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
The H100 SXM5's FP16 performance of 1979 TFLOPS vastly exceeds the RTX 5060 Ti's 23.1 TFLOPS, accelerating deep learning training where half-precision computations dominate. Its FP32 rate of 67 TFLOPS remains superior to the RTX 5060 Ti's 23.1 TFLOPS, but the pronounced FP16 delta underscores specialization for AI model optimization over general graphics tasks.
Memory bandwidth presents a clear divide: the H100 SXM5's 3350 GB/s supports massive batch sizes in training, minimizing data loading bottlenecks and enabling models with billions of parameters. The RTX 5060 Ti's 448 GB/s constrains it to smaller batches, suitable for inference on compact models but prone to out-of-memory errors with larger datasets.
Power efficiency follows suit, with the H100 SXM5's 700W TDP delivering over 85 times the FP16 throughput per watt compared to the RTX 5060 Ti's 180W, though the latter prioritizes low-latency consumer applications.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| 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 | NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 31GB RAM 673GB Storage | Maryland | $0.27/GPU/hr | 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 SXM5
Select the H100 SXM5 for large-scale LLM training or scientific simulations requiring 80 to 94 GB VRAM and 3350 GB/s bandwidth. Its 1979 TFLOPS FP16 performance handles multi-trillion parameter models, with NVLink enabling cluster-scale deployments at $1.47 to $3.66 per hour.
Enterprise users benefit from its PCIe 5.0 and InfiniBand support for high-throughput inference pipelines.
When to Choose the RTX 5060 Ti
Choose the RTX 5060 Ti for cost-effective prototyping, Stable Diffusion, or small-model inference at $0.07 to $0.15 per hour. Its 12 GB GDDR7 and 23.1 TFLOPS suffice for batch sizes under 448 GB/s limits, ideal for individual developers.
Gaming or edge deployments favor its 180W PCIe efficiency over datacenter complexity.
Use Cases
The H100 SXM5's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 enable training of trillion-parameter models with large batch sizes via 3350 GB/s bandwidth. The RTX 5060 Ti's 12 GB limits it to toy models.
H100 SXM5 supports high-concurrency inference for large LLMs with 1979 TFLOPS FP16 and NVLink scaling. RTX 5060 Ti handles small models at low cost but struggles with VRAM demands.
Fine-tuning benefits from H100 SXM5's 67 TFLOPS FP32 and vast memory for parameter-efficient methods on full datasets. RTX 5060 Ti suits micro-tuning only.
RTX 5060 Ti's 23.1 TFLOPS and 448 GB/s bandwidth generate images efficiently at $0.07 per hour for consumer workflows. H100 SXM5 overkill for single-user diffusion.
H100 SXM5's 3350 GB/s bandwidth and 700W TDP excel in simulations needing high FP32 throughput and multi-GPU links. RTX 5060 Ti adequate for lightweight HPC only.
Frequently Asked Questions
What is the VRAM difference between H100 SXM5 and RTX 5060 Ti?▾
The H100 SXM5 offers 80 to 94 GB HBM3 VRAM, enabling large model handling. The RTX 5060 Ti provides 12 GB GDDR7, sufficient for smaller AI tasks or gaming. This gap affects batch sizes in training.
How do their prices compare on cloud platforms?▾
H100 SXM5 starts at $1.47 per hour with $3.66 average across 33 offers. RTX 5060 Ti begins at $0.07 per hour averaging $0.15 across 10 offers. Budget users favor the latter for light workloads.
Which has better FP16 performance for AI?▾
H100 SXM5 delivers 1979 TFLOPS FP16, ideal for training and inference. RTX 5060 Ti reaches 23.1 TFLOPS, about 85 times lower. Choose H100 for compute-intensive AI.
Can RTX 5060 Ti replace H100 for inference?▾
RTX 5060 Ti works for small LLMs with 12 GB VRAM but falters on large models due to 448 GB/s bandwidth. H100 SXM5's 3350 GB/s and 80 to 94 GB support high-throughput serving.
What are their power consumptions?▾
H100 SXM5 has 700W TDP for datacenter density. RTX 5060 Ti uses 180W, better for edge or single-node setups. Efficiency per TFLOPS favors H100 in AI.
Which architecture is newer?▾
RTX 5060 Ti uses Blackwell from 2025, succeeding Hopper in H100 SXM5 from 2022. Blackwell aids gaming ray tracing, while Hopper optimizes AI tensor cores.
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.