Introducing HPC Optimized Amazon EC2 G4 Instances on Nebula Cloud
High Performance Computing
GPU Computing
Digital Transformation
Enterprise SaaS
Nebula Cloud is pleased to announce the availability of industry’s most cost-effective
GPU instances for machine learning inference and graphics-intensive
applications for India and APAC regions.
Amazon EC2 G4 instances are the industry’s most cost-effective and
versatile GPU instances for deploying machine learning models such as image
classification, object detection, and speech recognition, and for
graphics-intensive applications such as remote graphics workstations, game
streaming, and graphics rendering. G4 instances are available with NVIDIA GPUs
(G4dn) on Nebula Cloud.
G4dn instances
feature NVIDIA T4 GPUs and custom Intel Cascade Lake CPUs, and are optimized
for machine learning inference and small-scale training. These instances also
bring high performance to graphics-intensive applications including remote
workstations, game streaming, and graphics rendering. These instances are also
ideal for customers who prefer to use NVIDIA software such as RTX Virtual
Workstation and libraries such as CUDA, CuDNN, and NVENC.
Amazon EC2 G4dn
Instances
G4dn instances,
powered by NVIDIA T4 GPUs, are the lowest cost GPU-based instances in the cloud
for machine learning inference and small-scale training. They also provide high
performance and are a cost-effective solution for graphics applications that
are optimized for NVIDIA GPUs using NVIDIA libraries such as CUDA, CuDNN, and
NVENC. They provide up to 8 NVIDIA T4 GPUs, 96 vCPUs, 100 Gbps networking, and
1.8 TB local NVMe-based SSD storage and are also available as bare metal
instances.
Benefits
INCREASE
PERFORMANCE AND REDUCE MACHINE LEARNING INFERENCE COSTS
G4dn instances are
equipped with NVIDIA T4 GPUs which deliver up to 40X better low-latency
throughput than CPUs, so more requests can be served in real time. Also, G4dn
instances are optimized to be cost-effective for machine learning inference,
which can represent up to 90% of overall operational costs for machine learning
initiatives.
COST-EFFECTIVE SMALL-SCALE
TRAINING
G4dn instances are
also useful for small-scale/entry-level machine learning training jobs for
those businesses or institutions that are less sensitive to time-to-train. G4dn
instances deliver up to 65 TFLOPs of FP16 performance and are a compelling
solution for small-scale training jobs.
HIGH PERFORMANCE
FOR GRAPHICS INTENSIVE APPLICATIONS
G4dn instances have
up to 1.8X better graphics performance and up to 2X video transcoding
capability over the previous generation G3 instances. Customers can configure
virtual workstations with access to NVIDIA RTX Workstations at no additional
cost on Nebula Cloud.
Features
POWERED BY NVIDIA
T4 GPUS
NVIDIA T4 GPUs
accelerate diverse cloud workloads, including deep learning training and
inference and graphics. Based on the new NVIDIA Turing architecture, T4 GPUs
feature multi-precision Turing Tensor Cores and new RT Cores. Turing Tensor
Core technology with multi-precision computing for ML powers breakthrough
performance from FP32 to FP16 to INT8, as well as INT4 precisions. It delivers
up to 9.3X higher performance than CPUs on training and up to 36X on inference.
HIGH PERFORMANCE
NETWORKING AND STORAGE
G4dn instances
offer up to 100 Gbps of networking for applications requiring high throughput.
G4dn instances also support Elastic Fabric adapter (EFA) that enables customers
to run applications requiring high levels of inter-node communications at
scale. These instances offer up to 1.8 TB of NVMe-based SSD storage for
applications that require fast access to locally stored data.
RTX AND GAMING
DRIVERS
G4dn instances
offer NVIDIA RTX and Gaming drivers to customers at no additional cost. RTX
drivers can be used to provide high quality virtual workstations for a wide
range of visually intensive workflows. The Gaming driver provides unparalleled
graphics and compute support for game development.
Get Started with G4 Instances on Nebula Cloud today!