NVIDIA Quadro RTX 8000

NVIDIA48GB GDDR6PCIe Gen3Turing

Data updated 2026-11-05 16:49 UTC · refreshed every 5 min

Current Price

$0.39/hr

From $0.37/hr · lowest live offer

2 GPU · Limited

Current Price

$0.39

-5.0% (24h)

Available Now

2 GPU

Limited

Total in Network

42 GPU

Live data

Utilization

95.2%

High

Market history

Price Tracking

USD/hour (minimum · median)

Available GPUs

Ready to rent

Total in Network

Infrastructure Growth

Which LLMs run on one NVIDIA Quadro RTX 8000

Open VRAM calculator with Quadro RTX 8000

Estimated with our VRAM calculator for a single card: 8K context, 4 concurrent users, vLLM-style serving.

Largest that fitsINT4 / AWQ

Qwen3.6 35B A3B

35B MoE · 3B active

23.8 of 48 GB49%

~63 tok/s per stream

Details

Where the memory goes

  • Model weights21.88 GB
  • KV cache0.67 GB
  • Activations0.01 GB
  • CUDA & framework1.19 GB
Precision
INT4 / AWQ
Serving preset
8K context × 4 users
Users at this context
148
Spare context in leftover VRAM
982K
Fit score
85/100 · Moderate
Open in VRAM calculator
BalancedFP16

Qwen3-14B

14B

35.6 of 48 GB74%

~18 tok/s per stream

Details

Where the memory goes

  • Model weights28.00 GB
  • KV cache6.44 GB
  • Activations0.13 GB
  • CUDA & framework1.07 GB
Precision
FP16
Serving preset
8K context × 4 users
Users at this context
11
Spare context in leftover VRAM
71K
Fit score
68/100 · High
Open in VRAM calculator
CompactFP16

Qwen3.5-4B

4B

11.4 of 48 GB24%

~52 tok/s per stream

Details

Where the memory goes

  • Model weights9.20 GB
  • KV cache1.07 GB
  • Activations0.06 GB
  • CUDA & framework1.02 GB
Precision
FP16
Serving preset
8K context × 4 users
Users at this context
140
Spare context in leftover VRAM
1.0M
Fit score
95/100 · Comfortable
Open in VRAM calculator

Estimates, not benchmarks: real usage depends on the runtime, context and batch settings.

Technical Specifications

Memory

48GB GDDR6

FP32 Performance

16.3 TFLOPS

Tensor Performance

130 TFLOPS

Memory Bandwidth

672 GB/s

Architecture

Turing

TDP

260W

FP64 Performance

0.51 TFLOPS

CUDA Cores

4608

Tensor Cores

576

Ideal Use Cases

AI TrainingRenderingCAD/CAEScientific Visualization

About NVIDIA Quadro RTX 8000

The Quadro RTX 8000 is a flagship professional Turing GPU with 48GB memory for large workloads.

The NVIDIA Quadro RTX 8000 features 48GB of GDDR6 memory with 672 GB/s bandwidth, making it excellent for ai training, rendering, cad/cae. With 130 TFLOPS tensor performance and 16.3 TFLOPS FP32 compute, this NVIDIA Turing GPU delivers exceptional performance for demanding workloads.

Currently, 42 GPU Quadro RTX 8000 GPUs are available in the GPUniq network with 95.2% utilization. The average rental price is $0.39 per hour, with 2 GPU ready for immediate deployment.

Quadro RTX 8000 vs similar GPUs — specs & live rental prices

Prices are live minimum / median USD per hour on the GPUniq marketplace, as of 2026-11-05 16:49 UTC.

GPUVRAMArchitectureFP32TensorBandwidthTDPMin $/hrMedian $/hrAvailable
Quadro RTX 800048GB GDDR6Turing16.3 TFLOPS130 TFLOPS672 GB/s260W$0.41$0.411
Quadro RTX 600024GB GDDR6Turing16.3 TFLOPS130 TFLOPS672 GB/s260W$0.22$0.225
Quadro RTX 40008GB GDDR6Turing7.1 TFLOPS57 TFLOPS416 GB/s160W$0.20$0.201
Quadro P40008GB GDDR5Pascal5.3 TFLOPSN/A243 GB/s105W$0.08$0.094

Frequently Asked Questions

How much does it cost to rent NVIDIA Quadro RTX 8000?

The current rental price for NVIDIA Quadro RTX 8000 is $0.39 per hour on GPUniq. Prices may vary based on demand and availability.

What is NVIDIA Quadro RTX 8000 best used for?

NVIDIA Quadro RTX 8000 is ideal for AI Training, Rendering, CAD/CAE, Scientific Visualization. With 48GB of GDDR6 memory and 130 TFLOPS tensor performance, it excels at demanding AI and compute workloads.

How many NVIDIA Quadro RTX 8000 GPUs are available for rent?

Currently, there are 2 GPU available for immediate rental out of 42 GPU total in the GPUniq network. The current utilization is 95.2%.

Which LLMs can run on NVIDIA Quadro RTX 8000?

On a single NVIDIA Quadro RTX 8000, our VRAM calculator fits Qwen3.6 35B A3B (INT4 / AWQ, 23.8 of 48 GB); Qwen3-14B (FP16, 35.6 of 48 GB); Qwen3.5-4B (FP16, 11.4 of 48 GB) — estimated at 8K context with 4 concurrent users.

What are the specifications of NVIDIA Quadro RTX 8000?

NVIDIA Quadro RTX 8000 features 48GB GDDR6 memory, 16.3 TFLOPS FP32 performance, 130 TFLOPS tensor performance, 672 GB/s memory bandwidth, and 260W TDP. It uses the Turing architecture.

Related GPUs in Quadro Series

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$0.39/hr

Quadro RTX 8000 · 2 GPU

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