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
H200's FP16 performance reaches 1979 TFLOPS compared to RTX 3080's 29.8 TFLOPS, enabling 66 times faster matrix operations critical for AI training and inference. The FP32 rate on H200 is 67 TFLOPS against RTX 3080's matching 29.8 TFLOPS FP16/FP32, meaning H200 prioritizes low-precision AI acceleration while RTX 3080 balances graphics and compute evenly. This delta favors H200 for transformer models where FP16 or FP8 dominates, reducing training epochs significantly.
Memory specs transform workloads: H200's 141 GB HBM3e at 4800 GB/s supports massive batch sizes for LLMs exceeding 70B parameters, preventing out-of-memory errors common on RTX 3080's 10-12 GB GDDR6X at 760 GB/s. Higher bandwidth on H200 cuts data loading latency by over 6x, boosting throughput in memory-bound tasks like fine-tuning. RTX 3080 handles smaller batches adequately for prototyping but throttles on large datasets.
Power and interconnects amplify gaps: H200's 700W TDP sustains peaks via advanced cooling in SXM/NVL, paired with NVLink for 900 GB/s GPU-to-GPU links, versus RTX 3080's 320W PCIe limits. Real-world inference on H200 yields thousands of tokens per second for large models, while RTX 3080 suits sub-7B models at modest speeds.
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 |
When to Choose the H200
Select H200 for large-scale LLM training or inference where 141 GB HBM3e VRAM fits models up to hundreds of billions of parameters without quantization. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth enable batch sizes 10x larger than RTX 3080, slashing time-to-results in datacenter clusters via NVLink and InfiniBand. Cloud pricing at $0.50 to $3.62 per hour across 26 offers suits enterprises prioritizing throughput over cost.
When to Choose the RTX 3080
Opt for RTX 3080 in budget-constrained prototyping, gaming, or small-scale inference with models under 7B parameters fitting its 10-12 GB GDDR6X. At $0.06 to $0.15 per hour across 10 offers, it delivers 29.8 TFLOPS FP16/FP32 for quick Stable Diffusion generations or fine-tuning without multi-GPU overhead. Its 320W PCIe form factor integrates easily into desktop or edge cloud setups for non-critical tasks.
Use Cases
H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support training models over 70B parameters with large batches. RTX 3080's 10-12 GB restricts it to tiny models or heavy quantization.
H200 enables high-throughput serving of large LLMs via 4800 GB/s bandwidth and FP8 at 3958 TFLOPS. RTX 3080 manages small models but bottlenecks on memory for production scale.
H200's 67 TFLOPS FP32 and vast VRAM accelerate full fine-tuning of mid-to-large models. RTX 3080 suffices for LoRA on small models but slows on datasets needing high bandwidth.
RTX 3080's 29.8 TFLOPS FP16/FP32 generates images quickly at 10-12 GB VRAM for standard resolutions. H200 overkills for single-user creative tasks given its $3.62/hr average cost.
H200's Hopper architecture and NVLink excel in parallel simulations requiring 4800 GB/s bandwidth. RTX 3080's PCIe limits multi-GPU HPC scaling.
Frequently Asked Questions
What is the VRAM capacity of H200 versus RTX 3080?▾
H200 provides 141 GB HBM3e VRAM, enabling large models and batches. RTX 3080 offers 10-12 GB GDDR6X, suitable for smaller workloads. This 12x difference impacts model size feasibility.
How do FP16 performance levels compare?▾
H200 achieves 1979 TFLOPS FP16, 66 times RTX 3080's 29.8 TFLOPS. This gap accelerates AI training and inference dramatically on H200. RTX 3080 performs adequately for lighter tasks.
What are the cloud rental prices for these GPUs?▾
H200 starts at $0.50 per hour, averaging $3.62 per hour across 26 offers. RTX 3080 begins at $0.06 per hour, averaging $0.15 per hour over 10 offers. Budget drives RTX 3080 selection.
Does H200 have better memory bandwidth than RTX 3080?▾
H200 delivers 4800 GB/s, over 6 times RTX 3080's 760 GB/s. Higher bandwidth reduces latency in data-heavy AI tasks. This benefits large batch processing on H200.
What TDP do H200 and RTX 3080 have?▾
H200 consumes 700W TDP for sustained high performance in datacenters. RTX 3080 uses 320W, easier for consumer setups. Power needs influence deployment choices.
Can RTX 3080 handle LLM inference like H200?▾
RTX 3080 manages inference for models under 7B parameters with 29.8 TFLOPS FP16. H200 supports much larger LLMs via 141 GB VRAM and 1979 TFLOPS. Scale determines the pick.
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.