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 PCIe dominates in raw compute: its 1979 TFLOPS FP16 vastly outpaces the RTX 5060 Ti's 23.1 TFLOPS, enabling faster model training where half-precision arithmetic prevails. FP32 performance shows 67 TFLOPS versus 23.1 TFLOPS, benefiting scientific simulations and rendering. FP8 at 3958 TFLOPS on H100 PCIe accelerates inference for quantized large language models.
Memory specs define workload feasibility: 80 to 94 GB HBM3 versus 12 GB GDDR7 limits RTX 5060 Ti to smaller batch sizes, risking out-of-memory errors in training datasets over 10 GB. H100's 3350 GB/s bandwidth sustains large batches without bottlenecks, ideal for transformer models exceeding 70B parameters.
Power efficiency tilts toward RTX 5060 Ti: 180W TDP versus 700W reduces operational costs in clouds, suiting inference at low throughput. Yet H100 PCIe throughput per watt remains superior for FP16-heavy tasks due to architectural optimizations.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 PCIe
| 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 | 4×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 126GB RAM 2690GB Storage | Maryland | $0.27/GPU/hr $1.07/hr total (4×) | Available |
When to Choose the H100 PCIe
The H100 PCIe suits enterprise AI training and inference: its 80 to 94 GB VRAM handles models like GPT-4 scale without sharding, while 3350 GB/s bandwidth supports batch sizes over 128. Datacenter users prioritize 1979 TFLOPS FP16 for accelerating weeks-long training jobs.
High-frequency trading or real-time analytics demand H100 PCIe: NVLink and PCIe 5.0 interconnects enable multi-GPU scaling unavailable on RTX 5060 Ti.
When to Choose the RTX 5060 Ti
The RTX 5060 Ti fits prototyping and edge inference: 12 GB VRAM manages fine-tuning of 7B parameter models, with 23.1 TFLOPS FP16 sufficient for single-user workflows. At $0.07 per hour, it minimizes costs for developers testing ideas.
Gaming and content creation favor RTX 5060 Ti: 180W TDP and Blackwell architecture deliver efficient ray tracing, outperforming H100 PCIe in consumer PCIe setups.
Use Cases
H100 PCIe 80 to 94 GB VRAM and 1979 TFLOPS FP16 support massive datasets and large batches. RTX 5060 Ti 12 GB limits scale.
3958 TFLOPS FP8 and 3350 GB/s bandwidth handle high-throughput quantized serving. RTX 5060 Ti suits low-volume only.
67 TFLOPS FP32 and high VRAM fit parameter-efficient methods on 70B models. RTX 5060 Ti works for smaller 7B tunes.
RTX 5060 Ti 23.1 TFLOPS FP16 generates images efficiently at 12 GB VRAM. H100 PCIe overkill for single inferences.
H100 PCIe 67 TFLOPS FP32 accelerates simulations like molecular dynamics. RTX 5060 Ti bandwidth constrains complex grids.
Frequently Asked Questions
What is the VRAM difference between H100 PCIe and RTX 5060 Ti?▾
H100 PCIe provides 80 to 94 GB HBM3 VRAM. RTX 5060 Ti offers 12 GB GDDR7. This gap determines maximum model sizes.
Which GPU has higher FP16 performance?▾
H100 PCIe achieves 1979 TFLOPS FP16. RTX 5060 Ti reaches 23.1 TFLOPS. H100 excels in AI training.
How do cloud prices compare?▾
H100 PCIe starts at $1.25 per hour, averaging $2.61 across 20 offers. RTX 5060 Ti starts at $0.07 per hour, averaging $0.15 across 10 offers.
What is the memory bandwidth gap?▾
H100 PCIe delivers 3350 GB/s. RTX 5060 Ti provides 448 GB/s. Higher bandwidth aids large batch processing.
Which has lower power consumption?▾
RTX 5060 Ti uses 180W TDP. H100 PCIe requires 700W. Lower TDP reduces cloud energy costs.
Can RTX 5060 Ti replace H100 PCIe for training?▾
No, 12 GB VRAM limits it to small models under 7B parameters. H100 PCIe handles enterprise scale with 80 to 94 GB.
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.