Specifications Compared
| Spec | H100 | TITAN-V |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 80-94 GB | 12 GB |
| CUDA Cores | 16,896 | 5,120 |
| Memory Type | HBM3 | HBM2 |
| Architecture | Hopper | Volta |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 640 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 13.8 TFLOPS |
| FP64 Performance | 34 TFLOPS | 6.9 TFLOPS |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 653 GB/s |
Performance Analysis
The H100 SXM5's FP16 performance of 1979 TFLOPS vastly outpaces the TITAN V's 13.8 TFLOPS, enabling faster deep learning training where half-precision computations dominate. This gap shortens training epochs for large models by orders of magnitude on the H100 SXM5. In FP32, the H100 SXM5's 67 TFLOPS supports scientific simulations and inference better than the TITAN V's matched 13.8 TFLOPS.
Memory bandwidth defines practical limits: the H100 SXM5's 3350 GB/s sustains larger batch sizes in training, preventing out-of-memory errors for models exceeding 12 GB VRAM. The TITAN V's 653 GB/s restricts it to smaller batches, slowing convergence. For inference, the H100 SXM5's FP8 capability at 3958 TFLOPS further accelerates serving at scale.
Power draw underscores efficiency trade-offs: the H100 SXM5 requires 700W TDP for peak output, while the TITAN V manages 250W, suiting constrained environments but capping throughput.
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
Select the H100 SXM5 for large-scale AI training and inference requiring over 12 GB VRAM, such as LLMs with billions of parameters. Its 80 to 94 GB HBM3 and 3350 GB/s bandwidth handle massive datasets and batch sizes unavailable on the TITAN V. Cloud availability from $0.80 per hour across 32 offers enables scalable deployments with NVLink and PCIe 5.0 interconnects.
When to Choose the TITAN V
Choose the TITAN V for budget-conscious local setups with small models fitting in 12 GB HBM2. Its 250W TDP fits standard PCIe slots and power supplies without datacenter cooling. Lack of cloud offers makes it viable only for owned hardware in lightweight prototyping or legacy Volta software.
Use Cases
The H100 SXM5's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 support training massive LLMs, while the TITAN V's 12 GB HBM2 cannot accommodate model sizes or batches.
H100 SXM5 FP8 performance at 3958 TFLOPS and high bandwidth enable high-throughput serving; TITAN V lacks capacity for production-scale inference.
Fine-tuning demands substantial VRAM for gradients: H100 SXM5's 80 to 94 GB excels, exceeding TITAN V's 12 GB constraint.
Image generation benefits from H100 SXM5's 1979 TFLOPS FP16 for faster iterations; TITAN V's lower specs limit resolution and speed.
H100 SXM5's 67 TFLOPS FP32 and interconnects like NVLink suit simulations; TITAN V's 13.8 TFLOPS FP32 falls short for complex computations.
Frequently Asked Questions
What is the VRAM difference between H100 SXM5 and TITAN V?▾
The H100 SXM5 offers 80 to 94 GB HBM3 VRAM. The TITAN V provides 12 GB HBM2. This enables the H100 SXM5 to handle much larger models.
How do FP16 performances compare?▾
H100 SXM5 achieves 1979 TFLOPS in FP16. TITAN V reaches 13.8 TFLOPS. The H100 SXM5 accelerates training by over 140 times in half-precision.
What are the power requirements?▾
H100 SXM5 has a 700W TDP. TITAN V uses 250W. Lower power suits TITAN V for desktops, but limits peak performance.
Is TITAN V available in the cloud?▾
No live cloud offers exist for TITAN V. H100 SXM5 starts at $0.80 per hour across 32 offers. Cloud favors modern GPUs like H100 SXM5.
How does memory bandwidth differ?▾
H100 SXM5 delivers 3350 GB/s bandwidth. TITAN V offers 653 GB/s. Higher bandwidth on H100 SXM5 supports larger batch sizes.
What architectures do they use?▾
H100 SXM5 uses Hopper from 2022. TITAN V employs Volta from 2017. Hopper includes FP8 support at 3958 TFLOPS absent in Volta.
Which is cheaper to rent, the H100 or the TITAN V?▾
Cloud rental prices for both the H100 and TITAN V 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 V?▾
The H100 has 80 to 94 GB of HBM3 memory. The TITAN V has 12 GB of HBM2 memory.
Can I find H100 and TITAN V 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 V?▾
The H100 uses the Hopper architecture (2022) while the TITAN V uses Volta (2017). The H100 delivers 143.4x the FP16 throughput and 5.1x the memory bandwidth of the TITAN V.
