Specifications Compared
| Spec | H200 | RTX-2070 |
|---|---|---|
| TDP | 700W | 175W |
| VRAM | 141 GB | 8 GB |
| CUDA Cores | 16,896 | 2,304 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 288 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 67 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 448 GB/s |
Performance Analysis
H200's FP16 performance reaches 1979 TFLOPS, over 263 times the RTX 2070's 7.5 TFLOPS, accelerating AI training and mixed-precision inference significantly. Its FP32 at 67 TFLOPS, nearly nine times higher, benefits general simulations and graphics rendering. The FP8 rate of 3958 TFLOPS on H200 optimizes low-precision inference for deploying large models efficiently.
Memory bandwidth of 4800 GB/s on H200 supports vast batch sizes in training, minimizing overhead from data movement, unlike the 448 GB/s on RTX 2070 which limits scale. With 141 GB VRAM, H200 loads enormous models in one go; RTX 2070's 8 GB forces model sharding or smaller batches. TDP stands at 700W for H200 versus 175W, reflecting datacenter versus consumer power profiles.
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
Select the H200 NVL for demanding AI training of large language models, where 141 GB VRAM holds full parameter sets and 1979 TFLOPS FP16 cuts training time. It excels in high-throughput inference leveraging 3958 TFLOPS FP8 and 4800 GB/s bandwidth for production serving.
H200 suits multi-GPU clusters via NVLink and PCIe 5.0, ideal for scientific computing at 67 TFLOPS FP32.
When to Choose the RTX 2070
The RTX 2070 fits budget prototyping, small-scale inference, or gaming at $0.02 per hour starting price. Its 8 GB VRAM and 7.5 TFLOPS FP16 handle lightweight models without excessive cost.
Choose RTX 2070 for low-power setups at 175W TDP or single-GPU tasks like basic Stable Diffusion runs.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 enable training billion-parameter models in full precision. RTX 2070's 8 GB VRAM cannot accommodate such scales.
H200 delivers 3958 TFLOPS FP8 for high-throughput serving with 4800 GB/s bandwidth. RTX 2070's 7.5 TFLOPS FP16 limits speed on large models.
H200's massive VRAM supports fine-tuning large models without offloading. RTX 2070 works for small models but bottlenecks on datasets.
RTX 2070's 8 GB VRAM and 7.5 TFLOPS suffice for image generation at low cost of $0.04 per hour average. H200 overkill for consumer creative tasks.
H200's 67 TFLOPS FP32 and 4800 GB/s bandwidth accelerate simulations. RTX 2070's matching 7.5 TFLOPS FP32 falls short for complex workloads.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA H200 NVL versus RTX 2070?▾
NVIDIA H200 NVL features 141 GB HBM3e VRAM, enabling large model handling. RTX 2070 has 8 GB GDDR6, suitable for smaller workloads. This 17-fold difference impacts AI scalability.
How do compute performances compare between H200 and RTX 2070?▾
H200 achieves 1979 TFLOPS FP16 and 67 TFLOPS FP32, versus 7.5 TFLOPS for both on RTX 2070. H200's FP8 reaches 3958 TFLOPS for inference. These gaps yield hundreds-fold speedups in AI tasks.
What are the cloud pricing differences for these GPUs?▾
H200 NVL starts at $0.50 per hour, averaging $2.39 across four offers. RTX 2070 begins at $0.02 per hour, averaging $0.04 across two offers. RTX 2070 offers extreme cost savings for light use.
How does memory bandwidth differ?▾
H200 provides 4800 GB/s, supporting large-batch training. RTX 2070 offers 448 GB/s, over 10 times less. Higher bandwidth on H200 reduces data bottlenecks.
What are the TDP ratings?▾
H200 has a 700W TDP for datacenter density. RTX 2070 uses 175W, fitting consumer power budgets. This affects deployment cooling needs.
Which architecture and year for each GPU?▾
H200 uses Hopper architecture from 2024. RTX 2070 employs Turing from 2018. The six-year gap underscores H200's advancements.
Which is cheaper to rent, the H200 or the RTX 2070?▾
Cloud rental prices for both the H200 and RTX 2070 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 2070?▾
The H200 has 141 GB of HBM3e memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find H200 and RTX 2070 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 2070?▾
The H200 uses the Hopper architecture (2024) while the RTX 2070 uses Turing (2018). The H200 delivers 263.9x the FP16 throughput and 10.7x the memory bandwidth of the RTX 2070.