Specifications Compared
| Spec | H200 | RTX-3080 |
|---|---|---|
| TDP | 700W | 320W |
| VRAM | 141 GB | 10-12 GB |
| CUDA Cores | 16,896 | 8,704 |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Hopper | Ampere |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 272 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 29.8 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 760 GB/s |
Performance Analysis
Raw compute power defines the H200's dominance in AI tasks: its 1979 TFLOPS FP16 vastly exceeds the RTX 3080's 29.8 TFLOPS, enabling faster training and inference for large neural networks. The FP16 to FP32 ratio on H200 (1979 TFLOPS to 67 TFLOPS) optimizes mixed-precision training common in deep learning, while RTX 3080's parity at 29.8 TFLOPS suits graphics but limits AI efficiency. FP8 support at 3958 TFLOPS on H200 further accelerates quantized inference.
Memory subsystems amplify real-world disparities. H200's 4800 GB/s bandwidth supports enormous batch sizes for models exceeding 10-12 GB VRAM limits of RTX 3080, preventing out-of-memory errors in LLM training. RTX 3080's 760 GB/s bandwidth constrains it to smaller datasets or models, slowing iterations on memory-intensive tasks like fine-tuning.
Interconnects seal the gap for scaled deployments: H200's NVLink, PCIe 5.0, and InfiniBand enable multi-GPU clusters, unlike RTX 3080's basic PCIe. These factors translate to H200 completing epochs in minutes where RTX 3080 requires hours.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 NVL
| 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 | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
When to Choose the H200 NVL
The H200 NVL excels in enterprise-scale AI: its 141 GB HBM3e VRAM handles massive LLMs during training or inference, where RTX 3080's 10-12 GB fails. High bandwidth of 4800 GB/s supports large batch sizes, reducing time-to-results in scientific computing or fine-tuning.
Datacenter users prioritize H200's 1979 TFLOPS FP16 and NVLink for multi-node clusters, justifying $0.50 to $2.39 per hour pricing over consumer alternatives.
When to Choose the RTX 3080
Budget prototyping favors the RTX 3080: at $0.06 to $0.13 per hour, it delivers 29.8 TFLOPS FP32 for Stable Diffusion or small-scale inference without H200's overhead.
Solo developers or gamers select RTX 3080's 320W TDP and PCIe form factor for lightweight tasks, where 10-12 GB VRAM suffices and 760 GB/s bandwidth avoids overkill costs.
Use Cases
H200's 141 GB VRAM and 4800 GB/s bandwidth handle massive datasets and models, while RTX 3080's 10-12 GB limits scale. FP16 performance of 1979 TFLOPS accelerates epochs dramatically.
Large models require H200's 141 GB VRAM to avoid swapping; 3958 TFLOPS FP8 ensures low-latency serving. RTX 3080 suits only tiny models.
H200 supports full fine-tuning of billion-parameter models with 1979 TFLOPS FP16. RTX 3080's 10-12 GB VRAM restricts to LoRA on small models.
RTX 3080's 29.8 TFLOPS FP32 generates images efficiently at 10-12 GB VRAM for standard resolutions. H200 overpowers for non-batch needs.
H200's 67 TFLOPS FP32 and NVLink excel in simulations needing high precision and multi-GPU scaling. RTX 3080 lacks bandwidth for large grids.
Frequently Asked Questions
How much more VRAM does H200 have than RTX 3080?▾
H200 provides 141 GB HBM3e VRAM, over 11 times the RTX 3080's 10-12 GB GDDR6X. This enables loading full large language models without quantization. RTX 3080 requires model sharding or smaller variants.
What is the FP16 performance difference between H200 and RTX 3080?▾
H200 delivers 1979 TFLOPS FP16, about 66 times the RTX 3080's 29.8 TFLOPS. This gap speeds AI training significantly. Inference benefits similarly in mixed precision.
How do cloud prices compare for H200 NVL and RTX 3080?▾
H200 NVL starts at $0.50 per hour with average $2.39 per hour across four offers. RTX 3080 starts at $0.06 per hour, average $0.13 per hour. Cost reflects datacenter versus consumer positioning.
Can RTX 3080 handle LLM inference like H200?▾
RTX 3080 manages small LLMs up to 10-12 GB with 29.8 TFLOPS FP16. H200's 141 GB and 1979 TFLOPS support production-scale models. Consumer GPU suits prototyping only.
What is the memory bandwidth gap?▾
H200 offers 4800 GB/s, over six times RTX 3080's 760 GB/s. Higher bandwidth boosts batch sizes in training. It prevents bottlenecks in data-heavy workloads.
Is H200 worth the higher TDP and price?▾
H200's 700W TDP powers 1979 TFLOPS FP16 versus RTX 3080's 320W for 29.8 TFLOPS. For AI scale, yes; pricing at $2.39 average per hour yields faster ROI. Gaming skips it.
Which is cheaper to rent, the H200 or the RTX 3080?▾
Cloud rental prices for both the H200 and RTX 3080 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 3080?▾
The H200 has 141 GB of HBM3e memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find H200 and RTX 3080 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 3080?▾
The H200 uses the Hopper architecture (2024) while the RTX 3080 uses Ampere (2020). The H200 delivers 66.4x the FP16 throughput and 6.3x the memory bandwidth of the RTX 3080.