H100 NVL vs RTX 2060

HoppervsTuringUpdated 35 days ago

NVIDIA H100 NVL emerges as the clear winner for dominant AI and machine learning use cases. Its 1979 TFLOPS FP16, 80 to 94 GB VRAM, and 3350 GB/s bandwidth enable production-scale training and inference unattainable on RTX 2060's 6.5 TFLOPS and 6 to 12 GB limits, justifying $1.40 per hour costs over $0.02 per hour for serious workloads.

H100 NVL from $1.90/hr

Specifications Compared

SpecH100RTX-2060
TDP700W160W
VRAM80-94 GB6-12 GB
CUDA Cores16,8961,920
Memory TypeHBM3GDDR6
ArchitectureHopperTuring
Form FactorsSXM5, PCIe, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBand
Tensor Cores528240
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS6.5 TFLOPS
FP32 Performance67 TFLOPS6.5 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS
Memory Bandwidth3,350 GB/s336 GB/s

Performance Analysis

Compute disparities define real-world applications: H100 NVL FP16 performance at 1979 TFLOPS accelerates AI training far beyond RTX 2060's 6.5 TFLOPS, enabling faster convergence on large datasets. FP32 at 67 TFLOPS on H100 NVL supports precision-demanding simulations, compared to 6.5 TFLOPS on RTX 2060. FP8 capability of 3958 TFLOPS on H100 NVL optimizes inference for quantized models, absent in RTX 2060 specs.

Memory systems impact scalability: 80 to 94 GB HBM3 on H100 NVL handles massive models and large batch sizes, while 6 to 12 GB GDDR6 on RTX 2060 restricts to small batches prone to out-of-memory errors. Bandwidth of 3350 GB/s on H100 NVL sustains high throughput without stalls; 336 GB/s on RTX 2060 bottlenecks data movement in memory-intensive tasks. TDP of 700 W on H100 NVL powers dense clusters, versus 160 W on RTX 2060 for efficient low-load operation.

These differences mean H100 NVL excels in production training and inference; RTX 2060 suffices for prototyping where speed trades for affordability.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

H100 NVL

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Hyperstack
Hyperstack
4×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$7.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$3.80/hr total (2×)
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$15.20/hr total (8×)
Available
Hyperstack
Hyperstack
NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.95/GPU/hr
$15.60/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the H100 NVL

Choose NVIDIA H100 NVL for large-scale AI training: its 80 to 94 GB VRAM fits billion-parameter LLMs, and 1979 TFLOPS FP16 cuts training time dramatically. Inference on high-resolution models benefits from 3350 GB/s bandwidth supporting batch sizes infeasible on lesser hardware.

Enterprise scientific computing demands H100 NVL: 67 TFLOPS FP32 handles complex simulations, with NVLink interconnect enabling multi-GPU scaling unavailable on RTX 2060.

When to Choose the RTX 2060

Opt for NVIDIA GeForce RTX 2060 in budget prototyping: $0.02 per hour pricing allows experimentation without high costs, sufficient for models under 6 to 12 GB VRAM. Light inference or fine-tuning small networks runs adequately on 6.5 TFLOPS FP16.

Gaming or entry-level creative tasks favor RTX 2060: 160 W TDP suits personal workstations, and PCIe form factor simplifies deployment over H100 NVL's SXM5 or NVL variants.

Use Cases

LLM Training
H100 NVL

H100 NVL's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 support training billion-parameter models; RTX 2060's 6-12 GB GDDR6 cannot accommodate large datasets or models.

LLM Inference
H100 NVL

3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 NVL enable high-throughput serving of large LLMs; RTX 2060's 6.5 TFLOPS limits to small models with low concurrency.

Fine-tuning
H100 NVL

H100 NVL 67 TFLOPS FP32 and vast VRAM handle parameter-efficient fine-tuning on full models; RTX 2060 restricts to distilled versions due to memory constraints.

Stable Diffusion
Either

RTX 2060's 6-12 GB VRAM runs standard Stable Diffusion at 6.5 TFLOPS FP16 for hobby use; H100 NVL scales to high-resolution batches with 1979 TFLOPS but at higher $1.40 per hour cost.

Scientific Computing
H100 NVL

H100 NVL's 67 TFLOPS FP32 and NVLink interconnect accelerate simulations across multi-GPU setups; RTX 2060's matching 6.5 TFLOPS FP32 lacks scalability for complex workloads.

Frequently Asked Questions

Which GPU has more VRAM, H100 NVL or RTX 2060?

NVIDIA H100 NVL provides 80 to 94 GB HBM3 VRAM. NVIDIA GeForce RTX 2060 offers 6 to 12 GB GDDR6. This enables H100 NVL to load models over ten times larger.

How do H100 NVL and RTX 2060 compare in FP16 performance?

H100 NVL achieves 1979 TFLOPS FP16. RTX 2060 delivers 6.5 TFLOPS FP16. The gap exceeds 300 times, favoring H100 NVL for AI training acceleration.

What are the cloud rental prices for H100 NVL versus RTX 2060?

H100 NVL starts at $1.40 per hour, averaging $2.89 per hour across nine offers. RTX 2060 begins at $0.02 per hour, averaging $0.04 per hour over two offers. Budget tasks suit RTX 2060.

Is RTX 2060 sufficient for machine learning inference?

RTX 2060 handles small model inference with 6.5 TFLOPS FP16 and 6 to 12 GB VRAM. Larger LLMs exceed its 336 GB/s bandwidth limits. H100 NVL excels for production scale.

What is the power consumption difference between H100 NVL and RTX 2060?

H100 NVL has a 700 W TDP for high-density compute. RTX 2060 uses 160 W TDP for efficient consumer setups. This affects cooling and cluster design choices.

Can RTX 2060 replace H100 NVL in AI training?

No, RTX 2060's 6.5 TFLOPS FP16 and 6 to 12 GB VRAM limit training to tiny models. H100 NVL's 1979 TFLOPS and 80 to 94 GB VRAM are essential for large-scale efforts.

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.

H100 NVL vs RTX 2060: 304.5x FP16 Gap, 94GB vs 12GB | GPUPerHour