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
H100's FP16 performance of 1979 TFLOPS dwarfs RTX 2060's 6.5 TFLOPS: this enables training deep neural networks 300 times faster, as half-precision dominates AI pipelines. H100's FP32 at 67 TFLOPS still surpasses RTX 2060's 6.5 TFLOPS, but the FP16-to-FP32 ratio highlights H100's optimization for tensor cores in machine learning, versus RTX 2060's balanced Turing design for graphics.
Memory bandwidth defines scalability: H100's 3350 GB/s supports batch sizes 10 times larger than RTX 2060's 336 GB/s limit, cutting training epochs from days to hours for large models. In inference, H100's FP8 at 3958 TFLOPS processes billions more operations per second, ideal for real-time serving.
Power draw underscores trade-offs: H100's 700W TDP demands robust cooling, while RTX 2060's 160W suits edge deployments, though performance ceilings restrict it to modest tasks.
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 | |
|---|---|---|---|---|---|---|---|---|
QuantaCloud Partner | H100 PCIe 32โ1024+ GPUs ยท InfiniBand | โ | Custom configs | Multiple DCs | Reserved / cluster Get a quote in 24h | Available | ||
Nebius | NVIDIA H100 SXM5 80GB VRAM | 80GB | 16 vCPU 200GB RAM | ๐Europe | $2.15/GPU/hr | |||
![]() Vast.ai | NVIDIA H100 SXM5 80GB VRAM | 80GB | 128 vCPU 126GB RAM 1457GB Storage | Netherlands | $2.20/GPU/hr | Available | ||
![]() Denvr | 8รNVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 1024GB RAM 22800GB Storage | Virginia | $2.30/GPU/hr $18.40/hr total (8ร) | |||
![]() CoreWeave | 8รNVIDIA H100 SXM5 80GB VRAM | 80GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.44/GPU/hr $19.51/hr total (8ร) | |||
Cirrascale | 8รNVIDIA H100 SXM5 80GB VRAM | 80GB | 192 vCPU 2048GB RAM 39738GB Storage | United States | $2.49/GPU/hr $19.92/hr total (8ร) |
QuantaCloud
Comparing H-series providers? We broker across all of them.
Most Hopper capacity is sold out through Q3 2026. If you need 16+ GPUs reserved or a cluster in the next 90 days, we quote remaining H-series or B300 inventory at partner rates โ one quote, 24h turnaround.
When to Choose the H100 PCIe
Enterprise AI teams select the H100 PCIe for LLM training and inference: its 80-94 GB VRAM accommodates models like GPT variants that crash on RTX 2060's 6-12 GB. The 3350 GB/s bandwidth ensures massive datasets flow without bottlenecks, achieving FP16 speeds of 1979 TFLOPS.
Datacenter-scale scientific computing favors H100: NVLink and PCIe 5.0 interconnects enable multi-GPU clusters, unavailable on RTX 2060.
When to Choose the RTX 2060
Budget-conscious developers choose RTX 2060 for prototyping: at $0.02 per hour, it handles small-scale fine-tuning or Stable Diffusion with 6.5 TFLOPS FP16, avoiding H100's $1.25 per hour entry cost. Its 160W TDP fits low-power cloud instances.
Gaming or legacy graphics workloads suit RTX 2060: 6-12 GB GDDR6 suffices for real-time rendering, where H100's datacenter focus adds no value.
Use Cases
H100's 1979 TFLOPS FP16 and 80-94 GB VRAM handle massive parameter counts and large batches. RTX 2060's 6.5 TFLOPS and 6-12 GB VRAM cannot scale to full training runs.
H100's FP8 at 3958 TFLOPS and 3350 GB/s bandwidth enable high-throughput serving. RTX 2060 lacks FP8 and sufficient VRAM for production loads.
H100 supports parameter-efficient fine-tuning on 80-94 GB VRAM with 67 TFLOPS FP32. RTX 2060's 6-12 GB limits model sizes.
H100 generates images faster via 1979 TFLOPS FP16 for high-resolution tasks. RTX 2060 works for basic use but slows on larger batches due to 336 GB/s bandwidth.
H100's 67 TFLOPS FP32 and NVLink excel in simulations. RTX 2060's equal 6.5 TFLOPS FP16/FP32 suits only small datasets.
Frequently Asked Questions
Which GPU has more VRAM, H100 PCIe or RTX 2060?โพ
H100 PCIe provides 80-94 GB HBM3 VRAM. RTX 2060 offers 6-12 GB GDDR6. This 10x difference allows H100 to load vast models.
What is the FP16 performance difference?โพ
H100 achieves 1979 TFLOPS in FP16. RTX 2060 reaches 6.5 TFLOPS. H100 accelerates AI training by orders of magnitude.
How do cloud prices compare?โพ
H100 PCIe starts at $1.25 per hour, averaging $2.70 across 18 offers. RTX 2060 begins at $0.02 per hour, averaging $0.04 across 2 offers.
What are the TDPs?โพ
H100 PCIe consumes 700W. RTX 2060 uses 160W. Lower TDP makes RTX 2060 viable for power-sensitive setups.
Which has higher memory bandwidth?โพ
H100 delivers 3350 GB/s. RTX 2060 provides 336 GB/s. H100 supports 10x larger batch sizes in training.
What architectures do they use?โพ
H100 uses Hopper from 2022 with FP8 support at 3958 TFLOPS. RTX 2060 employs Turing from 2019.
Which is cheaper to rent, the H100 or the RTX 2060?โพ
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?โพ
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?โพ
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?โพ
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.


