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
H100's FP16 throughput hits 1979 TFLOPS: this accelerates deep learning training, where half-precision dominates for speed on large models. RTX 5880 Ada's 69.7 TFLOPS FP16 limits it to smaller datasets or batches. H100's FP8 at 3958 TFLOPS further boosts inference on quantized LLMs, unavailable on RTX.
FP32 performance shows balance on RTX 5880 Ada at 69.7 TFLOPS: it equals FP16 for graphics, simulations, or general compute. H100's 67 TFLOPS FP32 suffices but shines via tensor cores in mixed workloads.
Memory bandwidth defines bottlenecks: H100's 3350 GB/s pairs with 80-94 GB VRAM for huge batch sizes in training, minimizing data starvation. RTX 5880 Ada's 960 GB/s and 48 GB VRAM constrain it to modest scales, risking swaps in memory-intensive tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| 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 NVL
Enterprise AI training selects H100 NVL: 1979 TFLOPS FP16 and 80-94 GB VRAM process billion-parameter LLMs at scale. NVLink and InfiniBand interconnects enable multi-GPU clusters for faster iterations.
Production inference favors H100: 3958 TFLOPS FP8 delivers high throughput, with cloud access from $1.40 per hour supporting variable demands.
When to Choose the RTX 5880 Ada
Workstation prototyping chooses RTX 5880 Ada: 285W TDP integrates into standard PCIe setups without data center infrastructure. Balanced 69.7 TFLOPS FP16 and FP32 handles visualization or small ML inference efficiently.
Development budgets prefer RTX where purchasable: 48 GB VRAM suffices for fine-tuning mid-size models, avoiding H100's 700W power and cloud costs.
Use Cases
H100's 1979 TFLOPS FP16 and 80-94 GB HBM3 VRAM enable training of massive LLMs with large batch sizes via 3350 GB/s bandwidth.
3958 TFLOPS FP8 and NVLink interconnects provide superior throughput for production-scale LLM serving.
Ample 80-94 GB VRAM and high FP16 performance outperform RTX for efficient fine-tuning on large pre-trained models.
RTX 5880 Ada's 69.7 TFLOPS FP32 and 285W TDP suit iterative image generation in workstation environments.
H100's 67 TFLOPS FP32, 3350 GB/s bandwidth, and PCIe 5.0 accelerate complex simulations in HPC clusters.
Frequently Asked Questions
What is the VRAM capacity of H100 NVL versus RTX 5880 Ada?▾
H100 NVL features 80-94 GB HBM3 VRAM, exceeding RTX 5880 Ada's 48 GB GDDR6. This difference allows H100 to accommodate larger models without offloading.
How do memory bandwidths compare between these GPUs?▾
H100 NVL delivers 3350 GB/s, far surpassing RTX 5880 Ada's 960 GB/s. Higher bandwidth on H100 supports bigger batches in training and inference.
What are the current cloud prices for these GPUs?▾
NVIDIA H100 NVL starts at $1.40 per hour, averaging $2.89 per hour across nine offers. No live cloud offers exist for RTX 5880 Ada.
Which GPU has higher FP16 performance?▾
H100 NVL achieves 1979 TFLOPS FP16, dwarfing RTX 5880 Ada's 69.7 TFLOPS. This gap favors H100 for AI training acceleration.
What are the power requirements?▾
H100 NVL consumes 700W TDP, suited for datacenters. RTX 5880 Ada uses 285W, fitting standard workstations.
Does RTX 5880 Ada support NVLink?▾
RTX 5880 Ada lacks NVLink, relying on PCIe. H100 NVL includes NVLink for multi-GPU scaling.
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.
