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
The H200's 141 GB VRAM dwarfs the RTX 3080 Ti's 12 GB, enabling larger models and batch sizes in training without swapping to system RAM. Its 4800 GB/s bandwidth, over six times the 760 GB/s of RTX 3080 Ti, sustains high throughput for data-intensive tasks like LLM processing. This gap directly impacts real-world use: H200 handles massive datasets fluidly, while RTX 3080 Ti bottlenecks on large batches. In compute, H200's 1979 TFLOPS FP16 vastly exceeds 29.8 TFLOPS, accelerating half-precision training and inference by orders of magnitude. The FP16 to FP32 ratio reveals priorities: H200's 67 TFLOPS FP32 suits mixed-precision AI, whereas RTX 3080 Ti's equal 29.8 TFLOPS each favors graphics rendering over pure AI scaling. Memory advantages mean H200 supports enterprise-scale inference with minimal latency, contrasting RTX 3080 Ti's suitability for smaller, consumer-level workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 SXM
| 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 | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 48 vCPU 480GB RAM 6000GB Storage | London | $3.50/GPU/hr $7.00/hr total (2×) | Available |
When to Choose the H200 SXM
Choose the H200 SXM for large-scale AI training and inference where 141 GB VRAM fits entire LLMs without partitioning. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth excel in multi-GPU clusters via NVLink and InfiniBand, ideal for research labs or production deployments at $1.19 to $3.83 per hour. High TDP of 700W reflects power for sustained 3958 TFLOPS FP8 tasks.
When to Choose the RTX 3080 Ti
The RTX 3080 Ti suits budget-conscious users for gaming, Stable Diffusion, or small ML inference at $0.08 per hour average. Its 12 GB VRAM and 29.8 TFLOPS FP16 handle consumer creative workflows efficiently in PCIe form factor. Lower 320W TDP enables easy deployment in personal or light cloud setups without advanced interconnects.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 support massive models and large batches. RTX 3080 Ti's 12 GB limits scale.
4800 GB/s bandwidth on H200 enables high-throughput serving. RTX 3080 Ti bottlenecks at 760 GB/s for production.
H200's 67 TFLOPS FP32 and vast memory handle parameter-efficient tuning on large models. RTX 3080 Ti suits only small datasets.
RTX 3080 Ti's 29.8 TFLOPS FP16 delivers fast image generation at low $0.08 per hour cost. H200 overkill for single-user creative tasks.
H200's Hopper architecture and NVLink scale simulations with 3958 TFLOPS FP8. RTX 3080 Ti lacks interconnects for clusters.
Frequently Asked Questions
Which GPU has more VRAM, H200 SXM or RTX 3080 Ti?▾
The H200 SXM offers 141 GB HBM3e VRAM compared to 12 GB GDDR6X on RTX 3080 Ti. This enables H200 to load much larger AI models. RTX 3080 Ti suffices for smaller workloads.
How do cloud prices compare for H200 SXM and RTX 3080 Ti?▾
H200 SXM starts at $1.19 per hour averaging $3.83 across 21 offers. RTX 3080 Ti begins at $0.08 per hour averaging $0.14 across 4 offers. Budget tasks favor RTX 3080 Ti.
What is the FP16 performance difference?▾
H200 SXM achieves 1979 TFLOPS FP16 versus 29.8 TFLOPS on RTX 3080 Ti. This gap accelerates AI training significantly on H200. Inference speeds follow similar patterns.
Which is better for LLM training?▾
H200 SXM excels with 141 GB VRAM and 4800 GB/s bandwidth for large batches. RTX 3080 Ti's 12 GB VRAM restricts model sizes. Use H200 for production-scale training.
Can RTX 3080 Ti handle Stable Diffusion well?▾
RTX 3080 Ti generates images quickly at 29.8 TFLOPS FP16 and $0.14 per hour average. Its 760 GB/s bandwidth supports typical resolutions. H200 unnecessary for hobbyists.
What are the power requirements?▾
H200 SXM has 700W TDP for datacenter use. RTX 3080 Ti draws 320W, easier for consumer setups. Higher TDP on H200 correlates with superior 1979 TFLOPS FP16.
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.