H100 PCIe vs Tesla V100 16GB

HoppervsVoltaUpdated 35 days ago

The H100 PCIe emerges as the clear winner for prevalent AI workloads like LLM training and inference, thanks to 80 GB VRAM, 1979 TFLOPS FP16, and 3350 GB/s bandwidth that eclipse V100's 16 GB, 125 TFLOPS, and 900 GB/s. Modern demands favor its scalability despite higher $2.68 per hour average cost.

H100 PCIe from $1.90/hrTesla V100 16GB from $0.19/hr

Specifications Compared

SpecH100V100
TDP700W300W
VRAM80-94 GB16-32 GB
CUDA Cores16,8965,120
Memory TypeHBM3HBM2
ArchitectureHopperVolta
Form FactorsSXM5, PCIe, NVLSXM2, PCIe
InterconnectNVLink, PCIe 5.0, InfiniBandNVLink, PCIe 3.0
Tensor Cores528640
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS125 TFLOPS
FP32 Performance67 TFLOPS15.7 TFLOPS
FP64 Performance34 TFLOPS7.8 TFLOPS
INT8 Performance3,958 TOPS
Memory Bandwidth3,350 GB/s900 GB/s

Performance Analysis

FP16 performance defines training efficiency: the H100 PCIe achieves 1979 TFLOPS, over 15 times the V100's 125 TFLOPS, enabling rapid processing of large neural networks. FP32 at 67 TFLOPS on H100 PCIe surpasses V100's 15.7 TFLOPS by more than fourfold, benefiting simulations and precise computations. These metrics mean H100 PCIe completes training epochs far quicker, reducing time-to-insight for data scientists.

Memory bandwidth of 3350 GB/s on H100 PCIe versus 900 GB/s on V100 directly affects batch sizes: larger batches fit without splitting, minimizing latency in inference pipelines. The H100's 80 GB HBM3 VRAM handles datasets that overwhelm V100's 16 GB HBM2, avoiding out-of-memory errors in modern workflows. Power draw rises to 700W TDP for H100 PCIe from V100's 300W, reflecting density gains but requiring robust cooling.

Live Cloud Pricing

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

H100 PCIe

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

Tesla V100 16GB

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA Tesla V100 16GB
16GB VRAM
$0.19/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 16GB
16GB VRAM
$0.19/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 32GB
32GB VRAM
$0.29/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 32GB
32GB VRAM
$0.29/GPU/hr
Available
Lambda Labs
Lambda Labs
8×NVIDIA Tesla V100 16GB
16GB VRAM
$0.79/GPU/hr
$6.32/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the H100 PCIe

Opt for the H100 PCIe in large-scale AI training or inference where models demand over 16 GB VRAM: its 80 GB HBM3 and 3350 GB/s bandwidth manage billion-parameter LLMs without compromise. High FP16 throughput at 1979 TFLOPS accelerates iterations for enterprises prioritizing speed over initial cost, despite $1.25 per hour starting price.

When to Choose the Tesla V100 16GB

Select the V100 16GB for budget-conscious deployments with smaller models fitting 16 GB HBM2: its $0.10 per hour rate suits prototyping or legacy applications. Adequate 125 TFLOPS FP16 and 900 GB/s bandwidth suffice for fine-tuning under 1 billion parameters, where H100 overkill inflates expenses unnecessarily.

Use Cases

LLM Training
H100 PCIe

H100's 80 GB VRAM and 1979 TFLOPS FP16 support massive models; V100's 16 GB limits batch sizes and scale.

LLM Inference
H100 PCIe

3350 GB/s bandwidth on H100 enables high-throughput serving; V100's 900 GB/s bottlenecks large queries.

Fine-tuning
Either

Smaller adapters fit V100's 16 GB at $0.10 per hour; H100 excels for parameter-heavy tuning with 80 GB.

Stable Diffusion
H100 PCIe

H100's 1979 TFLOPS FP16 speeds image generation; V100's 125 TFLOPS slows high-resolution outputs.

Scientific Computing
Tesla V100 16GB

V100's 15.7 TFLOPS FP32 and low $0.82 average cost handle simulations efficiently; H100's power suits extreme scales.

Frequently Asked Questions

Is the H100 PCIe faster than V100 16GB?

Yes, H100 PCIe delivers 1979 TFLOPS FP16 versus V100's 125 TFLOPS, a 15.8 times gain. FP32 reaches 67 TFLOPS on H100 against 15.7 TFLOPS on V100. This boosts training and inference speeds significantly.

How much VRAM do H100 PCIe and V100 16GB have?

H100 PCIe provides 80 GB HBM3; V100 16GB has 16 GB HBM2. The difference allows H100 to load larger models. Bandwidth is 3350 GB/s for H100 versus 900 GB/s for V100.

What is the price difference between H100 PCIe and V100 16GB?

H100 PCIe starts at $1.25 per hour, averaging $2.68 across 16 offers. V100 16GB begins at $0.10 per hour, averaging $0.82 across 24 offers. V100 offers better value for light tasks.

Can V100 16GB run modern LLMs?

V100 16GB handles small LLMs under 7 billion parameters with 16 GB VRAM. Larger models require H100's 80 GB. Its 125 TFLOPS FP16 limits throughput compared to H100's 1979 TFLOPS.

What TDP do these GPUs use?

H100 PCIe has 700W TDP; V100 16GB uses 300W. Higher TDP on H100 supports denser compute. Both fit PCIe form factors.

Which has better memory bandwidth?

H100 PCIe achieves 3350 GB/s with HBM3; V100 16GB reaches 900 GB/s on HBM2. This enables larger batches on H100. Impact appears in data-intensive inference.

Which is cheaper to rent, the H100 or the V100?

Cloud rental prices for both the H100 and V100 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 V100?

The H100 has 80 to 94 GB of HBM3 memory. The V100 has 16 to 32 GB of HBM2 memory.

Can I find H100 and V100 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 V100?

The H100 uses the Hopper architecture (2022) while the V100 uses Volta (2017). The H100 delivers 15.8x the FP16 throughput and 3.7x the memory bandwidth of the V100.

H100 PCIe vs Tesla V100 16GB: 94GB vs 32GB | GPUPerHour