H200 vs RTX 5880 Ada

HoppervsAda LovelaceUpdated 36 days ago

The H200 emerges as the clear winner for most AI and HPC use cases. Its 141 GB VRAM, 4800 GB/s bandwidth, and 1979 TFLOPS FP16 performance enable handling of massive models and batches that the RTX 5880 Ada cannot match with 48 GB and 69.7 TFLOPS. Datacenter scalability seals its dominance over workstation limits.

H200 from $1.99/hr

Specifications Compared

SpecH200RTX-5880-ADA
TDP700W285W
VRAM141 GB48 GB
CUDA Cores16,89614,080
Memory TypeHBM3eGDDR6
ArchitectureHopperAda Lovelace
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBand
Tensor Cores528440
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS69.7 TFLOPS
FP32 Performance67 TFLOPS69.7 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS1,115 TOPS
Memory Bandwidth4,800 GB/s960 GB/s

Performance Analysis

The H200 dominates in raw compute for AI workloads: its 1979 TFLOPS FP16 throughput vastly exceeds the RTX 5880 Ada's 69.7 TFLOPS, enabling faster training of large language models where half-precision is standard. The FP32 performance tells another story: H200 at 67 TFLOPS nearly matches the RTX 5880 Ada's 69.7 TFLOPS, making the latter competitive in single-precision tasks like simulations or rendering. This delta means the H200 accelerates mixed-precision training pipelines, while the RTX 5880 Ada suits FP32-heavy graphics workflows.

Memory specifications reshape real-world usage profoundly. The H200's 141 GB HBM3e and 4800 GB/s bandwidth support enormous batch sizes in LLM training, fitting models up to hundreds of billions of parameters without swapping. The RTX 5880 Ada's 48 GB GDDR6 at 960 GB/s limits it to smaller batches or models, risking out-of-memory errors in large-scale inference. Datacenter interconnects like NVLink and InfiniBand on the H200 enable multi-GPU scaling, absent on the PCIe-only RTX 5880 Ada.

Power efficiency tilts toward the RTX 5880 Ada at 285W TDP versus the H200's 700W, ideal for edge or single-node setups. However, the H200's FP8 capability at 3958 TFLOPS positions it for next-generation inference optimizations.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

H200

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vultr
Vultr
NVIDIA GH200 Grace Hopper
96GB VRAM
$1.99/GPU/hr
Available
Lambda Labs
Lambda Labs
NVIDIA GH200 Grace Hopper
96GB VRAM
$2.29/GPU/hr
Available
Nebius
Nebius
NVIDIA H200 SXM
141GB VRAM
$2.45/GPU/hr
CoreWeave
CoreWeave
8×NVIDIA H200 SXM
141GB VRAM
$2.58/GPU/hr
$20.64/hr total (8×)
Ori
Ori
4×NVIDIA H200 SXM
141GB VRAM
$3.50/GPU/hr
$14.00/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the H200

The H200 excels in datacenter deployments for large-scale AI training and inference. Its 141 GB HBM3e VRAM accommodates massive models, and 4800 GB/s bandwidth sustains high throughput during gradient computations. Multi-node scaling via NVLink and InfiniBand makes it ideal for clusters handling petabyte-scale datasets.

Cloud users benefit from 26 live offers starting at $0.50 per hour, averaging $3.62 per hour, for cost-effective access to 1979 TFLOPS FP16 performance.

When to Choose the RTX 5880 Ada

The RTX 5880 Ada fits workstation environments requiring balanced FP32 and FP16 at 69.7 TFLOPS each. Its 285W TDP and PCIe form factor suit single-node graphics, CAD, or visualization without datacenter infrastructure.

Lower memory needs align with 48 GB GDDR6 for professional rendering or smaller ML prototypes, avoiding the H200's high power and cost overhead.

Use Cases

LLM Training
H200

The H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support massive models and large batches. The RTX 5880 Ada's 48 GB limits scale.

LLM Inference
H200

3958 TFLOPS FP8 and 4800 GB/s bandwidth on the H200 optimize high-throughput serving. RTX 5880 Ada's lower specs constrain concurrency.

Fine-tuning
H200

H200's memory capacity fits full model fine-tuning without quantization. RTX 5880 Ada requires techniques to fit 48 GB limit.

Stable Diffusion
Either

RTX 5880 Ada's balanced 69.7 TFLOPS FP32 suits generation tasks efficiently at 285W. H200 overkill unless scaling to high resolutions.

Scientific Computing
RTX 5880 Ada

RTX 5880 Ada's 69.7 TFLOPS FP32 matches workstation simulations precisely. H200's FP32 at 67 TFLOPS adds little value outside AI.

Frequently Asked Questions

What is the VRAM difference between H200 and RTX 5880 Ada?

The H200 provides 141 GB HBM3e VRAM, nearly three times the RTX 5880 Ada's 48 GB GDDR6. This allows the H200 to handle much larger AI models without memory constraints.

How do FP16 performances compare?

H200 achieves 1979 TFLOPS in FP16, over 28 times the RTX 5880 Ada's 69.7 TFLOPS. This gap accelerates deep learning training significantly on the H200.

What are the power requirements?

The H200 draws 700W TDP, suited for datacenters, while the RTX 5880 Ada uses 285W for workstations. Efficiency favors the RTX 5880 Ada in power-sensitive setups.

Is the RTX 5880 Ada available on cloud platforms?

No live cloud offers exist for the RTX 5880 Ada currently. The H200 has 26 offers from $0.50 per hour, averaging $3.62 per hour.

Which has higher memory bandwidth?

H200 delivers 4800 GB/s, five times the RTX 5880 Ada's 960 GB/s. This boosts batch sizes and model loading speeds on the H200.

What architectures do they use?

H200 uses Hopper from 2024, optimized for AI compute. RTX 5880 Ada employs Ada Lovelace from 2024, balancing graphics and professional workloads.

Which is cheaper to rent, the H200 or the RTX 5880 Ada?

Cloud rental prices for both the H200 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 H200 have compared to the RTX 5880 Ada?

The H200 has 141 GB of HBM3e memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.

Can I find H200 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 H200 and the RTX 5880 Ada?

The H200 uses the Hopper architecture (2024) while the RTX 5880 Ada uses Ada Lovelace (2024). The H200 delivers 28.4x the FP16 throughput and 5.0x the memory bandwidth of the RTX 5880 Ada.