Budget inference (2018-2020)
NVIDIA
Turing
NVIDIA Turing GPUs offer the lowest cost of entry for AI inference. With GDDR6 memory and low power consumption (70W T4), they're ideal for budget inference workloads and edge computing.
GPU Models in this Family
Click any card to expand detailed specifications
T4
16 GB GDDR6320 GB/sPCIe Gen3 (single-slot)
T4
Low-cost, low-power inference GPU. 70W TDP — no extra power connector needed. Most affordable AI GPU.
Quadro RTX 8000
48 GB GDDR6672 GB/sPCIe Gen3
Quadro RTX 8000
High-end professional workstation GPU (Turing). 48GB GDDR6 — the largest VRAM in the Turing workstation lineup.
Quadro RTX 6000
24 GB GDDR6672 GB/sPCIe Gen3
Quadro RTX 6000
Professional workstation GPU (Turing). 24GB GDDR6 with ECC for rendering, AI, and graphics workloads.
Quick Comparison
| GPU Model | VRAM | Bandwidth | FP16 | TDP | Starting Price |
|---|---|---|---|---|---|
| T4 | 16 GB GDDR6 | 320 GB/s | 65 TFLOPS (with Tensor Cores) | 70W | — |
| Quadro RTX 8000 | 48 GB GDDR6 | 672 GB/s | 131 TFLOPS (with Tensor Cores) | 260W | — |
| Quadro RTX 6000 | 24 GB GDDR6 | 672 GB/s | 131 TFLOPS (with Tensor Cores) | 260W | — |
Why Choose Turing?
Proven Performance
Turing GPUs power the world's largest AI training clusters. Battle-tested in production at scale for LLM training, fine-tuning, and inference.
Cloud-Native Ready
Available across multiple cloud providers with hourly billing. Compare real-time pricing and pick the cheapest option for your workload.
Ecosystem Support
Full compatibility with PyTorch, TensorFlow, JAX, vLLM, TensorRT, and all major ML frameworks. NVLink for multi-GPU scaling.