A100-80GB provides up to 20X higher performance over the prior generations.
NVIDIA A100-80GB features the world's most advanced accelerator, the NVIDIA A100 Tensor Core GPU, enabling enterprises to consolidate training, inference, and analytics into a unified, easy-to-deploy AI infrastructure that includes direct access to NVIDIA AI experts. NVIDIA A100-80GB Cloud GPUs provide playground for Data Scientists to access right machines with 100s of Gigabytes of storage.
Benefits of E2E GPU Cloud
No Hidden Fees
No hidden or additional charges. What you see on pricing charts is what you pay.
NVIDIA Certified Elite CSP Partner
We are NVIDIA Certified Elite Cloud Service provider partner. Build or launch pre-installed software Cloud GPUs to ease your work
NVIDIA Certified Hardware
We are using NVIDIA certified hardware for GPU accelerated workloads.
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
GPU-accelerated 1-click NGC Containers
E2E Cloud GPUs have super simple one click support for NGC containers for deploying NVIDIA certified solutions for AI/ML/NLP/Computer Vision and Data Science workloads.
Linux A100 -80 GB GPU Dedicated Compute
( ≥ 2.9Ghz)
Linux A100 -80 GB - vGPU series
Linux A100 -40 GB GPU Dedicated Compute
( ≥ 2.9Ghz)
Earlier, GPUs were confined to perform domain-specific tasks with either training or inference. With NVIDIA A100, you can get the best of both worlds with an accelerator for training as well as inference. Compare to earlier cards, we can speedup training and inference by 3X to 7X.
One of the significant challenge in achieving high end-to-end throughput in a DL platform is to be able to keep the input video decoding performance matching the training and inference performance. A100 GPU fixed this by adding 5 NVDEC (NVIDIA DECode) unit compared to 1 Unit in earlier GPU Card.
A100 introduces double-precision Tensor Cores, this enables researchers to reduce a 10-hour, double-precision simulation running on NVIDIA V100 Tensor Core GPUs to just four hours on A100. HPC applications can also leverage TF32 precision in A100’s Tensor Cores to achieve up to 10X higher throughput for single-precision dense matrix multiply operations.
Natural Language Processing (NLP) has seen rapid progress in recent years. It is no longer possible to fit large models parameters in the main memory of even the largest GPU. NVIDIA A100 is the flagship product of the NVIDIA which is the only solution can run 1-trillion-parameter model in reasonable time with the scaling feature of A100-based systems connected by the new NVIDIA NVSwitch and Mellanox State of Art InfiniBand and ethernet solution.
Media publishers to surveillance systems, deep video analytics is the new vogue for extracting actionable insights from streaming video clips. NVIDIA A100’s memory bandwidth of 1.5 terabytes per second makes it perfect choice for image recognition, contactless attendance, and other deep learning applications.
How E2E GPU Cloud is helping Cloud Quest in their gaming journey
Latency is a critical part of Cloud Gaming. E2E GPU Cloud provided ultra-low network latency to Cloud Quest users and enhanced their gaming experience.