Specifications Compared
| Spec | H100 | RTX-2060 |
|---|---|---|
| TDP | 700W | 160W |
| VRAM | 80-94 GB | 6-12 GB |
| CUDA Cores | 16,896 | 1,920 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 240 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 67 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 336 GB/s |
Performance Analysis
Compute performance gaps define real-world applications. The H100 SXM5's 1979 TFLOPS in FP16 enables rapid matrix multiplications essential for deep learning training, where the RTX 2060's 6.5 TFLOPS limits it to small models or slow iterations. For inference, the H100 SXM5's FP8 capability at 3958 TFLOPS accelerates quantized models, far beyond the RTX 2060's lack of such support.
FP32 performance further highlights disparities: 67 TFLOPS on the H100 SXM5 supports scientific simulations, compared to 6.5 TFLOPS on the RTX 2060. Memory bandwidth profoundly impacts batch sizes: 3350 GB/s on the H100 SXM5 allows processing datasets with thousands of samples per batch, reducing overhead in training loops, whereas 336 GB/s on the RTX 2060 restricts batches to dozens, increasing latency.
Power and form factors influence deployment. The H100 SXM5's 700W TDP demands data center cooling and NVLink interconnects for multi-GPU scaling, while the RTX 2060's 160W TDP fits desktop PCIe setups. Vast VRAM on the H100 SXM5 handles models exceeding 70B parameters, impossible on the RTX 2060.
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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
When to Choose the H100 SXM5
The H100 SXM5 excels in large-scale AI training and inference. Its 80 to 94 GB HBM3 VRAM accommodates massive language models, and 1979 TFLOPS FP16 throughput completes epochs in hours rather than days. Cloud users prioritize it for production workloads at $0.80 per hour starting price when scaling across NVLink clusters.
Enterprise teams choose the H100 SXM5 for scientific computing requiring 3350 GB/s bandwidth to process petabyte-scale data without bottlenecks.
When to Choose the RTX 2060
The RTX 2060 suits budget-conscious hobbyists and small-scale tasks. At $0.02 per hour, it handles prototyping with 6 to 12 GB VRAM for models under 7B parameters and 6.5 TFLOPS FP16 for quick iterations.
Gaming and light inference favor its 160W TDP and PCIe form factor, avoiding data center costs while delivering adequate 336 GB/s bandwidth for personal workflows.
Use Cases
LLM training demands extreme FP16 performance at 1979 TFLOPS and 80 to 94 GB VRAM on the H100 SXM5 to manage billion-parameter models. The RTX 2060's 6.5 TFLOPS and 6 to 12 GB VRAM result in infeasible training times.
Inference benefits from the H100 SXM5's 3958 TFLOPS FP8 and 3350 GB/s bandwidth for high-throughput quantized serving. The RTX 2060 lacks FP8 support and sufficient VRAM for large batches.
Fine-tuning large models requires the H100 SXM5's 67 TFLOPS FP32 and massive VRAM to avoid out-of-memory errors. Smaller tasks might use the RTX 2060, but scale favors H100 SXM5.
Stable Diffusion runs efficiently on the RTX 2060's 6 to 12 GB VRAM and 6.5 TFLOPS for image generation at 512x512 resolutions. H100 SXM5 overkill adds unnecessary $3.56 per hour average cost.
Scientific simulations leverage the H100 SXM5's 3350 GB/s bandwidth and NVLink for multi-GPU parallelism on large datasets. RTX 2060's 336 GB/s limits complex computations.
Frequently Asked Questions
What is the VRAM difference between H100 SXM5 and RTX 2060?▾
The H100 SXM5 provides 80 to 94 GB HBM3 VRAM, enabling large model loading. The RTX 2060 offers 6 to 12 GB GDDR6, suitable only for smaller workloads. This gap affects batch sizes and model scale.
How do compute performances compare?▾
H100 SXM5 achieves 1979 TFLOPS FP16 and 67 TFLOPS FP32, with 3958 TFLOPS FP8. RTX 2060 delivers 6.5 TFLOPS in both FP16 and FP32. H100 SXM5 suits AI acceleration; RTX 2060 fits basic tasks.
What are the cloud pricing differences?▾
H100 SXM5 starts at $0.80 per hour, averaging $3.56 per hour across 33 offers. RTX 2060 begins at $0.02 per hour, averaging $0.04 per hour across 2 offers. Budget drives RTX 2060 choice.
Which has higher power consumption?▾
H100 SXM5 TDP is 700W, requiring data center infrastructure. RTX 2060 TDP is 160W, ideal for desktops. Power needs dictate deployment environments.
Can RTX 2060 handle LLM inference?▾
RTX 2060 manages small LLMs up to 7B parameters with 6 to 12 GB VRAM at 6.5 TFLOPS. Larger models exceed its capacity, unlike H100 SXM5's 80 to 94 GB.
What interconnects do they support?▾
H100 SXM5 uses NVLink, PCIe 5.0, and InfiniBand for scaling. RTX 2060 relies on PCIe only. Multi-GPU setups favor H100 SXM5.
Which is cheaper to rent, the H100 or the RTX 2060?▾
Cloud rental prices for both the H100 and RTX 2060 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 2060?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find H100 and RTX 2060 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 2060?▾
The H100 uses the Hopper architecture (2022) while the RTX 2060 uses Turing (2019). The H100 delivers 304.5x the FP16 throughput and 10.0x the memory bandwidth of the RTX 2060.