Quadro RTX 4000 vs RTX 5880 Ada

TuringvsAda LovelaceUpdated 35 days ago

The RTX 5880 Ada emerges as the superior choice for prevalent AI and compute tasks. Its 69.7 TFLOPS FP16/FP32 performance and 48 GB VRAM enable scaling to large models, outpacing the Quadro RTX 4000's 7.1 TFLOPS and 8 GB by wide margins. Modern workflows demand these specs despite current unavailability.

Quadro RTX 4000 from $0.56/hr

Specifications Compared

SpecQUADRO-RTX-4000RTX-5880-ADA
TDP160W285W
VRAM8 GB48 GB
CUDA Cores2,30414,080
Memory TypeGDDR6GDDR6
ArchitectureTuringAda Lovelace
Form FactorsPCIePCIe
Interconnect
Tensor Cores288440
FP16 Performance7.1 TFLOPS69.7 TFLOPS
FP32 Performance7.1 TFLOPS69.7 TFLOPS
Memory Bandwidth416 GB/s960 GB/s

Performance Analysis

Compute performance defines the core difference: the RTX 5880 Ada delivers 69.7 TFLOPS in FP16 and FP32, dwarfing the Quadro RTX 4000's 7.1 TFLOPS. For machine learning training, this accelerates FP16 matrix operations essential for deep neural networks, potentially completing epochs ten times faster. Inference benefits similarly, with higher throughput for real-time predictions on large models.

VRAM capacity is pivotal: 48 GB on the RTX 5880 Ada versus 8 GB on the Quadro RTX 4000 allows larger batch sizes in training, reducing overhead from frequent data swaps. Memory bandwidth compounds this: 960 GB/s on the RTX 5880 Ada, more than double the 416 GB/s of the Quadro RTX 4000, minimizes bottlenecks in data-intensive tasks like image generation or scientific simulations.

Power draw reflects scaling: the RTX 5880 Ada's 285W TDP supports its prowess, while the Quadro RTX 4000's 160W suits efficiency-focused setups. Both use PCIe form factors, ensuring compatibility across cloud instances.

Live Cloud Pricing

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

Quadro RTX 4000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Paperspace
Paperspace
NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
Available
Paperspace
Paperspace
NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
$1.12/hr total (2×)
Available
Paperspace
Paperspace
NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
$1.12/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the Quadro RTX 4000

The Quadro RTX 4000 excels in cost-sensitive or low-demand scenarios. Its 160W TDP enables denser cloud deployments compared to the RTX 5880 Ada's 285W, reducing operational costs. At $0.56 per hour average across five providers, it delivers reliable 7.1 TFLOPS for CAD rendering or basic ML inference where 8 GB VRAM suffices.

When to Choose the RTX 5880 Ada

The RTX 5880 Ada dominates memory-intensive workloads. Its 48 GB VRAM accommodates massive models in LLM fine-tuning, far beyond the Quadro RTX 4000's 8 GB limit. With 69.7 TFLOPS and 960 GB/s bandwidth, it accelerates training cycles and high-batch inference effectively.

Use Cases

LLM Training
RTX 5880 Ada

RTX 5880 Ada's 48 GB VRAM and 69.7 TFLOPS FP16 handle large models and batches infeasible on Quadro RTX 4000's 8 GB and 7.1 TFLOPS.

LLM Inference
RTX 5880 Ada

69.7 TFLOPS and 960 GB/s bandwidth on RTX 5880 Ada yield high throughput for real-time queries. Quadro RTX 4000's specs limit scale.

Fine-tuning
RTX 5880 Ada

48 GB VRAM supports parameter-heavy fine-tuning on RTX 5880 Ada. 7.1 TFLOPS on Quadro RTX 4000 restricts to smaller adapters.

Stable Diffusion
RTX 5880 Ada

RTX 5880 Ada's 69.7 TFLOPS accelerates diffusion steps with 48 GB for high-res generations. Quadro RTX 4000 bottlenecks at 8 GB.

Scientific Computing
RTX 5880 Ada

960 GB/s bandwidth and 69.7 TFLOPS on RTX 5880 Ada speed simulations. Quadro RTX 4000's 416 GB/s suits only modest datasets.

Frequently Asked Questions

Which GPU has higher performance?

The RTX 5880 Ada achieves 69.7 TFLOPS in FP16 and FP32, compared to 7.1 TFLOPS on the Quadro RTX 4000. This gap accelerates ML training and inference. Bandwidth reaches 960 GB/s on RTX 5880 Ada versus 416 GB/s.

What is the VRAM difference?

RTX 5880 Ada provides 48 GB GDDR6 VRAM, six times the Quadro RTX 4000's 8 GB. Larger capacity supports bigger models. It pairs with 960 GB/s bandwidth over 416 GB/s.

How do power requirements compare?

Quadro RTX 4000 draws 160W TDP, lower than RTX 5880 Ada's 285W. This favors efficiency in multi-GPU setups. Performance scales with higher TDP on Ada.

What are the cloud prices?

Quadro RTX 4000 averages $0.56 per hour across five providers. RTX 5880 Ada has no live offers currently. Availability drives Quadro choice now.

Which architecture is newer?

RTX 5880 Ada uses 2024 Ada Lovelace architecture, versus 2018 Turing on Quadro RTX 4000. Ada delivers 69.7 TFLOPS against 7.1 TFLOPS. Both are PCIe form factors.

Can both handle AI workloads?

RTX 5880 Ada excels with 48 GB VRAM for large AI models. Quadro RTX 4000 manages lighter tasks at 8 GB. FP16 performance is 69.7 TFLOPS versus 7.1 TFLOPS.

Which is cheaper to rent, the Quadro RTX 4000 or the RTX 5880 Ada?

Cloud rental prices for both the Quadro RTX 4000 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 Quadro RTX 4000 have compared to the RTX 5880 Ada?

The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.

Can I find Quadro RTX 4000 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 Quadro RTX 4000 and the RTX 5880 Ada?

The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 5880 Ada uses Ada Lovelace (2024). The RTX 5880 Ada delivers 9.8x the FP16 throughput and 2.3x the memory bandwidth of the Quadro RTX 4000.

Quadro RTX 4000 vs RTX 5880 Ada: 8GB vs 48GB | GPUPerHour