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 throughput of 1979 TFLOPS towers over RTX 2070's 7.5 TFLOPS: this enables model training 260 times faster in half-precision, critical for deep learning where FP16 reduces memory use without accuracy loss. FP32 on H200 at 67 TFLOPS suits scientific simulations, far exceeding RTX 2070's 7.5 TFLOPS and accelerating general compute.
Memory specs define real-world limits: H200's 141 GB VRAM supports batch sizes for 100B+ parameter LLMs, avoiding swaps that plague RTX 2070's 8 GB. Bandwidth of 4800 GB/s on H200 sustains high throughput for large datasets, compared to 448 GB/s on RTX 2070, which bottlenecks inference on bigger models.
Power draw underscores efficiency: H200's 700W TDP powers extreme performance via SXM form factor and NVLink, while RTX 2070's 175W fits PCIe slots for lighter loads. Inference benefits from H200's FP8 at 3958 TFLOPS, enabling high-query-per-second serving unattainable on RTX 2070.
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 | 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 SXM
H200 excels in production AI pipelines: its 141 GB VRAM and 4800 GB/s bandwidth manage massive LLMs during training or inference, with FP16 at 1979 TFLOPS slashing epochs. At $1.19 per hour minimum cloud rate, it justifies cost for enterprises needing NVLink scalability across multi-GPU setups.
When to Choose the RTX 2070
RTX 2070 fits hobbyist or prototyping needs: 8 GB VRAM and 7.5 TFLOPS FP32 handle small ML models, Stable Diffusion, or gaming at $0.02 per hour average. Low 175W TDP and PCIe compatibility suit single-user desktops without datacenter infrastructure.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 support billion-parameter models with large batches; RTX 2070's 8 GB causes out-of-memory failures.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput serving; RTX 2070's 448 GB/s limits to low-volume queries.
H200's 67 TFLOPS FP32 accelerates parameter-efficient tuning on large datasets; RTX 2070's 7.5 TFLOPS suits only micro-models.
RTX 2070's 8 GB VRAM and 7.5 TFLOPS FP16 generate images at low cost of $0.02 per hour; H200 overkill at $3.83 per hour.
H200's 67 TFLOPS FP32 and NVLink handle simulations; RTX 2070's 7.5 TFLOPS restricts to basic tasks.
Frequently Asked Questions
What is the VRAM difference between H200 and RTX 2070?▾
H200 provides 141 GB HBM3e VRAM, enabling massive models. RTX 2070 offers 8 GB GDDR6, suitable for smaller workloads. This gap affects batch sizes in training.
How does H200 FP16 performance compare to RTX 2070?▾
H200 delivers 1979 TFLOPS FP16, over 260 times RTX 2070's 7.5 TFLOPS. Training accelerates dramatically on H200. Inference sees similar gains.
What are the cloud prices for these GPUs?▾
H200 SXM starts at $1.19 per hour, averaging $3.83 across 21 offers. RTX 2070 starts at $0.02 per hour, averaging $0.04 across 2 offers. Budget tasks favor RTX 2070.
Is RTX 2070 viable for AI training?▾
RTX 2070's 8 GB VRAM and 7.5 TFLOPS FP16 limit it to small models under 1B parameters. Larger tasks fail due to memory constraints. Prototyping works at low cost.
Why choose H200 for inference?▾
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth support high QPS for LLMs. RTX 2070's 448 GB/s bottlenecks scale. Production demands H200.
What architectures power these GPUs?▾
H200 uses Hopper from 2024 with PCIe 5.0 and InfiniBand. RTX 2070 employs Turing from 2018 with PCIe. H200 suits datacenters; RTX 2070 consumer setups.
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.