Specifications Compared
| Spec | GTX-1070 | H100 |
|---|---|---|
| TDP | 150W | 700W |
| VRAM | 8 GB | 80-94 GB |
| CUDA Cores | 1,920 | 16,896 |
| Memory Type | GDDR5 | HBM3 |
| Architecture | Pascal | Hopper |
| Form Factors | PCIe | SXM5, PCIe, 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 | 3,350 GB/s |
Performance Analysis
The H100 NVL vastly outpaces the GTX 1070 in compute performance, with 1979 TFLOPS FP16 compared to 6.5 TFLOPS, enabling it to handle large-scale AI training workloads that the GTX 1070 cannot manage efficiently. FP32 performance shows 67 TFLOPS for H100 NVL against 6.5 TFLOPS for GTX 1070, benefiting general compute tasks. The FP16 to FP32 ratio on H100 NVL favors mixed-precision training common in deep learning, accelerating convergence by leveraging 3958 TFLOPS FP8 for inference. Memory bandwidth of 3350 GB/s on H100 NVL supports massive batch sizes in model training, reducing iteration times dramatically over the GTX 1070's 256 GB/s limit. This disparity means GTX 1070 suits small prototypes, while H100 NVL processes datasets fitting 80 to 94 GB VRAM without swapping. Higher 700W TDP on H100 NVL reflects its datacenter optimization, contrasting GTX 1070's 150W consumer efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
When to Choose the GTX 1070
The NVIDIA GeForce GTX 1070 fits budget-conscious gamers or hobbyists running 1080p gaming at 6.5 TFLOPS FP32 with 8 GB GDDR5 VRAM. It excels in local desktops with 150W TDP and PCIe form factor, avoiding cloud costs where no live offers exist. Users prototyping small ML models or legacy software benefit from its low upfront cost and power efficiency.
When to Choose the H100 NVL
The NVIDIA H100 NVL dominates AI and HPC workloads requiring 1979 TFLOPS FP16, 80 to 94 GB HBM3 VRAM, and 3350 GB/s bandwidth. Cloud deployments at $1.40 per hour average leverage NVLink and InfiniBand for multi-GPU scaling. Enterprises training LLMs or running large inference choose it for 3958 TFLOPS FP8 speed.
Use Cases
H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB VRAM handle massive models, while GTX 1070's 6.5 TFLOPS and 8 GB limit it to trivial scales.
3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 NVL enable high-throughput serving; GTX 1070 cannot compete at 6.5 TFLOPS FP16.
H100 NVL supports large batch sizes with 3350 GB/s bandwidth and 67 TFLOPS FP32; GTX 1070's 256 GB/s restricts efficiency.
H100 NVL generates images rapidly via 1979 TFLOPS FP16; GTX 1070 manages basic runs but slows on high-res with 8 GB VRAM.
67 TFLOPS FP32 and NVLink on H100 NVL accelerate simulations; GTX 1070's 6.5 TFLOPS suits only small-scale computations.
Frequently Asked Questions
Can GTX 1070 handle AI training?▾
GTX 1070 offers 6.5 TFLOPS FP16 and 8 GB GDDR5, sufficient for tiny models but inadequate for modern LLMs. H100 NVL's 1979 TFLOPS FP16 excels here. Users need upgrades for serious work.
What is H100 NVL pricing?▾
NVIDIA H100 NVL clouds start at $1.40 per hour, averaging $2.89 across 9 offers. GTX 1070 has no live cloud pricing. This makes H100 viable for bursty workloads.
How much VRAM does H100 have?▾
H100 NVL provides 80 to 94 GB HBM3 versus GTX 1070's 8 GB GDDR5. This enables larger batches on H100. Bandwidth reaches 3350 GB/s on H100.
Is GTX 1070 still good for gaming?▾
GTX 1070 delivers 6.5 TFLOPS FP32 for 1080p gaming at 150W TDP. It lags modern titles without ray tracing. H100 NVL prioritizes compute over gaming.
What interconnects does H100 NVL support?▾
H100 NVL uses NVLink, PCIe 5.0, and InfiniBand for scaling. GTX 1070 lacks interconnects beyond PCIe. This boosts multi-GPU performance on H100.
Compare power consumption▾
GTX 1070 draws 150W TDP, ideal for desktops. H100 NVL requires 700W for datacenters. Efficiency favors GTX for light use.
Which is cheaper to rent, the GTX 1070 or the H100?▾
Cloud rental prices for both the GTX 1070 and H100 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 H100?▾
The GTX 1070 has 8 GB of GDDR5 memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find GTX 1070 and H100 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 H100?▾
The GTX 1070 uses the Pascal architecture (2016) while the H100 uses Hopper (2022). The H100 delivers 304.5x the FP16 throughput and 13.1x the memory bandwidth of the GTX 1070.