Specifications Compared
| Spec | H100 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 700W | 260W |
| VRAM | 80-94 GB | 48 GB |
| CUDA Cores | 16,896 | 4,608 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 576 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 672 GB/s |
Performance Analysis
The H100 PCIe vastly outpaces the Quadro RTX 8000 in compute throughput, enabling faster AI model training and inference. Its 1979 TFLOPS FP16 performance, over 120 times the Quadro's 16.3 TFLOPS, accelerates mixed-precision training where FP16 predominates. FP32 at 67 TFLOPS on the H100, more than four times the Quadro's 16.3 TFLOPS, benefits simulation and rendering tasks requiring single-precision accuracy.
Memory bandwidth profoundly impacts real-world usage: the H100's 3350 GB/s supports massive batch sizes in LLM training, reducing iterations for models with billions of parameters, while the Quadro's 672 GB/s limits scalability for large datasets. The H100's 80 to 94 GB HBM3 VRAM handles datasets exceeding 48 GB, preventing out-of-memory errors in inference for high-resolution generative AI.
Power demands reflect capability gaps: the H100's 700W TDP sustains peak performance in dense clusters via PCIe 5.0 and NVLink, whereas the Quadro's 260W suits power-sensitive setups but throttles under sustained loads.
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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
When to Choose the H100 PCIe
Opt for the H100 PCIe in large-scale AI deployments requiring extreme performance. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth excel in LLM training and inference, processing models with 80 to 94 GB VRAM demands. Cloud pricing from $1.25 per hour makes it accessible for bursty workloads on PCIe form factor.
Scientific computing and fine-tuning benefit from FP8 at 3958 TFLOPS and InfiniBand interconnects, enabling multi-GPU scaling unavailable on the Quadro RTX 8000.
When to Choose the Quadro RTX 8000
Select the Quadro RTX 8000 for legacy workstation environments or power-constrained setups. Its 260W TDP consumes far less energy than the H100's 700W, ideal for on-premises professional visualization without datacenter cooling.
It suffices for lighter tasks compatible with Turing software stacks, leveraging 48 GB GDDR6 where workloads do not exceed that capacity and NVLink for dual-GPU configurations.
Use Cases
The H100's 1979 TFLOPS FP16 and 3350 GB/s bandwidth handle massive datasets and large batch sizes essential for training billion-parameter models. The Quadro RTX 8000's 16.3 TFLOPS cannot compete.
H100 supports high-throughput inference with 80 to 94 GB VRAM for large models and FP8 at 3958 TFLOPS. Quadro's 48 GB limits model size.
H100's 67 TFLOPS FP32 and vast memory enable efficient fine-tuning of pre-trained LLMs. Quadro lacks the bandwidth at 672 GB/s for optimal performance.
H100 accelerates high-resolution generation via superior FP16, but Quadro RTX 8000 handles standard Stable Diffusion with 48 GB VRAM adequately in power-limited setups.
H100's Hopper architecture and PCIe 5.0 interconnect scale simulations better than Quadro's Turing with 16.3 TFLOPS FP32.
Frequently Asked Questions
Which GPU has more VRAM: H100 PCIe or Quadro RTX 8000?▾
The H100 PCIe provides 80 to 94 GB HBM3 VRAM, exceeding the Quadro RTX 8000's 48 GB GDDR6. This enables larger models on the H100. Bandwidth also favors H100 at 3350 GB/s versus 672 GB/s.
What is the FP16 performance difference between H100 PCIe and Quadro RTX 8000?▾
H100 PCIe achieves 1979 TFLOPS FP16, over 120 times the Quadro RTX 8000's 16.3 TFLOPS. This gap accelerates AI training significantly. FP32 on H100 is 67 TFLOPS versus 16.3 TFLOPS.
How much power do these GPUs consume?▾
The H100 PCIe has a 700W TDP, while the Quadro RTX 8000 uses 260W. Lower TDP makes Quadro suitable for workstations. H100 requires datacenter power infrastructure.
What are the cloud prices for H100 PCIe versus Quadro RTX 8000?▾
H100 PCIe starts at $1.25 per hour, averaging $2.70 per hour across 18 offers. No live cloud offers exist for Quadro RTX 8000. H100 dominates cloud availability.
Do both support NVLink?▾
Both GPUs feature NVLink interconnects for multi-GPU communication. H100 adds PCIe 5.0 and InfiniBand options. Quadro is limited to PCIe form factor.
Which architecture is newer?▾
H100 uses Hopper from 2022, advancing beyond Quadro RTX 8000's Turing from 2018. Hopper includes FP8 compute at 3958 TFLOPS absent in Turing.
Which is cheaper to rent, the H100 or the Quadro RTX 8000?▾
Cloud rental prices for both the H100 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find H100 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The H100 uses the Hopper architecture (2022) while the Quadro RTX 8000 uses Turing (2018). The H100 delivers 121.4x the FP16 throughput and 5.0x the memory bandwidth of the Quadro RTX 8000.