Specifications Compared
| Spec | H100 | RTX-5060 |
|---|---|---|
| TDP | 700W | 180W |
| VRAM | 80-94 GB | 12 GB |
| CUDA Cores | 16,896 | 4,608 |
| Memory Type | HBM3 | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 144 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 23.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 370 TOPS |
| Memory Bandwidth | 3,350 GB/s | 448 GB/s |
Performance Analysis
Compute throughput defines the core disparity: H100 NVL delivers 1979 TFLOPS in FP16 and 67 TFLOPS in FP32, enabling rapid training of large language models where RTX 5060 Ti's 23.1 TFLOPS in both formats falls short by over 85 times in FP16. This gap translates to training epochs completing in minutes on H100 NVL versus hours on RTX 5060 Ti for models exceeding 12 GB VRAM.
Memory systems amplify advantages for H100 NVL: 3350 GB/s bandwidth and 80 to 94 GB HBM3 capacity support batch sizes in the thousands, minimizing overhead in distributed training, whereas RTX 5060 Ti's 448 GB/s and 12 GB GDDR7 restrict batches to dozens, slowing inference on high-resolution inputs. FP8 performance at 3958 TFLOPS on H100 NVL accelerates quantized inference, a feature less impactful on the consumer card.
Power draw reflects deployment scale: H100 NVL's 700W TDP suits rack-scale clusters with NVLink interconnects, while RTX 5060 Ti's 180W fits edge or desktop use via PCIe.
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 |
RTX 5060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 2×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 63GB RAM 1345GB Storage | Maryland | $0.27/GPU/hr $0.53/hr total (2×) | Available | ||
Vast.ai | NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 31GB RAM 1526GB Storage | Maryland | $0.27/GPU/hr | Available |
When to Choose the H100 NVL
Select the H100 NVL for enterprise-scale AI training and inference: its 80 to 94 GB HBM3 VRAM accommodates models with hundreds of billions of parameters, and 1979 TFLOPS FP16 throughput processes datasets at 3350 GB/s bandwidth without memory bottlenecks. Cloud pricing from $1.40 per hour justifies use in production pipelines demanding NVLink interconnects for multi-GPU scaling.
When to Choose the RTX 5060 Ti
Opt for the RTX 5060 Ti in budget-conscious prototyping or gaming: at $0.07 per hour average $0.15, it handles small-scale fine-tuning with 23.1 TFLOPS FP16 and 12 GB GDDR7, sufficient for models under 10 GB. Its 180W TDP and PCIe form factor enable easy integration in personal workflows or low-density cloud instances.
Use Cases
H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM enable efficient training of massive models with large batch sizes via 3350 GB/s bandwidth.
H100 NVL supports high-concurrency inference with 3958 TFLOPS FP8 and vast VRAM, handling thousands of requests; RTX 5060 Ti limits scale at 12 GB.
H100 NVL's 67 TFLOPS FP32 and high bandwidth accelerate parameter-efficient fine-tuning on large datasets, unavailable on RTX 5060 Ti's 23.1 TFLOPS.
RTX 5060 Ti's 23.1 TFLOPS FP16 suffices for real-time image generation at 12 GB VRAM; H100 NVL overkill for single-user creative tasks.
H100 NVL's 67 TFLOPS FP32 and NVLink interconnects excel in simulations requiring high precision and multi-GPU coordination.
Frequently Asked Questions
What is the VRAM capacity of H100 NVL versus RTX 5060 Ti?▾
H100 NVL offers 80 to 94 GB HBM3 VRAM, ideal for large models. RTX 5060 Ti provides 12 GB GDDR7, suitable for smaller workloads.
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 5060 Ti begins at $0.07 per hour averaging $0.15 per hour across ten offers.
What are the FP16 performance differences?▾
H100 NVL achieves 1979 TFLOPS in FP16. RTX 5060 Ti reaches 23.1 TFLOPS, a gap of over 85 times.
Which GPU has higher memory bandwidth?▾
H100 NVL provides 3350 GB/s bandwidth. RTX 5060 Ti offers 448 GB/s, limiting large batch processing.
What are the TDP ratings?▾
H100 NVL consumes 700W TDP for datacenter use. RTX 5060 Ti uses 180W, fitting consumer setups.
Can RTX 5060 Ti replace H100 NVL for AI training?▾
No, RTX 5060 Ti's 12 GB VRAM and 23.1 TFLOPS FP16 cannot match H100 NVL's capacity for models over 20 GB or high-throughput training.
Which is cheaper to rent, the H100 or the RTX 5060?▾
Cloud rental prices for both the H100 and RTX 5060 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 5060?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find H100 and RTX 5060 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 5060?▾
The H100 uses the Hopper architecture (2022) while the RTX 5060 uses Blackwell (2025). The H100 delivers 85.7x the FP16 throughput and 7.5x the memory bandwidth of the RTX 5060.