Specifications Compared
| Spec | H100 | RTX-5070 |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 80-94 GB | 12 GB |
| CUDA Cores | 16,896 | 6,144 |
| Memory Type | HBM3 | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 192 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 650 TOPS |
| Memory Bandwidth | 3,350 GB/s | 448 GB/s |
Performance Analysis
The H100 NVL vastly outperforms the RTX 5070 in AI-relevant compute: 1979 TFLOPS FP16 versus 40.6 TFLOPS enables training large language models up to 50 times faster on the H100 NVL. Its FP8 capability at 3958 TFLOPS accelerates quantized inference, reducing latency for production deployments. The FP32 performance of 67 TFLOPS on H100 NVL exceeds the RTX 5070's 40.6 TFLOPS, benefiting scientific simulations requiring precision. In real-world terms, this delta shortens training epochs from days to hours for massive datasets. Memory differences are profound: 80 to 94 GB HBM3 versus 12 GB GDDR7 limits RTX 5070 to small batch sizes, risking out-of-memory errors on models over 7 billion parameters. The H100 NVL's 3350 GB/s bandwidth supports massive batches without slowdowns, ideal for distributed training. RTX 5070's 448 GB/s suffices for inference on compact models or gaming. Power draw underscores efficiency: H100 NVL at 700W suits dense racks, while RTX 5070's 250W fits edge or desktop scenarios.
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 H100 NVL
Choose the NVIDIA H100 NVL for large-scale AI training and inference where 80 to 94 GB VRAM handles models exceeding 70 billion parameters without partitioning. Its 1979 TFLOPS FP16 and NVLink interconnect enable multi-GPU scaling for throughput demands in enterprise environments. Cloud users benefit from $1.40 per hour pricing for high-value workloads like LLM fine-tuning on vast datasets.
When to Choose the RTX 5070
The NVIDIA GeForce RTX 5070 suits budget-conscious users for prototyping, gaming, or small-scale inference at $0.08 per hour. Its 12 GB VRAM and 40.6 TFLOPS FP16 manage Stable Diffusion or fine-tuning models under 13 billion parameters efficiently. Lower 250W TDP makes it ideal for personal clouds or power-limited setups.
Use Cases
The H100 NVL's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 support training models over 70 billion parameters with large batches. The RTX 5070's 12 GB limits it to tiny models.
H100 NVL's 3958 TFLOPS FP8 and 3350 GB/s bandwidth enable high-throughput serving of large models. RTX 5070 handles only small-scale inference due to 12 GB VRAM.
H100 NVL accommodates full model fine-tuning with 80 to 94 GB VRAM, accelerating via 1979 TFLOPS FP16. RTX 5070 requires heavy quantization on 12 GB.
RTX 5070's 40.6 TFLOPS FP16 and 12 GB GDDR7 suffice for image generation at $0.08 per hour. H100 NVL overkill for consumer creative tasks.
H100 NVL's 67 TFLOPS FP32 and 700W TDP excel in simulations needing precision and scale. RTX 5070's balanced 40.6 TFLOPS suits lighter computations.
Frequently Asked Questions
What is the VRAM difference between H100 NVL and RTX 5070?▾
The H100 NVL offers 80 to 94 GB HBM3 VRAM, enabling large model handling. The RTX 5070 provides 12 GB GDDR7, suitable for smaller workloads. This gap affects batch sizes in training.
How do cloud prices compare for these GPUs?▾
H100 NVL starts at $1.40 per hour with an average of $2.89 per hour across nine offers. RTX 5070 is from $0.08 per hour averaging $0.16 per hour over two offers. Pricing reflects enterprise versus consumer focus.
Which has higher FP16 performance?▾
H100 NVL delivers 1979 TFLOPS FP16, far exceeding RTX 5070's 40.6 TFLOPS. This benefits AI training speed. FP8 on H100 NVL reaches 3958 TFLOPS for inference.
What are the memory bandwidth specs?▾
H100 NVL provides 3350 GB/s, supporting massive data throughput. RTX 5070 offers 448 GB/s for gaming and light AI. Bandwidth impacts large model efficiency.
Is RTX 5070 better for gaming in the cloud?▾
RTX 5070's Blackwell architecture and 250W TDP make it ideal for cloud gaming at low $0.08 per hour cost. H100 NVL's 700W and datacenter design do not suit gaming. Use RTX 5070 for consumer tasks.
Can RTX 5070 handle LLM fine-tuning?▾
RTX 5070 manages fine-tuning small models under 13 billion parameters with 12 GB VRAM. Larger tasks exceed its capacity, unlike H100 NVL's 80 to 94 GB. Opt for H100 NVL for scale.
Which is cheaper to rent, the H100 or the RTX 5070?▾
Cloud rental prices for both the H100 and RTX 5070 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 H100 have compared to the RTX 5070?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find H100 and RTX 5070 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 H100 and the RTX 5070?▾
The H100 uses the Hopper architecture (2022) while the RTX 5070 uses Blackwell (2025). The H100 delivers 48.7x the FP16 throughput and 7.5x the memory bandwidth of the RTX 5070.