Features 502 INT8 TOPs 204MB on-chip SRAM 75W TDP 40W typical 8 TOPs/W At-Memory Architecture Scalable voltage and frequency Low latency, native batch = 1 PCIe Gen4 x16 Applications The runAI200 devices are designed to accelerate a multiplicity of AI inference and HPC workloads, such as vision-based convolutional networks, transformer networks for natural language processing, […]
What’s Included Xilinx VCK190 Evaluation Board QSPI Book Module Pmod Module 2x Ethernet Cables 2x Micro SD cards 180W (12V) power supply Resources Quick Start Guide, Targeted Reference Designs, PetaLinux Board Support Package and more are available at the Xilinx VCK190 Product Webpage System Controller Image & Beam Tool Applications The VCK190 Evaluation Kit is
What’s Included Xilinx ZYNQ Ultrascale RFSoC Platgform (RFSoC2x2) 12V 72W power supply unit USB 3.0 A to Micro B Cable 2 RF cables with SMA connectors 16 GB MicroSD card with pre-loaded Linux and PYNQ image Resources Xilinx RFSoC2x2 Kit product page For documentation and reference designs, visit the RFSoC PYNQ product webpage A video
Features Complete design and verification environment Access to the FPGA based emulation Easy integration with TensorFlow and Pytorch Applications Low power AI at the edge Hardware Software exploration Machine learning accelerator on FPGA Presentation Accelerating AI 2021 – Challenges and Opportunities in Cloud and Edge Computing Resources BARVINN Source Code BARVINN: Barrel RISC-V Neural Network
Jump-start your research by using one of the available SwiftMotes out of the box or customize it to suit your R&D needs. SwiftMote includes everything needed to sense the environment, store the data, and forward the information to a phone or PC using Bluetooth. SwiftMote What’s Included TI CC2640 Bluetooth processor 128kB of Flash memory Light
AI-oriented heterogeneous computing architecture provides hierarchical APIs to help you quickly build AI applications and services based on the Ascend platform. Features The ultimate computing density 2.56 PFLOPS FP16 in a 4U space 1.7x the computing density of industry peers Superior perf./watt Supports air cooling and liquid cooling 2.56 PFLOPS/5.6 kW1 ultra-high energy efficiency, 1.3x
AI-oriented heterogeneous computing architecture provides hierarchical APIs to help you quickly build AI applications and services based on the Ascend platform. Features High integration Powered by the Huawei Ascend 310 AI processor, and integrates various peripheral interfaces and the Mind Studio, facilitating access to the development environment and enabling quick development Easy-to-use software environment Mind
CMC helps realize RISC-V designs by offering: Silicon-proven design platforms based on OpenHW Group CORE-V family of open-source cores CAD tools and flows for virtual system prototyping and ASIP design, physical implementation, PCB design, and software development Industry-standard tools from Cadence Design Systems, Synopsys, and Siemens CMC Cloud access, pre-configured to ensure quick and easy
The latest state-of-the-art acceleration technologies including the Alveo FPGAs, and Tesla V100 GPUs, closely coupled with server processors constitute the backbone of this cluster. The software stack consists of a complete ecosystem of machine learning frameworks, libraries and runtime targeting heterogeneous computing accelerators. FPGA/GPU Cluster Software Stack The FPGA/GPU cluster supports three the most commonly
High-performance design platforms for system designs that require large FPGA design capacity, memory and I/O bandwidth suitable for a wide range of compute-intensive applications.
FPGA-based design platforms featuring Xilinx FPGAs, memory and industry-standard peripherals that offer a rich set of features suitable for a wide range of applications.
The HCMP supports all versions of OpenCL, including OpenCL 2.2, and is designed to incorporate support for new OpenCL versions and devices, without requiring application recompilation.