Specifications Compared
| Spec | GTX-1070 | H200 |
|---|---|---|
| TDP | 150W | 700W |
| VRAM | 8 GB | 141 GB |
| CUDA Cores | 1,920 | 16,896 |
| Memory Type | GDDR5 | HBM3e |
| Architecture | Pascal | Hopper |
| Form Factors | PCIe | SXM, NVL |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| FP16 Performance | 6.5 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 67 TFLOPS |
| Memory Bandwidth | 256 GB/s | 4,800 GB/s |
Performance Analysis
Compute differences dominate: the H200 NVL achieves 1979 TFLOPS FP16 versus the GTX 1070's 6.5 TFLOPS, a 304-fold increase ideal for AI training where half-precision prevails. FP32 on H200 NVL reaches 67 TFLOPS against 6.5 TFLOPS, still over ten times higher for precise simulations. The GTX 1070's equal FP16 and FP32 ratios favor graphics rendering over tensor operations.
Memory specs reshape workloads: 4800 GB/s bandwidth and 141 GB VRAM on H200 NVL enable enormous batch sizes for large language models, reducing iteration times. GTX 1070's 256 GB/s and 8 GB limit it to small models or low-resolution inference. FP8 at 3958 TFLOPS on H200 NVL further boosts quantized inference efficiency.
Power scales accordingly: 700W TDP on H200 NVL demands robust cooling, while 150W on GTX 1070 fits standard PCs.
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 GTX 1070
The GTX 1070 fits gaming desktops or entry-level compute on local hardware. Its 150W TDP and PCIe compatibility integrate seamlessly into consumer systems without specialized infrastructure. With 6.5 TFLOPS FP32, it handles light prototyping or Stable Diffusion at reduced scales where cloud access proves unnecessary.
Absence of live cloud offers positions it for used-market acquisitions, ideal for hobbyists avoiding rental costs.
When to Choose the H200 NVL
The H200 NVL dominates AI pipelines needing vast resources. 141 GB VRAM accommodates full-scale LLMs, and 4800 GB/s bandwidth supports high-throughput training. NVLink and InfiniBand enable multi-GPU clusters for distributed computing.
Cloud availability from $0.50 per hour suits teams scaling inference or fine-tuning without upfront hardware investment.
Use Cases
H200 NVL's 1979 TFLOPS FP16 and 141 GB VRAM manage billion-parameter models at scale. GTX 1070's 8 GB and 6.5 TFLOPS cannot sustain large batches.
3958 TFLOPS FP8 and 4800 GB/s bandwidth on H200 NVL deliver low-latency serving for production. GTX 1070 limits throughput with 256 GB/s.
67 TFLOPS FP32 and high VRAM on H200 NVL accelerate parameter-efficient tuning. GTX 1070's modest specs prolong small-dataset runs.
GTX 1070's 6.5 TFLOPS FP32 generates images at 512x512 resolutions adequately. H200 NVL excels for high-res or batched production with superior bandwidth.
H200 NVL's 4800 GB/s handles large simulations; interconnects scale across nodes. GTX 1070 suffices only for serial tasks.
Frequently Asked Questions
Can the GTX 1070 handle modern AI training?▾
The GTX 1070 offers 6.5 TFLOPS FP16 and 8 GB VRAM, suitable for tiny models only. Larger workloads exceed its 256 GB/s bandwidth, causing out-of-memory errors. H200 NVL provides 1979 TFLOPS and 141 GB for viable training.
What is the VRAM difference between GTX 1070 and H200 NVL?▾
GTX 1070 has 8 GB GDDR5; H200 NVL features 141 GB HBM3e. This 17.6-fold gap determines maximum model sizes. Bandwidth follows at 256 GB/s versus 4800 GB/s.
How much power does the H200 NVL consume?▾
H200 NVL draws 700W TDP, requiring data center power delivery. GTX 1070 uses 150W, fitting standard desktops. Higher TDP correlates with 1979 TFLOPS FP16 output.
What are current cloud prices for H200 NVL?▾
Pricing starts at $0.50 per hour, averaging $2.39 across four providers. GTX 1070 has no live cloud offers. Rates reflect Hopper's AI capabilities.
Is GTX 1070 good for Stable Diffusion?▾
GTX 1070 generates images effectively at 6.5 TFLOPS FP32 for personal use. It struggles with high resolutions due to 8 GB VRAM. H200 NVL enables faster, larger batches.
What interconnects does H200 NVL support?▾
H200 NVL uses NVLink, PCIe 5.0, and InfiniBand for multi-GPU scaling. GTX 1070 relies solely on PCIe. This enables H200 clusters for distributed training.
Which is cheaper to rent, the GTX 1070 or the H200?▾
Cloud rental prices for both the GTX 1070 and H200 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 GTX 1070 have compared to the H200?▾
The GTX 1070 has 8 GB of GDDR5 memory. The H200 has 141 GB of HBM3e memory.
Can I find GTX 1070 and H200 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 GTX 1070 and the H200?▾
The GTX 1070 uses the Pascal architecture (2016) while the H200 uses Hopper (2024). The H200 delivers 304.5x the FP16 throughput and 18.8x the memory bandwidth of the GTX 1070.