Specifications Compared
| Spec | H200 | RTX-2080 |
|---|---|---|
| TDP | 700W | 215W |
| VRAM | 141 GB | 8-11 GB |
| CUDA Cores | 16,896 | 2,944 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM, 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 | 4,800 GB/s | 616 GB/s |
Performance Analysis
The H200's FP16 throughput of 1979 TFLOPS vastly exceeds the RTX 2080's 10.1 TFLOPS, enabling faster AI model training where half-precision computations dominate. For FP32 tasks, H200 delivers 67 TFLOPS against RTX 2080's 10.1 TFLOPS, benefiting scientific simulations requiring single-precision accuracy. This disparity means training large language models on H200 completes in fractions of the time compared to RTX 2080, which struggles beyond small batches due to limited 8-11 GB VRAM.
Memory bandwidth defines scalability: H200's 4800 GB/s supports massive batch sizes in inference, reducing latency for real-time applications, while RTX 2080's 616 GB/s bottlenecks large datasets. In practice, H200 handles models exceeding 100 GB contexts without swapping, whereas RTX 2080 limits users to sub-10 GB models. FP8 capability on H200 at 3958 TFLOPS further accelerates quantized inference, unavailable on RTX 2080.
Power implications affect deployment: H200's 700W TDP suits rack-scale clusters with NVLink and InfiniBand, optimizing multi-GPU training efficiency. RTX 2080's 215W TDP favors edge or single-node setups but cannot match H200's throughput for memory-intensive workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | NVIDIA H200 SXM 141GB VRAM | 141GB | 24 vCPU 240GB RAM 3000GB Storage | London | $3.50/GPU/hr | 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 H200
Select the H200 for large-scale LLM training or inference where 141 GB HBM3e VRAM accommodates models over 100 GB. Its 4800 GB/s bandwidth enables batch sizes impossible on RTX 2080's 616 GB/s, reducing training times via 1979 TFLOPS FP16 performance. Datacenter form factors like SXM with PCIe 5.0 and InfiniBand suit enterprise clusters at $0.50/hr starting price.
High-throughput scientific computing benefits from H200's 67 TFLOPS FP32 and FP8 at 3958 TFLOPS, outperforming RTX 2080 in simulations requiring vast memory.
When to Choose the RTX 2080
Choose the RTX 2080 for budget prototyping or gaming workloads at $0.05/hr average $0.09/hr. Its 8-11 GB VRAM and 10.1 TFLOPS FP16 suffice for small model fine-tuning or Stable Diffusion on single nodes. Low 215W TDP and PCIe form factor fit personal or light cloud instances without cluster needs.
Legacy Turing tasks or non-AI rendering leverage NVLink interconnect efficiently on RTX 2080, avoiding H200's 700W power demands.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 support massive models and datasets, unlike RTX 2080's 8-11 GB limit.
4800 GB/s bandwidth on H200 handles large batch sizes for low-latency serving; RTX 2080's 616 GB/s causes bottlenecks.
Small models fit RTX 2080's 10.1 TFLOPS FP16 for cheap prototyping at $0.05/hr; scale to H200's 67 TFLOPS FP32 for larger ones.
RTX 2080's 8-11 GB VRAM suffices for image generation at 10.1 TFLOPS; H200 overkill for non-batch workloads.
H200's 3958 TFLOPS FP8 and 141 GB VRAM accelerate simulations; RTX 2080's 10.1 TFLOPS limits complex datasets.
Frequently Asked Questions
What is the VRAM difference between H200 and RTX 2080?▾
H200 provides 141 GB HBM3e VRAM, enabling large models. RTX 2080 offers 8-11 GB GDDR6, suitable only for smaller workloads. This gap affects batch sizes in AI tasks.
How do their FP16 performances compare?▾
H200 achieves 1979 TFLOPS FP16 for rapid training. RTX 2080 delivers 10.1 TFLOPS, nearly 200 times slower. Inference speeds reflect this delta.
What are the cloud pricing differences?▾
H200 starts at $0.50/hr, averaging $3.62/hr across 26 offers. RTX 2080 begins at $0.05/hr, averaging $0.09/hr over 6 offers. Budget tasks favor RTX 2080.
Which has higher memory bandwidth?▾
H200's 4800 GB/s supports high-throughput AI. RTX 2080's 616 GB/s limits large datasets. Bandwidth impacts training efficiency.
What are their TDPs?▾
H200 requires 700W for datacenter use. RTX 2080 uses 215W, ideal for low-power setups. Power scales with performance.
Can RTX 2080 handle LLM inference?▾
RTX 2080 manages small LLMs with 8-11 GB VRAM at 10.1 TFLOPS. Larger models exceed its capacity, requiring H200's 141 GB.
Which is cheaper to rent, the H200 or the RTX 2080?▾
Cloud rental prices for both the H200 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 H200 have compared to the RTX 2080?▾
The H200 has 141 GB of HBM3e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find H200 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 H200 and the RTX 2080?▾
The H200 uses the Hopper architecture (2024) while the RTX 2080 uses Turing (2018). The H200 delivers 195.9x the FP16 throughput and 7.8x the memory bandwidth of the RTX 2080.