Specifications Compared
| Spec | H100 | RTX-4060 |
|---|---|---|
| TDP | 700W | 115W |
| VRAM | 80-94 GB | 8 GB |
| CUDA Cores | 16,896 | 3,072 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 96 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 15.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 242 TOPS |
| Memory Bandwidth | 3,350 GB/s | 272 GB/s |
Performance Analysis
The H100 SXM5 dominates in compute with 1979 TFLOPS FP16 and 67 TFLOPS FP32, over 130 times the 15.1 TFLOPS in both formats on the RTX 4060 Ti: this gap accelerates large-scale model training where FP16 tensor cores shine. FP8 at 3958 TFLOPS on H100 SXM5 further boosts quantized inference efficiency, absent on the consumer card. Memory bandwidth of 3350 GB/s versus 272 GB/s allows H100 SXM5 to process massive batch sizes without bottlenecks, enabling training of models exceeding 8 GB VRAM limits of RTX 4060 Ti. In real-world terms, H100 SXM5 handles multi-billion parameter LLMs fluidly, while RTX 4060 Ti suits small-batch inference or gaming at 1080p. VRAM disparity means H100 SXM5 fits full precision models in memory, reducing swap times; RTX 4060 Ti requires quantization for anything beyond toy datasets. Interconnects like NVLink and PCIe 5.0 on H100 SXM5 scale multi-GPU clusters, unlike the PCIe-only RTX 4060 Ti.
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 |
When to Choose the H100 SXM5
Choose the H100 SXM5 for large-scale AI training or inference requiring over 80 GB VRAM and 3350 GB/s bandwidth. It excels in scenarios with FP16 workloads at 1979 TFLOPS, such as training LLMs with billion-plus parameters or scientific simulations demanding 67 TFLOPS FP32. Multi-GPU setups via NVLink make it ideal for enterprise cloud deployments despite $0.80 per hour starting costs.
When to Choose the RTX 4060 Ti
The RTX 4060 Ti fits budget-conscious users for gaming, lightweight inference, or fine-tuning small models under 8 GB VRAM. Its 15.1 TFLOPS FP16 and 272 GB/s bandwidth suffice for Stable Diffusion at low resolutions or 1080p gaming, with 115W TDP enabling dense, low-cost cloud instances at $0.08 per hour. It avoids overkill for non-enterprise tasks where H100 SXM5's 700W power proves excessive.
Use Cases
H100 SXM5's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 support massive datasets and models; RTX 4060 Ti's 8 GB GDDR6 cannot handle large-scale training.
3350 GB/s bandwidth and FP8 at 3958 TFLOPS on H100 SXM5 enable high-throughput serving of large models; RTX 4060 Ti limits to small quantized models.
Small models fit RTX 4060 Ti's 8 GB VRAM at 15.1 TFLOPS FP16 for cost savings; H100 SXM5 accelerates larger ones with 80-94 GB.
RTX 4060 Ti's Ada Lovelace architecture and 272 GB/s bandwidth optimize image generation at low cost; H100 SXM5 overpowers simple diffusion tasks.
67 TFLOPS FP32 and NVLink interconnects on H100 SXM5 scale simulations; RTX 4060 Ti's 15.1 TFLOPS FP32 falls short for precision-heavy workloads.
Frequently Asked Questions
Which GPU has more VRAM: H100 SXM5 or RTX 4060 Ti?▾
The H100 SXM5 offers 80 to 94 GB HBM3 VRAM, vastly exceeding the RTX 4060 Ti's 8 GB GDDR6. This allows H100 SXM5 to load enormous models without offloading. RTX 4060 Ti suits smaller datasets only.
How do cloud prices compare for H100 SXM5 and RTX 4060 Ti?▾
H100 SXM5 pricing starts at $0.80 per hour, averaging $3.54 per hour across 35 offers. RTX 4060 Ti begins at $0.08 per hour, averaging $0.14 per hour across 6 offers. Budget tasks favor RTX 4060 Ti.
Is H100 SXM5 better for AI training than RTX 4060 Ti?▾
Yes, H100 SXM5's 1979 TFLOPS FP16 and 3350 GB/s bandwidth crush RTX 4060 Ti's 15.1 TFLOPS and 272 GB/s for training. It handles large batches efficiently. Consumer cards like RTX 4060 Ti limit scale.
What are the power differences between these GPUs?▾
H100 SXM5 has a 700W TDP for datacenter use, while RTX 4060 Ti draws 115W for efficiency. This makes RTX 4060 Ti viable for low-power edge deployments. H100 SXM5 requires robust cooling.
Which architecture is newer: Hopper or Ada Lovelace?▾
Ada Lovelace powers RTX 4060 Ti from 2023, post-Hopper's 2022 debut in H100 SXM5. Hopper optimizes datacenter AI with FP8 at 3958 TFLOPS. Ada Lovelace targets gaming versatility.
Can RTX 4060 Ti handle large model inference?▾
RTX 4060 Ti's 8 GB VRAM restricts it to small or heavily quantized models at 15.1 TFLOPS FP16. H100 SXM5's 80-94 GB and 1979 TFLOPS FP16 manage full-scale inference. Use RTX 4060 Ti for prototypes only.
Which is cheaper to rent, the H100 or the RTX 4060?▾
Cloud rental prices for both the H100 and RTX 4060 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 4060?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find H100 and RTX 4060 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 4060?▾
The H100 uses the Hopper architecture (2022) while the RTX 4060 uses Ada Lovelace (2023). The H100 delivers 131.1x the FP16 throughput and 12.3x the memory bandwidth of the RTX 4060.