Specifications Compared
| Spec | RTX-4080 | RTX-6000-ADA |
|---|---|---|
| TDP | 320W | 300W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 9,728 | 18,176 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 304 | 568 |
| FP16 Performance | 48.7 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 91.1 TFLOPS |
| INT8 Performance | 780 TOPS | 1,457 TOPS |
| Memory Bandwidth | 717 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada outperforms the RTX 4080 in raw compute: its 91.1 TFLOPS in FP16 and FP32 doubles the RTX 4080's 48.7 TFLOPS, accelerating training and inference workloads that rely on half-precision and single-precision operations. This delta enables faster model convergence during training and higher throughput in inference pipelines. Memory capacity presents the largest gap: 48 GB on the RTX 6000 Ada supports larger models and batch sizes than the RTX 4080's 16 GB, reducing out-of-memory errors in large language model handling. Bandwidth follows suit at 960 GB/s versus 717 GB/s, allowing quicker data transfers that sustain larger batches without bottlenecks. Power draw favors the RTX 6000 Ada slightly at 300W TDP against 320W, aiding dense deployments. NVLink on the RTX 6000 Ada facilitates efficient scaling across multiple GPUs, unlike the RTX 4080's lack of specified interconnect.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
RTX 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the RTX 4080
The RTX 4080 suits budget-conscious users running inference or fine-tuning on models fitting within 16 GB VRAM. Its lower pricing from $0.11 per hour makes it ideal for high-volume tasks like Stable Diffusion generation where 48.7 TFLOPS suffices and cost savings accumulate. Deploy it for single-GPU setups without NVLink needs, prioritizing affordability over capacity.
When to Choose the RTX 6000 Ada
Opt for the RTX 6000 Ada when workloads demand 48 GB VRAM for large models or extensive batch sizes in training. Its 91.1 TFLOPS and 960 GB/s bandwidth excel in professional scientific computing or LLM training, with NVLink enabling multi-GPU efficiency. Choose it despite higher average costs of $1.37 per hour for reliability in demanding enterprise environments.
Use Cases
The RTX 6000 Ada's 48 GB VRAM and 91.1 TFLOPS handle large datasets and models that exceed the RTX 4080's 16 GB limit. NVLink supports multi-GPU scaling for extended training runs.
48 GB VRAM on the RTX 6000 Ada accommodates bigger batch sizes for high-throughput inference, outperforming the RTX 4080's 16 GB capacity. Higher 960 GB/s bandwidth reduces latency in serving requests.
Fine-tuning large models benefits from the RTX 6000 Ada's 91.1 TFLOPS and ample VRAM, avoiding swaps that slow the RTX 4080. It ensures efficient parameter updates on datasets up to 48 GB.
The RTX 4080's 48.7 TFLOPS and $0.11 per hour starting price deliver cost-effective image generation within 16 GB VRAM limits. It matches consumer workflows without needing professional extras.
RTX 6000 Ada's 300W TDP and NVLink suit simulations requiring high FP32 performance at 91.1 TFLOPS and multi-GPU coordination. Its bandwidth of 960 GB/s handles complex data flows better.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 6000 Ada provides 48 GB GDDR6 VRAM, three times the RTX 4080's 16 GB GDDR6X. This enables handling of larger models in training and inference. Memory bandwidth also favors the RTX 6000 Ada at 960 GB/s over 717 GB/s.
What are the compute performance differences?▾
RTX 6000 Ada achieves 91.1 TFLOPS in both FP16 and FP32, nearly double the RTX 4080's 48.7 TFLOPS per precision. This boosts training speed and inference throughput significantly. Both use Ada Lovelace architecture from 2022.
How do cloud prices compare?▾
RTX 4080 starts at $0.11 per hour with an average of $0.28 per hour across 8 offers, much lower than RTX 6000 Ada's $0.40 per hour start and $1.37 per hour average across 35 offers. Price reflects consumer versus professional positioning. Availability is broader for the RTX 6000 Ada.
What is the power consumption?▾
RTX 4080 has a 320W TDP, slightly higher than RTX 6000 Ada's 300W. Both fit PCIe form factors for standard cloud instances. Lower TDP on RTX 6000 Ada aids power-efficient clusters.
Does either support multi-GPU interconnects?▾
RTX 6000 Ada includes NVLink for high-speed multi-GPU communication, absent on RTX 4080. This matters for scaled training jobs. PCIe is common to both for single-unit use.
Which is better for AI workloads?▾
RTX 6000 Ada excels in demanding AI tasks with 48 GB VRAM and 91.1 TFLOPS, ideal for LLMs. RTX 4080 fits lighter inference at lower costs starting $0.11 per hour. Choice depends on model size and budget.
Which is cheaper to rent, the RTX 4080 or the RTX 6000 Ada?▾
Cloud rental prices for both the RTX 4080 and RTX 6000 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 RTX 4080 have compared to the RTX 6000 Ada?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find RTX 4080 and RTX 6000 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 RTX 4080 and the RTX 6000 Ada?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 1.9x the FP16 throughput and 1.3x the memory bandwidth of the RTX 4080.