Specifications Compared
| Spec | H100 | RTX-5880-ADA |
|---|---|---|
| TDP | 700W | 285W |
| VRAM | 80-94 GB | 48 GB |
| CUDA Cores | 16,896 | 14,080 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 440 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 67 TFLOPS | 69.7 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 1,115 TOPS |
| Memory Bandwidth | 3,350 GB/s | 960 GB/s |
Performance Analysis
The H100 demonstrates superior FP16 performance at 1979 TFLOPS compared to the RTX 5880 Ada's 69.7 TFLOPS, accelerating AI training where half-precision computations dominate. Its FP32 rate of 67 TFLOPS nearly matches the RTX 5880 Ada's 69.7 TFLOPS, but the wide FP16 to FP32 delta on H100 optimizes mixed-precision training pipelines, reducing overall time for large models.
Memory bandwidth presents a key disparity: H100's 3350 GB/s versus 960 GB/s enables larger batch sizes during training, minimizing overhead from data transfers and allowing epochs to complete faster on datasets exceeding 48 GB. For inference, H100's 80 to 94 GB VRAM accommodates full model loading without sharding, boosting throughput.
The RTX 5880 Ada's balanced FP16 and FP32 at 69.7 TFLOPS suits inference on smaller models or graphics tasks, but its lower bandwidth limits scalability for high-volume workloads. H100's FP8 capability at 3958 TFLOPS further enhances quantized inference efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100
| 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
The H100 excels in large-scale AI training and inference where VRAM exceeds 48 GB, such as with models requiring 80 to 94 GB HBM3. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth support massive batch sizes and multi-GPU scaling via NVLink or InfiniBand.
Datacenter deployments benefit from 58 cloud offers starting at $0.80 per hour, justifying 700W TDP for workloads demanding FP8 at 3958 TFLOPS.
When to Choose the RTX 5880 Ada
The RTX 5880 Ada suits workstation environments with its 285W TDP and PCIe form factor, ideal for single-GPU tasks like visualization or small-scale ML. Balanced 69.7 TFLOPS FP16 and FP32 performance handles graphics-intensive workflows without datacenter infrastructure.
Users avoiding cloud dependency prefer it for on-premises setups, though no live cloud offers exist currently.
Use Cases
H100's 1979 TFLOPS FP16 and 80 to 94 GB VRAM handle massive parameter counts and large batches. RTX 5880 Ada's 48 GB limits model scale.
H100 delivers 3958 TFLOPS FP8 for quantized serving and 3350 GB/s bandwidth for high throughput. RTX 5880 Ada's 69.7 TFLOPS suffices only for smaller deployments.
H100 supports larger context windows with 80 to 94 GB VRAM during fine-tuning. RTX 5880 Ada works for models under 48 GB but scales poorly.
RTX 5880 Ada's balanced 69.7 TFLOPS FP16/FP32 and Ada architecture optimize image generation workflows. H100 overkill for single-user creative tasks.
H100's 67 TFLOPS FP32 and high bandwidth accelerate simulations with large datasets. RTX 5880 Ada fits lighter computations at lower power.
Frequently Asked Questions
What is the VRAM capacity of H100 versus RTX 5880 Ada?▾
H100 offers 80 to 94 GB HBM3 VRAM, enabling larger models than RTX 5880 Ada's 48 GB GDDR6. This difference impacts batch sizes in training.
How do FP16 performances compare?▾
H100 achieves 1979 TFLOPS FP16, over 28 times the RTX 5880 Ada's 69.7 TFLOPS. This boosts AI training speed significantly.
What are the power requirements?▾
H100 has a 700W TDP for datacenter use, while RTX 5880 Ada consumes 285W, suiting workstations. Lower TDP reduces cooling needs.
Is RTX 5880 Ada available in the cloud?▾
No live cloud offers exist for RTX 5880 Ada currently. H100 has 58 offers averaging $3.16 per hour from $0.80.
Which has higher memory bandwidth?▾
H100 provides 3350 GB/s, over 3.5 times RTX 5880 Ada's 960 GB/s. This affects data-heavy workloads like large-batch training.
What architectures do they use?▾
H100 uses Hopper from 2022 with FP8 at 3958 TFLOPS. RTX 5880 Ada uses Ada Lovelace from 2024 with balanced FP16/FP32.
Which is cheaper to rent, the H100 or the RTX 5880 Ada?▾
Cloud rental prices for both the H100 and RTX 5880 Ada 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 RTX 5880 Ada?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find H100 and RTX 5880 Ada 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 RTX 5880 Ada?▾
The H100 uses the Hopper architecture (2022) while the RTX 5880 Ada uses Ada Lovelace (2024). The H100 delivers 28.4x the FP16 throughput and 3.5x the memory bandwidth of the RTX 5880 Ada.