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 separates the H100 SXM5 from the RTX 2060 SUPER dramatically. The H100 SXM5 delivers 1979 TFLOPS FP16 for accelerated tensor operations in AI training, where matrix multiplications dominate, against the RTX 2060 SUPER's 6.5 TFLOPS. Its 67 TFLOPS FP32 supports precise simulations, exceeding the RTX 2060 SUPER's matching 6.5 TFLOPS.
Memory bandwidth dictates real-world throughput: 3350 GB/s on H100 SXM5 sustains large batch sizes in training without stalling, enabling models with billions of parameters, while 336 GB/s on RTX 2060 SUPER constrains it to modest datasets. For inference, H100 SXM5's 3958 TFLOPS FP8 optimizes low-precision serving at scale. Training epochs complete orders of magnitude faster on H100 SXM5 due to FP16 superiority; inference latency drops with vast VRAM accommodating full model loading.
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
The H100 SXM5 stands out for enterprise AI workloads. LLM training leverages its 1979 TFLOPS FP16 and 80-94 GB VRAM to process massive datasets efficiently. High-throughput inference benefits from 3958 TFLOPS FP8 and NVLink interconnects. Cloud deployments favor its pricing from $0.80 per hour across 33 offers for scalable HPC tasks.
When to Choose the RTX 2060 SUPER
The RTX 2060 SUPER fits cost-sensitive, low-power scenarios. Gaming and basic Stable Diffusion runs utilize its 6.5 TFLOPS FP16/FP32 and 160W TDP effectively on desktops. Small-scale fine-tuning or prototyping suits its 6-12 GB VRAM without cloud dependency, given no live rental offers.
Use Cases
H100 SXM5's 1979 TFLOPS FP16 and 80-94 GB VRAM handle billion-parameter models; RTX 2060 SUPER's 6.5 TFLOPS and 6-12 GB VRAM cannot.
3958 TFLOPS FP8 on H100 SXM5 supports high-volume serving; RTX 2060 SUPER lacks FP8 and sufficient 336 GB/s bandwidth.
3350 GB/s bandwidth on H100 SXM5 enables large-batch fine-tuning; RTX 2060 SUPER's 336 GB/s limits scale.
RTX 2060 SUPER manages basic generations with 6.5 TFLOPS FP16; H100 SXM5 accelerates complex batches via 1979 TFLOPS.
67 TFLOPS FP32 on H100 SXM5 outperforms RTX 2060 SUPER's 6.5 TFLOPS for intensive simulations.
Frequently Asked Questions
How much VRAM does H100 SXM5 have compared to RTX 2060 SUPER?▾
H100 SXM5 features 80-94 GB HBM3 VRAM. RTX 2060 SUPER provides 6-12 GB GDDR6. The difference allows H100 SXM5 to load entire large models.
What is the memory bandwidth gap?▾
H100 SXM5 offers 3350 GB/s. RTX 2060 SUPER delivers 336 GB/s. Superior bandwidth on H100 SXM5 prevents data starvation in training.
Which GPU performs better in FP16 for AI?▾
H100 SXM5 reaches 1979 TFLOPS FP16. RTX 2060 SUPER achieves 6.5 TFLOPS. This yields faster deep learning iterations on H100 SXM5.
What are the TDP ratings?▾
H100 SXM5 TDP is 700W. RTX 2060 SUPER TDP is 160W. Lower power suits RTX 2060 SUPER for edge or desktop use.
Is there cloud pricing for these GPUs?▾
H100 SXM5 starts at $0.80 per hour, averaging $3.56 per hour over 33 offers. No live offers exist for RTX 2060 SUPER.
Can RTX 2060 SUPER handle ML inference?▾
Yes, for small models with 6.5 TFLOPS FP16. H100 SXM5 excels at scale with 1979 TFLOPS and 80-94 GB VRAM.
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.