 3350 GB/s versus 616 GB/s.
Which has lower cloud pricing?▾
RTX 2080 Ti starts at $0.06 per hour averaging $0.11 per hour across 6 offers, far below H100 SXM5's $0.80 per hour start and $3.56 average over 33 offers. Budget users favor RTX for light tasks.
Can RTX 2080 Ti handle LLM inference?▾
RTX 2080 Ti manages small LLMs with 11 GB VRAM at 10.1 TFLOPS FP16 but struggles with larger ones due to memory limits. H100 SXM5's 3958 TFLOPS FP8 serves production-scale models efficiently.
What are the power requirements?▾
H100 SXM5 draws 700W TDP requiring datacenter power, while RTX 2080 Ti uses 215W suitable for consumer setups. This affects deployment costs and cooling needs.
Is H100 SXM5 compatible with consumer workloads?▾
H100 SXM5 excels in SXM5 form factors with NVLink but supports PCIe; it overkills gaming versus RTX 2080 Ti. Use it for AI where 1979 TFLOPS FP16 shines.
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.