NVIDIA Tesla T4 Review | 118 Data compared

Dell Support Article 000132094 evaluates NVIDIA T4 Tensor Core GPU training performance using MLPerf benchmarks on a PowerEdge R740 server, comparing up to four T4 GPUs against V100-PCIe configurations across tasks like ResNet-50 and Transformer. The study shows that while the single-width T4 offers superior scaling and energy efficiency, allowing higher density per server, it...Read more

In this review, Oliver Wehrens evaluates the performance of the OpenAI Whisper "large" model for transcribing a 2:01-hour (7,250 seconds) audio file, comparing the Nvidia Tesla T4 and the Nvidia Tesla A100 GPUs. Testing on Google Colab, the Tesla T4 required 794 seconds to complete the transcription, achieving a 9.2x speed increase relative to real-time audio playback. Stepping up...Read more

The ServeTheHome analysis identifies the NVIDIA Tesla T4 as a flexible, Turing-based GPU designed for AI inference, featuring 16GB of ECC memory and INT4 capabilities. Pros include its low-profile, single-slot form factor, 70W power consumption via the PCIe slot, and the ability to pack multiple units into 1U/2U servers without requiring external power. Conversely, the T4's cons...Read more

This Medium review benchmarks AI performance, showing that CPUs are unsuitable for LLM workloads, with the RTX 4090 offering the best price-to-performance for training and inference. While the Tesla T4 provides a cost-effective entry point with a 15x to 50x speed boost over CPUs, the RTX 5090 underperformed in tests due to optimization issues. Medium ·Mehul Gupta The main advantage...Read more

Tharindu Sankalpa's benchmark of Qwen models across NVIDIA T4, L4, and H100 GPUs highlights predictable scalability, with the H100 delivering high-speed, 50+ token-per-second performance for heavy workloads. The mid-tier L4 GPU is identified as the optimal, cost-efficient solution, providing a stable 30+ tokens per second at a moderate cost for 7B models. Conversely, the T4...Read more

The Dell technical article evaluates the NVIDIA T4 Tensor Core GPU using the MLPerf v0.5 suite on a PowerEdge R740, highlighting versatile support across AI workloads and efficient, high-density scaling for multiple cards. However, the T4 exhibited significant training instability in certain models (GNMT, NCF, Transformer) and, while suitable for lower-scale tasks, was outpaced 2.2x...Read more

The Microway review provides a comprehensive performance benchmark of the NVIDIA Tesla T4 GPU, comparing it to the high-end Tesla P100 and V100 models using the Scalable Heterogeneous Computing (SHOC) benchmark suite. The evaluation highlights the T4's design as an incredibly cost-effective, energy-efficient accelerator tailored specifically for machine learning inference and...Read more

The ServeTheHome review highlights the NVIDIA Tesla T4 as a highly efficient, 70W, single-slot, low-profile PCIe accelerator designed for enterprise AI inference, utilizing 16GB of ECC GDDR6 memory. Its key advantages include exceptional deployment density, reduced cable clutter, and improved server airflow, alongside significant INT4/INT8 throughput (130 TOPS) that allows for...Read more