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
Memory capacity creates the starkest divide: the H100's 80 to 94 GB HBM3 supports massive models and large batch sizes, while the RTX 2080's 8 to 11 GB GDDR6 limits it to smaller datasets. Bandwidth amplifies this: 3350 GB/s on the H100 enables rapid data movement for training large language models, allowing batch sizes up to 10 times larger than the RTX 2080's 616 GB/s constraint in memory-bound tasks.
FP16 performance favors the H100 overwhelmingly at 1979 TFLOPS versus 10.1 TFLOPS on the RTX 2080, accelerating mixed-precision training by over 190 times in theoretical throughput. The H100's FP32 at 67 TFLOPS still outpaces the RTX 2080's 10.1 TFLOPS, benefiting simulation workloads. FP8 capability on the H100 reaches 3958 TFLOPS, ideal for inference on quantized models, a feature absent in the older Turing design. These deltas translate to hours-long training on the RTX 2080 becoming minutes on the H100 for equivalent workloads.
Power efficiency shifts with scale: the H100's 700W TDP sustains peak output under NVLink and PCIe 5.0 interconnects, while the RTX 2080's 215W suits single-node setups but bottlenecks multi-GPU scaling.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100
| 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
The H100 proves superior for large-scale AI training and inference: its 80 to 94 GB VRAM handles models exceeding 70B parameters, and 1979 TFLOPS FP16 throughput cuts training times dramatically. Enterprise users benefit from 3350 GB/s bandwidth for high batch sizes in LLM fine-tuning or scientific simulations.
Datacenter deployments favor the H100's SXM5 and NVL form factors with NVLink, enabling multi-GPU clusters unavailable on the RTX 2080.
When to Choose the RTX 2080
The RTX 2080 fits budget-conscious prototyping: at $0.05 per hour minimum pricing, it runs small-scale inference or fine-tuning on models under 7B parameters using its 8 to 11 GB VRAM. Gaming or lightweight Stable Diffusion tasks leverage its 10.1 TFLOPS FP16 without the H100's 700W power demands.
Solo developers prefer the RTX 2080's PCIe form factor and low 215W TDP for desktop setups where cost averages $0.09 per hour.
Use Cases
The H100's 1979 TFLOPS FP16 and 80 to 94 GB VRAM support training models over 70B parameters with large batch sizes via 3350 GB/s bandwidth. The RTX 2080's 10.1 TFLOPS and 8 to 11 GB VRAM cannot handle such scales.
H100 FP8 at 3958 TFLOPS accelerates quantized inference for high throughput. RTX 2080 lacks FP8 and sufficient 616 GB/s bandwidth for production queries.
H100's 67 TFLOPS FP32 and massive VRAM enable efficient fine-tuning on datasets too large for RTX 2080's 10.1 TFLOPS and 8 to 11 GB limits.
RTX 2080's 10.1 TFLOPS suffices for 512x512 image generation at low cost. H100 excels for high-resolution or batch processing with 1979 TFLOPS FP16.
H100's 3350 GB/s bandwidth and NVLink support complex simulations. RTX 2080's 616 GB/s restricts large-scale HPC tasks.
Frequently Asked Questions
How much faster is the H100 than RTX 2080 in FP16?▾
The H100 achieves 1979 TFLOPS in FP16 compared to the RTX 2080's 10.1 TFLOPS, yielding approximately 196 times higher theoretical throughput. This gap accelerates AI training significantly. Real-world gains depend on workload optimization.
Can RTX 2080 handle LLM inference?▾
RTX 2080 supports inference for models under 7B parameters with its 8 to 11 GB VRAM. Larger models exceed capacity due to 616 GB/s bandwidth limits. H100 handles 70B plus via 80 to 94 GB HBM3.
What is the VRAM difference between H100 and RTX 2080?▾
H100 provides 80 to 94 GB HBM3 versus RTX 2080's 8 to 11 GB GDDR6. This enables 10 times larger batch sizes on H100. Bandwidth follows at 3350 GB/s versus 616 GB/s.
Is H100 worth the higher cloud price?▾
H100 averages $3.17 per hour across 56 offers, versus RTX 2080's $0.09 across 6. Performance at 1979 TFLOPS FP16 justifies cost for production AI. Budget tasks favor RTX 2080.
What TDP do H100 and RTX 2080 have?▾
H100 draws 700W TDP for sustained high output. RTX 2080 uses 215W, suiting low-power setups. Interconnects differ: H100 NVLink and PCIe 5.0, RTX 2080 PCIe.
Which GPU for Stable Diffusion?▾
RTX 2080 generates images at 10.1 TFLOPS FP16 for $0.05 per hour minimum. H100 scales to batches with 3350 GB/s bandwidth. Choice depends on resolution needs.
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.