New Versal AI Edge ACAP series delivers
AI-enabled intelligence for automotive, robotics, healthcare, and
aerospace applications
Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive computing,
today introduced the Versal™ AI Edge series, designed to enable AI
innovation from the edge to the endpoint. With 4X the AI
performance-per-watt versus GPUs1 and 10X greater compute density
versus previous-generation adaptive SoCs, the Versal AI Edge series
is the world’s most scalable and adaptable portfolio for
next-generation distributed intelligent systems.
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The Versal AI Edge series is the newest
member of the Versal ACAP portfolio, adaptive SoCs that are fully
software-programmable, with performance and flexibility that far
exceed that of conventional CPUs, GPUs, and FPGAs. (Graphic:
Business Wire)
Versal AI Edge adaptive compute acceleration platforms (ACAPs)
deliver intelligence to a wide range of applications including:
automated driving with the highest levels of functional safety,
collaborative robotics, predictive factory and healthcare systems,
and multi-mission payloads for the aerospace and defense markets.
The portfolio features AI Engine-ML to deliver 4X machine learning
compute compared to the previous AI Engine architecture and
integrates new accelerator RAM with an enhanced memory hierarchy
for evolving AI algorithms. These architectural innovations deliver
up to 4X AI performance-per-watt versus GPUs and lower latency
resulting in far more capable devices at the edge.
AI-enabled automated systems require high compute density that
can accelerate whole applications from sensor to AI to real-time
control. Versal AI Edge devices achieve this by delivering 10X
compute density versus Zynq® UltraScale+™ MPSoCs, enabling more
intelligent autonomous systems. Additionally, Versal AI Edge
devices support multiple safety standards across industrial (IEC
61508), avionics (DO-254/178), and automotive (ISO 26262) markets,
where vendors can meet ASIL C random hardware integrity and ASIL D
systematic integrity levels.
"Edge computing applications require an architecture that can
evolve to address new requirements and scenarios with a blend of
flexible compute processing within tight thermal and latency
constraints,” said Sumit Shah, senior director, Product Management
and Marketing at Xilinx. “The Versal AI Edge series delivers these
key attributes for a wide range of applications requiring greater
intelligence, making it a critical addition to the Versal portfolio
with devices that scale from intelligent edge sensors to CPU
accelerators.”
“The market opportunity at the edge is growing exponentially and
AI chipsets that serve these unique applications are expected to
more than double from 2021 to 2025,” said Dan Mandell, senior
analyst, IoT and Embedded Technology at VDC Research. “By creating
a design for AI-specific tasks that focuses on performance
acceleration while remaining scalable and with low power, Xilinx’s
Versal AI Edge series is a compelling solution to address these
critical markets.”
The Versal AI Edge series takes the production-proven 7nm Versal
architecture and miniaturizes it for AI compute at low latency, all
with power efficiency as low as six watts and safety and security
measures required in edge applications. As a heterogeneous platform
with diverse processors, the Versal AI Edge series matches the
engine to the algorithm, with Scalar Engines for embedded compute,
Adaptable Engines for sensor fusion and hardware adaptability, and
Intelligent Engines for AI inference that scales up to 479 (INT4)
TOPS2—unmatched by ASSPs and GPUs targeting edge applications—and
for advanced signal processing workloads for vision, radar, LiDAR,
and software defined radio.
Connectivity blocks range from LPDDR-4266, 32Gb/s transceivers
to meet all the necessary protocols in edge applications, 40G
multirate Ethernet, PCIe® Gen4 with CCIX, and native MIPI support
for vision sensors up to eight-megapixel resolution and
beyond—critical to Level-2 ADAS and above. With more powerful AI
Engines and an enhanced memory hierarchy that includes accelerator
RAM, the Versal AI Edge series is ideal for a wider range of
applications across numerous markets.
Accessible to both hardware and software developers, Versal AI
Edge ACAPs provide a design-entry point for any developer,
including Vivado® design tools for hardware developers, the Vitis™
unified software platform for software developers, Vitis AI for
data scientists, and domain-specific operating systems, frameworks,
and acceleration libraries for the platform’s target
applications.
The Versal AI Edge series is the newest member of the Versal
ACAP portfolio, adaptive SoCs that are fully software-programmable,
with performance and flexibility that far exceed that of
conventional CPUs, GPUs, and FPGAs. ACAPs can be changed at both
the hardware and software level to dynamically adapt to the needs
of a wide range of applications and workloads from edge to cloud.
Versal AI Core and Versal Prime series are in full production, with
Versal Premium ACAPs now sampling.
Availability Versal AI Edge series design documentation
and support is available to early access customers, with shipments
expected during the first half of 2022, and will include a roadmap
for automotive- and defense-grade devices. More information on the
portfolio—including product table, white paper, and video can be
found at https://www.xilinx.com/versal-ai-edge.
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About Xilinx Xilinx, Inc. develops highly flexible and
adaptive processing platforms that enable rapid innovation across a
variety of technologies - from the cloud, to the edge, to the
endpoint. Xilinx is the inventor of the FPGA and adaptive SoCs
(including our adaptive compute acceleration platform, or ACAP),
designed to deliver the most dynamic computing technology in the
industry. We collaborate with our customers to create scalable,
differentiated, and intelligent solutions that enable the
adaptable, intelligent, and connected world of the future. For more
information, visit xilinx.com.
Source: Xilinx Newsroom
Category: Product Announcements
© Copyright 2021 Xilinx, Inc. Xilinx, the Xilinx logo and other
designated brands included herein are trademarks of Xilinx in the
United States and other countries.
____________________ 1 Jetson AGX Xavier, ResNet50 224x224,
batch=1,
https://developer.nvidia.com/embedded/jetson-agx-xavier-dl-inference-benchmarks
2 INT4 TOPS performance excludes sparsity, which can improve
compute by up to 2X
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