Demystifying NVIDIA Tesla T4
Demystifying NVIDIA Tesla T4
NVIDIA Tesla T4 is aptly named the most versatile GPU, thanks to its low profile high compute performance factors. This card takes virtualization, rendering, and rasterization to a whole new level based on the latest Turing architecture. Under the hood, there is a lot to demystify about the T4. So let us get into it.
The Spec Sheet
Architecture
Spec-wise, the T4 is a hard-hitter. The latest Turing-based 320 Tensor cores help it churn out nearly 40x more throughput from the system than previous generation Pascal cards.
Nvidia CUDA
There are 2560 CUDA cores present onboard. It propels the simulation and rendering capabilities of the card, increasing the overall versatility of the T4.
Precision
Despite its small form factor(roughly the dimensions of a cell phone), this card can deliver 8.1 TFLOPS of computing performance. It includes a whole range of inference precisions like FP16, FP32, INT8, and INT4.
Connectivity
The connectivity preference of this card is the 3rd Gen x16PCIe slot. It implies that it can provide higher performance without being unnecessarily complex to use.
TDP
With a Thermal Design Power(TDP) of just 70W, it is more energy-efficient than traditional gaming GPUs. It has a positive impact on the price-to-power ratio of the card.
VRAM
Coming to the memory department, even here, no corners are cut. This card packs a respectable amount of 16GB GDDR6 VRAM, with a matching bandwidth of more than 320 GB/s. It ensures that you can run large GPU-intensive workloads on this card without worry of running out of memory.
Speed is the Name of the Game
Almost everyone is trying to develop their own Artificial Intelligence(AI) models for their business workflows and integrated systems. The Tesla T4 comes in handy for this exclusive use case. These AI applications use inference to recognize images, understand human(or non-human) voices, and make correct predictions based on certain preferences. All these may sound complex, but these have to be deployed on the enterprise level through a much easier and faster process. Using the latest NVIDIA TensorRT Hyperscale Inference Platform of T4, you can achieve:
- Faster programmability
- Low latency i.e. faster response times
- Better accuracy
- Ease of handling complex neural network models
- Increased throughput
- Higher efficiency
- Increased rate of learning
One more thing – Its RTX On
Yes, NVIDIA Tesla T4 has integrated support for NVIDIA Ray Tracing architecture(RTX). It opens a large area of possibilities where clients can exploit the performance of this card. Such as:
- Real-time Ray Tracing workloads (creating realistic true-to-life visual renders)
- Accelerated batch rendering use case (for faster time to market)
- AI-powered graphical enhancements (for real-time image denoising and upscaling)
- Creating accurate photorealistic designs consisting of shadows, reflections, and colours (game development)
E2E Cloud – Your one-stop Cloud solution
E2E Cloud provides affordable cloud solutions to its clients. Companies can boost their AI workloads through E2E solutions. E2E provides cost-effective industry-level performance to companies.
- Video Encoding and Transcoding
The promising performance(130 Trillion Operations Per Second of INT8 and almost double that for INT4) and the small form factor of this card make it a very good choice for Cloud providers like E2E Cloud. Boasting the highest efficiency when it comes to inference, the prowess of this card can be utilized by clients for real-time video encoding and transcoding (for video streaming cloud services)
2. AI Engine
Not only that, the onboard CUDA cores of this card plays an important role in real-time machine learning models and designing complex neural network structures. It enables clients to perform AI-driven workloads with ease through the E2E Cloud servers.
Importance of Tesla T4 GPUs of E2E Cloud for Indian Clients
For clients, it is good news. The NVIDIA Tesla T4 GPUs are always available for use. Here are some of the salient features of the E2E Cloud service:
- All of the GPU servers of E2E Cloud are based in India, implying low latency for AI-driven workloads.
- Implementation of the latest hardware tech in order to remain ahead of the competition.
- Provides industry level engineering and service experience to clients.
- Convenient Service-Level Agreements(SLA) for hassle-free deployments.
- Affordable aggressive prices(available on an hourly-basis) that can meet every customers’ requirements.
You can learn more about E2E Cloud GPU service pricing here.
Wrapping Up
Setting up your own GPU cloud service is a very tedious and costly affair. E2E Cloud has already done that part for you and brings affordable GPU/CPU cloud services with top-notch performance. E2E Cloud has changed the cloud service providing market in India, with hundreds of satisfied clients.