Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-4500-ADA |
|---|---|---|
| TDP | 260W | 210W |
| VRAM | 48 GB | 24 GB |
| CUDA Cores | 4,608 | 7,680 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 240 |
| FP16 Performance | 16.3 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 39.6 TFLOPS |
| Memory Bandwidth | 672 GB/s | 432 GB/s |
Performance Analysis
The RTX 4500 Ada's FP16 and FP32 performance reaches 39.6 TFLOPS, more than double the Quadro RTX 8000's 16.3 TFLOPS, accelerating training and inference workloads that rely on half-precision or single-precision floating-point operations. This higher throughput reduces iteration times in deep learning pipelines. For inference specifically, the increased compute capacity supports higher request volumes per second.
Memory differences impact batch sizes profoundly: the Quadro RTX 8000's 48 GB VRAM and 672 GB/s bandwidth accommodate larger batches in memory-bound tasks like LLM training, preventing out-of-memory errors that could occur with the RTX 4500 Ada's 24 GB and 432 GB/s. Lower bandwidth on the RTX 4500 Ada may bottleneck data-intensive simulations.
Power efficiency favors the RTX 4500 Ada at 210W TDP versus the Quadro RTX 8000's 260W, lowering operational costs in prolonged cloud runs. The six-year architectural gap underscores Ada Lovelace optimizations for modern AI frameworks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the Quadro RTX 8000
Select the Quadro RTX 8000 for workloads exceeding 24 GB VRAM, such as training large language models or processing high-resolution volumetric data in scientific visualization. Its 48 GB capacity and 672 GB/s bandwidth sustain massive batch sizes without performance degradation. NVLink interconnect further excels in multi-GPU configurations for scaled simulations.
When to Choose the RTX 4500 Ada
The RTX 4500 Ada suits compute-heavy tasks like real-time inference or fine-tuning mid-sized models, leveraging 39.6 TFLOPS FP16 and FP32 performance. Its 210W TDP ensures lower power draw than the 260W Quadro RTX 8000, ideal for cost-sensitive cloud environments. Availability from $0.34 per hour makes it practical for on-demand rentals.
Use Cases
The Quadro RTX 8000's 48 GB VRAM supports larger models and batch sizes than the RTX 4500 Ada's 24 GB, reducing training interruptions. Its 672 GB/s bandwidth aids data loading in memory-intensive phases.
RTX 4500 Ada's 39.6 TFLOPS FP16 performance delivers faster token generation than the Quadro RTX 8000's 16.3 TFLOPS. Lower 210W TDP suits high-throughput serving.
Smaller models fit within 24 GB VRAM on RTX 4500 Ada for 39.6 TFLOPS speed; larger ones require Quadro RTX 8000's 48 GB. Choice depends on dataset scale.
Ada Lovelace architecture on RTX 4500 Ada optimizes generative tasks with 39.6 TFLOPS, outperforming Turing's 16.3 TFLOPS on Quadro RTX 8000. Efficient at 210W TDP.
Quadro RTX 8000's 48 GB VRAM and 672 GB/s bandwidth handle large simulations better than RTX 4500 Ada's 24 GB and 432 GB/s. NVLink enables multi-GPU scaling.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 8000 or RTX 4500 Ada?▾
The Quadro RTX 8000 has 48 GB GDDR6 VRAM, double the RTX 4500 Ada's 24 GB. This advantage supports larger AI models. Bandwidth also favors the Quadro at 672 GB/s over 432 GB/s.
Is the RTX 4500 Ada faster than the Quadro RTX 8000?▾
Yes, the RTX 4500 Ada achieves 39.6 TFLOPS in FP16 and FP32, surpassing the Quadro RTX 8000's 16.3 TFLOPS. This boosts training and inference speeds. Ada Lovelace architecture from 2023 provides the edge over 2018 Turing.
What is the power consumption of these GPUs?▾
The RTX 4500 Ada has a 210W TDP, lower than the Quadro RTX 8000's 260W. This improves efficiency in cloud usage. Lower TDP reduces cooling needs.
Does the Quadro RTX 8000 support NVLink?▾
Yes, the Quadro RTX 8000 includes NVLink for multi-GPU communication, unlike the RTX 4500 Ada. This aids scaled workloads. Both use PCIe form factors.
What are the cloud prices for RTX 4500 Ada?▾
RTX 4500 Ada offers start from $0.34 per hour, averaging $0.51 per hour across three providers. Quadro RTX 8000 has no live offers. Prices reflect on-demand availability.
Which architecture is newer?▾
RTX 4500 Ada uses Ada Lovelace from 2023, while Quadro RTX 8000 relies on Turing from 2018. Newer architecture yields higher 39.6 TFLOPS performance.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 4500 Ada?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 4500 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 8000 have compared to the RTX 4500 Ada?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find Quadro RTX 8000 and RTX 4500 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 8000 and the RTX 4500 Ada?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4500 Ada delivers 2.4x the FP16 throughput and 1.6x the memory bandwidth of the Quadro RTX 8000.