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
Raw compute power separates these GPUs dramatically: the H200 SXM achieves 1979 TFLOPS in FP16 compared to the GTX 1070 Ti's 8.9 TFLOPS, accelerating deep learning training where half-precision dominates. FP32 performance reaches 67 TFLOPS on H200 SXM versus 8.9 TFLOPS, aiding traditional simulations. The FP16 to FP32 ratio on H200 SXM, nearly 30:1, optimizes mixed-precision training, while GTX 1070 Ti offers 1:1 parity suited to older FP32-heavy tasks. Memory specs transform workloads: 4800 GB/s bandwidth on H200 SXM versus 256 GB/s enables 18.75 times larger data throughput, supporting bigger batch sizes in neural networks and reducing iterations. H200 SXM's 141 GB VRAM handles models over 100 GB, impossible on 8 GB GTX 1070 Ti, preventing out-of-memory errors in inference or fine-tuning large language models.
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 | |
|---|---|---|---|---|---|---|---|---|
 QuantaCloud Partner | H200 SXM 32–1024+ GPUs · InfiniBand | ∞ | Custom configs | Multiple DCs | Reserved / cluster Get a quote in 24h | 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×) | |||
QuantaCloud | NVIDIA H200 NVL 141GB VRAM | 141GB | 16 vCPU 180GB RAM 750GB Storage | Virginia | $3.43/GPU/hr | Available | ||
QuantaCloud | 2×NVIDIA H200 NVL 141GB VRAM | 141GB | 30 vCPU 360GB RAM 1500GB Storage | Virginia | $3.43/GPU/hr $6.86/hr total (2×) | Available | ||
 DigitalOcean | NVIDIA H200 NVL 141GB VRAM | 141GB | 24 vCPU 240GB RAM 720GB Storage | New York | $3.44/GPU/hr | Available |
QuantaCloud
Comparing H-series providers? We broker across all of them.
Most Hopper capacity is sold out through Q3 2026. If you need 16+ GPUs reserved or a cluster in the next 90 days, we quote remaining H-series or B300 inventory at partner rates — one quote, 24h turnaround.
When to Choose the GTX 1070 Ti
The GTX 1070 Ti excels in budget local setups for 1080p gaming or basic compute under 8 GB VRAM. Its 180 W TDP and PCIe compatibility suit low-power desktops without cloud dependency, ideal where no live offers exist and tasks like legacy machine learning fit 256 GB/s bandwidth.
When to Choose the H200 SXM
Select the H200 SXM for demanding AI and HPC: 1979 TFLOPS FP16 powers LLM training, while 141 GB VRAM manages massive models. Cloud access at $1.19 per hour scales multi-GPU clusters via NVLink, outperforming GTX 1070 Ti in bandwidth-intensive inference.
Use Cases
H200 SXM's 1979 TFLOPS FP16 and 141 GB VRAM handle large-scale LLM training with huge batches; GTX 1070 Ti's 8.9 TFLOPS and 8 GB VRAM fail for models over 7 billion parameters.
H200 SXM supports high-throughput inference via 3958 TFLOPS FP8 and 4800 GB/s bandwidth; GTX 1070 Ti limits to small models due to 8 GB VRAM.
141 GB VRAM on H200 SXM fits full fine-tuning of large models; 8 GB on GTX 1070 Ti restricts to tiny datasets or LoRA only.
GTX 1070 Ti runs basic Stable Diffusion at 8 GB VRAM for local hobbyists; H200 SXM accelerates high-res generations with 4800 GB/s bandwidth.
H200 SXM's 67 TFLOPS FP32 and NVLink scale simulations; GTX 1070 Ti's 8.9 TFLOPS suits single-node legacy codes.
Frequently Asked Questions
What is the FP16 performance difference between GTX 1070 Ti and H200 SXM?▾
The H200 SXM delivers 1979 TFLOPS FP16, while GTX 1070 Ti provides 8.9 TFLOPS. This 222-fold gap accelerates AI training significantly on H200 SXM.
How much VRAM do GTX 1070 Ti and H200 SXM have?▾
GTX 1070 Ti has 8 GB GDDR5; H200 SXM offers 141 GB HBM3e. The difference allows H200 SXM to load models 17 times larger.
What are the cloud prices for H200 SXM?▾
NVIDIA H200 SXM starts at $1.19 per hour, averaging $3.71 per hour across 22 offers. GTX 1070 Ti has no live cloud offers.
Is GTX 1070 Ti suitable for modern AI training?▾
GTX 1070 Ti's 8 GB VRAM and 8.9 TFLOPS FP16 limit it to small models. H200 SXM's 141 GB and 1979 TFLOPS FP16 are required for current LLMs.
What is the memory bandwidth comparison?▾
H200 SXM provides 4800 GB/s; GTX 1070 Ti offers 256 GB/s. This 18.75 times advantage boosts batch sizes on H200 SXM.
Which has higher TDP, GTX 1070 Ti or H200 SXM?▾
H200 SXM consumes 700 W; GTX 1070 Ti uses 180 W. Higher TDP on H200 SXM correlates with its superior 1979 TFLOPS FP16.
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.