Veritone, Inc., announced it now supports the
NVIDIA CUDA platform,
enabling organizations across the public and private sectors to run
intensive AI and machine learning (ML) tasks on NVIDIA GPUs, whether
on-premises or in the Microsoft Azure and Amazon Web Services (AWS)
clouds.
This
Veritone innovation unlocks new performance levels for organizations
using aiWARE, Veritone's proprietary OS for AI, as they can now process
massive amounts of video, audio and text dramatically faster and more
accurately by using the parallel-processing computational power of the newest generation of NVIDIA GPUs.
The
NVIDIA CUDA parallel computing platform and programming model enables
dramatic increases in computing performance by harnessing the power of
NVIDIA GPUs, which can process substantially more concurrent tasks than a
central processing unit (CPU).
By
taking advantage of the latest CUDA-compatible version of aiWARE
running in the Azure and AWS clouds, organizations can leverage GPU
auto-scaling to handle more demanding workloads than ever before,
seamlessly scaling GPUs in the cloud, whenever faster results are
needed.
"The
marriage of aiWARE and NVIDIA CUDA helps organizations realize
artificial intelligence and machine learning solutions that can process
vast amounts of data at unparalleled speeds," said Veritone Founder and
CEO Chad Steelberg. "We built aiWARE to uncover insights from video,
audio and text data, at scale, in near real-time. Supporting the CUDA
platform advances that mission."
"NVIDIA
AI technology enables dramatic increases in computing performance and
provides the needed foundation for creating GPU-accelerated applications
for a variety of business challenges," said Keith Strier, Vice
President of Worldwide AI Initiatives at NVIDIA. "NVIDIA CUDA offers
Veritone aiWARE the power and ease of use required for today's complex
GPU-based AI and machine learning workloads across a broad range of
industries."
The combination of aiWARE and NVIDIA CUDA opens doors in time-critical AI applications such as:
- Energy -
to optimize energy dispatch in real time and dynamically synchronize
and control distributed energy resources such as solar, wind and battery
power, down to the device level.
- Security - to securely and quickly authenticate into applications with multifactor SSO using face and voice biometrics.
- Smart Cities-
to extract valuable insights from large quantities of smart city
sensors, including street and municipal vehicle cameras, traffic and
roadway sensors, green building and environmental sensors and more.
- Media and Entertainment -
to automatically produce new, synthetic content from massive volumes of
existing back catalog and other previously produced content.
- Contact Centers -
to instantly transcribe, translate and voice-recognize customer calls,
classify requests, gauge sentiment and intent, and route appropriately.
- Industrial and Manufacturing -
to perform high-volume industrial inspection to efficiently manage the
flow of products through fulfillment, distribution and receiving areas.
This
new Veritone aiWARE capability is available on any on-prem or cloud GPU
that supports NVIDIA CUDA, including AWS and Azure. aiWARE supports the
latest GPUs offered by NVIDIA, including for network-isolated
deployments of aiWARE. For cloud-based aiWARE deployments, Azure
N-series VMs and AWS EC2 P2 and P3 instances are supported.
For more information about aiWARE and Veritone's artificial intelligence solutions, visit veritone.com.