Power-Efficient Inference & AI Acceleration for Dense Deployments, Edge Workloads & Virtualization — All in a 70 W Single-Slot Form Factor
- Provisioned in 10 minutes
- 20+ Tier‑1 global data centers
- Unmetered 1/10/25 Gbps bandwidth
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NVIDIA Tesla T4 GPU Server Price
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🚀 Key Specifications
- GPU Architecture: NVIDIA Turing (TU104) , 12 nm, 13.6B transistors.
- CUDA Cores: 2,560; Tensor Cores: 320; RT Cores: 40.
- Memory: 16 GB GDDR6, 256‑bit, ~300 GB/s; ECC enabled.
- Performance: 8.1 TFLOPS FP32; 65 TFLOPS FP16; 130 TOPS INT8; 260 TOPS INT4.
- Form Factor: Single-slot PCIe 3.0×16, 70 W TDP, passive cooling.
- Virtualization: SR‑IOV, NVIDIA vGPU (1‑16 GB profiles), secure ECC memory.
⚡ Why Choose Tesla T4?
Universal acceleration
Packs compute, graphics, encoding, decoding, and tensor performance into 70 W.
Ideal for mixed workloads
One card replaces larger GPUs in inference, VDI, RTX rendering, and video pipelines using NVIDIA GRID/vGPU.
Dense, efficient deployments
Low profile and low power allow more GPUs per rack; best TCO in edge and cloud environments.
Enterprise-ready features
ECC memory, SR‑IOV, vGPU software support, all secure and cloud-compatible.
🎯 Top Use Cases
🧠 AI Inference & ML Pipelines
Efficiently run NLP, vision, recommendation, and transformer inferencing at scale , up to 130 TOPS.
🖥️ Virtual Desktops & VDI
Power virtual workstations and knowledge-worker desktops with native PC graphics and RTX using vGPU.
🎥 Video Transcoding & Streaming
Accelerate H.264/H.265/Vp9 codec pipelines with 320 GB/s memory and NVENC/NVDEC support.
🎮 Real-Time Rendering & RTX
Leverage RT cores and DLSS capabilities for CAD, Omniverse, and remote graphics workloads.
📊 Edge AI & IoT Workloads
Ideal for computer vision, anomaly detection, and edge inference thanks to low power and compact form factor.
☁️ Cloud Repatriation & GPU Virtualization
Migrate GPU-accelerated VMs from the cloud with full vGPU support, SR‑IOV, and enterprise security.
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Deep Dive & FAQs
How many T4 GPUs can fit per server?
Up to 8× single‑slot T4 cards can fit in PCIe-dense servers , ideal for compact GPU farms.
Is 70 W TDP manageable?
Absolutely, passive cooling makes it ideal for rack deployments with optimized airflow.
Does T4 support vGPU virtualization?
Yes, supports NVIDIA GRID/vGPU with SR‑IOV, offering flexible VM profiles from 1 to 16 GB
Is it good for both AI and graphics?
Yes, T4 delivers AI computing (~65 TFLOPS FP16) and graphics acceleration (CUDA + RT cores) simultaneously.
Better than other GPUs?
T4 delivers high performance per watt, low power draw, and universal capabilities, outperforming similarly power-hungry GPUs in mixed workloads.
Not sure exactly what you need?
No problem! Our talented engineers are here to help!
We will consult, architect, migrate, manage and do whatever it takes to help your business grow and succeed.
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