H100 vs TITAN Xp

HoppervsPascalUpdated 36 days ago

H100 emerges as the clear winner for prevalent AI and compute workloads due to 163 times higher FP16 performance at 1979 TFLOPS and sixfold memory bandwidth at 3350 GB/s over TITAN Xp's 12.1 TFLOPS and 548 GB/s. Modern applications demand such capacity, rendering TITAN Xp obsolete except in niche legacy scenarios.

H100 from $1.90/hr

Specifications Compared

SpecH100TITAN-XP
TDP700W250W
VRAM80-94 GB12 GB
CUDA Cores16,8963,840
Memory TypeHBM3GDDR5X
ArchitectureHopperPascal
Form FactorsSXM5, PCIe, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBand
Tensor Cores528
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS12.1 TFLOPS
FP32 Performance67 TFLOPS12.1 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS
Memory Bandwidth3,350 GB/s548 GB/s

Performance Analysis

H100's FP16 performance of 1979 TFLOPS dwarfs TITAN Xp's 12.1 TFLOPS by over 163 times, enabling dramatically faster model training and inference in half-precision formats common to deep learning. The FP32 delta, 67 TFLOPS against 12.1 TFLOPS or about 5.5 times higher, benefits single-precision scientific computing and graphics rendering. FP8 capability at 3958 TFLOPS on H100 further accelerates quantized inference absent in TITAN Xp.

Memory bandwidth defines practical limits: H100's 3350 GB/s versus 548 GB/s, a sixfold advantage, supports vastly larger batch sizes and model sizes without swapping to host RAM. For instance, H100 handles LLMs with billions of parameters fitting in 80-94 GB VRAM, while TITAN Xp's 12 GB restricts it to small networks or low-resolution tasks. Power draw underscores efficiency gaps, H100 at 700W versus 250W, but yields far superior throughput per watt in AI domains.

These metrics translate to real-world speedups: training epochs complete in minutes on H100 fleets rather than hours on TITAN Xp, transforming workflows in research and production.

Live Cloud Pricing

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

H100

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

Users pursuing large-scale AI development select H100 for its 80-94 GB HBM3 VRAM, which accommodates massive models like those exceeding 70B parameters. The 1979 TFLOPS FP16 and 3350 GB/s bandwidth excel in distributed training via NVLink or InfiniBand, ideal for enterprises deploying on cloud instances from $0.80 per hour.

When to Choose the TITAN Xp

TITAN Xp fits budget-conscious hobbyists or legacy setups requiring PCIe form factor and 250W TDP for desktop integration. Its 12.1 TFLOPS FP32 suits small-scale visualization or gaming where 12 GB GDDR5X suffices, avoiding H100's high power and cloud-only availability.

Use Cases

LLM Training
H100

H100's 1979 TFLOPS FP16 and 80-94 GB VRAM enable training of billion-parameter models at scale, impossible on TITAN Xp's 12.1 TFLOPS and 12 GB.

LLM Inference
H100

3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 support high-throughput serving of large models, far beyond TITAN Xp's limits.

Fine-tuning
H100

H100 handles full fine-tuning of large models with 67 TFLOPS FP32 and ample VRAM, while TITAN Xp restricts to tiny datasets.

Stable Diffusion
H100

H100 generates high-resolution images rapidly via superior FP16 compute and bandwidth, outperforming TITAN Xp on complex prompts.

Scientific Computing
H100

H100's 67 TFLOPS FP32 and NVLink interconnect accelerate simulations, eclipsing TITAN Xp's 12.1 TFLOPS for large datasets.

Frequently Asked Questions

What is the VRAM difference between H100 and TITAN Xp?

H100 provides 80-94 GB HBM3 VRAM, while TITAN Xp offers 12 GB GDDR5X. This allows H100 to load models up to eight times larger without issues.

How much faster is H100 in FP16 than TITAN Xp?

H100 achieves 1979 TFLOPS FP16 versus TITAN Xp's 12.1 TFLOPS, a 163-fold improvement. Training times shrink proportionally for AI tasks.

What are the power requirements?

H100 has a 700W TDP suited for datacenters, compared to TITAN Xp's 250W for desktops. H100 delivers higher performance per watt in compute.

Is TITAN Xp available on cloud?

TITAN Xp has no live cloud offers, unlike H100 from $0.80 per hour across 56 providers. Local PCIe use is its domain.

Can TITAN Xp handle modern AI?

TITAN Xp's 12 GB VRAM and 548 GB/s bandwidth limit it to small models, unlike H100's capacity for LLMs. It suits legacy or basic tasks.

What interconnects does H100 support?

H100 features NVLink, PCIe 5.0, and InfiniBand for multi-GPU scaling, absent in TITAN Xp. This boosts distributed workloads.

Which is cheaper to rent, the H100 or the TITAN Xp?

Cloud rental prices for both the H100 and TITAN Xp 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 TITAN Xp?

The H100 has 80 to 94 GB of HBM3 memory. The TITAN Xp has 12 GB of GDDR5X memory.

Can I find H100 and TITAN Xp 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 TITAN Xp?

The H100 uses the Hopper architecture (2022) while the TITAN Xp uses Pascal (2017). The H100 delivers 163.6x the FP16 throughput and 6.1x the memory bandwidth of the TITAN Xp.