The GPU-powered G2 instance family is home to molecular modeling,? rendering, machine learning, game streaming, and transcoding jobs that require massive amounts of parallel processing power. The NVIDIA GRID GPU includes dedicated, hardware-accelerated video encoding; it generates an H.264 video stream that can be displayed on any client device that has a compatible video codec. Here’s the block diagram from my original post:
Today we are adding a second member to the G2 family. The new g2.8xlarge instance has the following specifications:
- Four NVIDIA GRID GPUs, each with 1,536 CUDA cores and 4 GB of video memory and the ability to encode either four real-time HD video streams at 1080p or eight real-time HD video streams at 720P.
- 32 vCPUs.
- 60 GiB of memory.
- 240 GB (2 x 120) of SSD storage.
From our Customers
AWS customer OpenEye Scientific provides software to the pharmaceutical industry for molecular modeling and cheminformatics. The additional memory and compute power of the g2.8xlarge allows them to accelerate their modeling and shape-fitting process. Brian Cole (their GPU Computing Lead) told us:
Here’s a visual representation of the scaling that they have been able to achieve by using all four GPUs in a g2.8xlarge instance:
AWS customer OTOY builds GPU-based software that is designed to create cutting-edge digital content. Their AWS-powered Octane Render Cloud (ORC) provides users with high-quality, cloud-based rendering.
3D artists and visual effects (VFX) houses can use ORC to access essentially unlimited rendering capacity (including computationally intensive tasks such as light fields and path-traced cloud gaming), all powered by EC2 instances equipped with GPUs. This frees up their local workstations for creative work.
ORC’s web-based UI allows users to log in, upload projects, and create render jobs. The jobs are rendered on g2.2xlarge and g2.8xlarge instances and the user receives an email notification when the rendering is complete. Visual assets are deduplicated and stored in S3; this allows for space efficiency even if render scenes from different users make use of some of the same assets.
Brigade is OTOY’s real-time GPU path tracer. They are currently using ORC to port Octane scenes to Brigade for live, path-traced cloud gaming. Take a look at this video to see what this looks like:
Finally, AWS customer Butterfly Network (“Transforming Diagnostic and Therapeutic Imaging with Devices, Deep Learning, and the Cloud”) uses the g2.8xlarge to support their machine learning platform. Alex Rothberg (Senior Scientist) told us:
Go GPU Today!
You can launch these instances today in the US East (Northern Virginia), US West (Northern California), US West (Oregon), Europe (Ireland), Asia Pacific (Singapore), and Asia Pacific (Tokyo) regions today in On-Demand or Spot form; Reserved Instances are also available.