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 SXM5 demonstrates overwhelming superiority in AI-specific compute: its 1979 TFLOPS FP16 performance enables rapid training of large neural networks, where half-precision arithmetic dominates, while its 3958 TFLOPS FP8 supports efficient inference for quantized models. The RTX 5880 Ada's 69.7 TFLOPS FP16 and identical FP32 limit it to smaller-scale training or graphics tasks balanced across precisions.
Memory bandwidth defines workload feasibility: the H100's 3350 GB/s allows massive batch sizes for models exceeding 48 GB VRAM, avoiding out-of-memory errors in LLM training. The RTX 5880 Ada's 960 GB/s restricts it to modest batches, suiting inference on smaller models or rendering pipelines. The H100's 700W TDP reflects its datacenter scale, versus the RTX 5880 Ada's efficient 285W for workstations.
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
Choose the H100 SXM5 for large-scale AI training, distributed inference, or scientific computing requiring over 80 GB VRAM and 3350 GB/s bandwidth. Its 1979 TFLOPS FP16 accelerates optimization of billion-parameter models in cloud environments, where pricing from $0.80 per hour justifies the investment for production workloads.
When to Choose the RTX 5880 Ada
The RTX 5880 Ada fits professional workstations for 3D rendering, CAD simulations, or fine-tuning compact models under 48 GB VRAM. Its 285W TDP and PCIe form factor enable air-cooled, single-user setups without datacenter infrastructure, leveraging balanced 69.7 TFLOPS FP16 and FP32 for graphics-intensive tasks.
Use Cases
The H100's 1979 TFLOPS FP16 and 80-94 GB HBM3 VRAM support training of large language models with huge batch sizes. The RTX 5880 Ada's 48 GB GDDR6 cannot accommodate such scales.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth enable high-throughput serving of quantized LLMs. RTX 5880 Ada lacks FP8 and sufficient memory for production inference.
RTX 5880 Ada's 69.7 TFLOPS FP16 suffices for smaller models under 48 GB, while H100 excels for larger ones. Choice depends on model size.
RTX 5880 Ada's balanced 69.7 TFLOPS FP16/FP32 and PCIe form factor optimize image generation workflows on workstations. H100's power draw is excessive for single-user creative tasks.
H100's 3350 GB/s bandwidth and 80-94 GB VRAM handle complex simulations with large datasets. RTX 5880 Ada's 960 GB/s limits dataset sizes.
Frequently Asked Questions
What is the VRAM capacity of the H100 SXM5 versus RTX 5880 Ada?▾
The H100 SXM5 provides 80 to 94 GB HBM3 VRAM, far exceeding the RTX 5880 Ada's 48 GB GDDR6. This enables the H100 to process larger AI models without swapping.
How do FP16 performances compare?▾
H100 SXM5 achieves 1979 TFLOPS FP16, dwarfing the RTX 5880 Ada's 69.7 TFLOPS. This gap favors H100 for accelerated deep learning training.
What are the power requirements?▾
The H100 SXM5 has a 700W TDP suited for datacenters, while RTX 5880 Ada uses 285W for efficient workstation deployment. Lower TDP reduces cooling needs for the Ada.
Is cloud pricing available for these GPUs?▾
H100 SXM5 offers start from $0.80 per hour, averaging $3.58 per hour across 34 providers. No live cloud offers exist for RTX 5880 Ada.
Which has higher memory bandwidth?▾
H100 SXM5 delivers 3350 GB/s, over three times the RTX 5880 Ada's 960 GB/s. Superior bandwidth supports larger batches in training.
What architectures do they use?▾
H100 SXM5 employs Hopper from 2022 optimized for AI, while RTX 5880 Ada uses Ada Lovelace from 2024 geared toward professional graphics.
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.