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
H100 SXM5's FP16 performance of 1979 TFLOPS vastly outpaces RTX 4060's 15.1 TFLOPS: this enables training large neural networks in hours rather than days on consumer hardware. FP32 at 67 TFLOPS on H100 supports scientific simulations effectively, while RTX 4060 matches its FP16 at 15.1 TFLOPS for lighter workloads only.
Memory bandwidth defines real-world limits: H100's 3350 GB/s handles massive datasets and large batch sizes in inference, preventing out-of-memory errors common with RTX 4060's 272 GB/s and 8 GB VRAM. For FP8 inference, H100's 3958 TFLOPS accelerates serving scales impossible on RTX 4060.
TDP impacts efficiency: H100's 700W suits rack-scale clusters via NVLink and PCIe 5.0, whereas RTX 4060's 115W fits desktop PCIe slots for low-power tasks.
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 H100 SXM5 for enterprise AI training and inference: its 80 to 94 GB HBM3 VRAM loads models exceeding 70B parameters, and 3350 GB/s bandwidth supports batch sizes over 1000. Cloud deployments at $0.80 per hour enable scalable clusters via NVLink.
Datacenter users benefit from 1979 TFLOPS FP16 for accelerating LLM fine-tuning by 100x over consumer GPUs.
When to Choose the RTX 4060
RTX 4060 suits budget-conscious developers and gamers: 8 GB GDDR6 VRAM handles Stable Diffusion at 512x512 resolutions, and 15.1 TFLOPS FP32 supports real-time rendering. Its 115W TDP enables easy desktop integration without specialized cooling.
Local prototyping of small models under 7B parameters avoids cloud costs, as no live rental offers exist.
Use Cases
H100 SXM5's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle models over 70B parameters with large batches. RTX 4060's 8 GB limits it to tiny datasets.
3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 support high-throughput serving. RTX 4060 cannot manage concurrent requests beyond small scales.
67 TFLOPS FP32 and vast VRAM accelerate parameter-efficient tuning on H100. RTX 4060 restricts to models under 7B parameters.
RTX 4060's 15.1 TFLOPS FP16 generates images at consumer speeds with 8 GB VRAM. H100 overkill for non-production creative tasks.
H100's 3350 GB/s bandwidth processes large simulations; 700W TDP fits clusters. RTX 4060's 272 GB/s bottlenecks complex datasets.
Frequently Asked Questions
What is the VRAM difference between H100 SXM5 and RTX 4060?▾
H100 SXM5 provides 80 to 94 GB HBM3 VRAM, enabling large model handling. RTX 4060 offers 8 GB GDDR6, suitable for smaller workloads only.
How do FP16 performances compare?▾
H100 SXM5 achieves 1979 TFLOPS in FP16 for rapid AI training. RTX 4060 reaches 15.1 TFLOPS, adequate for consumer inference.
What are the cloud pricing details?▾
H100 SXM5 starts at $0.80 per hour, averaging $3.58 per hour across 34 offers. RTX 4060 has no live cloud offers available.
Which has higher memory bandwidth?▾
H100 SXM5 delivers 3350 GB/s, supporting massive batches. RTX 4060 provides 272 GB/s for lighter data flows.
What are the TDP ratings?▾
H100 SXM5 requires 700W for datacenter power. RTX 4060 uses 115W, ideal for desktops.
Which architecture is newer?▾
RTX 4060 uses Ada Lovelace from 2023. H100 SXM5 employs Hopper from 2022, optimized for compute over graphics.
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.
