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
Performance disparities between the H100 and TITAN V profoundly impact machine learning workflows. The H100's FP16 throughput of 1979 TFLOPS dwarfs TITAN V's 13.8 TFLOPS, accelerating mixed-precision training by over 140 times in theory; FP32 at 67 TFLOPS versus 13.8 TFLOPS benefits single-precision tasks like simulations. FP8 support at 3958 TFLOPS on H100 enables ultra-efficient inference for quantized models, absent on TITAN V.
Memory specifications dictate practical limits: H100's 80-94 GB HBM3 VRAM handles massive datasets or large language models that exceed TITAN V's 12 GB HBM2, preventing out-of-memory errors. The 3350 GB/s bandwidth on H100 supports larger batch sizes during training, reducing iteration times, while TITAN V's 653 GB/s bottlenecks data movement in memory-intensive operations. Higher 700W TDP on H100 sustains peak performance longer than TITAN V's 250W, though it demands robust cooling.
These specs translate to real-world gains: H100 clusters scale via NVLink and PCIe 5.0 for distributed training, infeasible on TITAN V's basic PCIe form factor.
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 | |
|---|---|---|---|---|---|---|---|---|
 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 PCIe
Professionals tackling large-scale AI training or inference select the H100 PCIe for its 80-94 GB VRAM, which accommodates models exceeding 12 GB, and 1979 TFLOPS FP16 performance. Cloud access from $1.25 per hour suits bursty workloads without upfront hardware costs. Datacenter setups leverage NVLink and InfiniBand for multi-GPU scaling unavailable on TITAN V.
When to Choose the TITAN V
Users with existing TITAN V hardware choose it for low-power tasks at 250W TDP, avoiding H100's 700W demands. Legacy scientific computing or lightweight fine-tuning fits within 12 GB VRAM and 13.8 TFLOPS FP32. No cloud offers make it ideal for on-premises setups where purchase costs are sunk.
Use Cases
H100's 80-94 GB VRAM and 1979 TFLOPS FP16 handle massive models and large batches, far beyond TITAN V's 12 GB and 13.8 TFLOPS.
FP8 at 3958 TFLOPS and high bandwidth of 3350 GB/s on H100 deliver low-latency serving; TITAN V lacks FP8 and sufficient VRAM.
Larger 80-94 GB VRAM supports parameter-efficient methods on big models; TITAN V's 12 GB restricts scale.
TITAN V's 12 GB suffices for standard resolutions at 13.8 TFLOPS FP16; H100 excels for high-res or batched generation.
H100's 67 TFLOPS FP32 outperforms TITAN V's 13.8 TFLOPS for simulations; NVLink aids multi-GPU runs.
Frequently Asked Questions
What is the VRAM difference between H100 PCIe and TITAN V?▾
H100 PCIe offers 80-94 GB HBM3 VRAM, compared to TITAN V's 12 GB HBM2. This allows H100 to process much larger models without swapping.
How does FP16 performance compare?▾
H100 achieves 1979 TFLOPS in FP16, versus TITAN V's 13.8 TFLOPS. Training speeds improve dramatically on H100 for AI workloads.
What are the power requirements?▾
H100 PCIe has a 700W TDP, while TITAN V uses 250W. H100 needs stronger power supplies and cooling.
Is TITAN V available on cloud platforms?▾
No live offers exist for TITAN V. H100 PCIe starts at $1.25 per hour across 16 providers.
Which has higher memory bandwidth?▾
H100 provides 3350 GB/s, over five times TITAN V's 653 GB/s. This boosts batch sizes in training.
What architectures do they use?▾
H100 uses Hopper from 2022; TITAN V uses Volta from 2017. Hopper includes FP8 support at 3958 TFLOPS.
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.