Saturday, May 17, 2025

Achronix Announces New VectorPath 815 FPGA Accelerator Card

Achronix Semiconductor Corporation, the leader in data acceleration FPGAs, announced the launch of the VectorPath® 815 (VP815), a new PCIe accelerator card powered by the industry- leading Speedster® 7t1500 FPGA, and engineered to meet the growing demands of AI workloads and high-performance computing (HPC).

FPGAs are uniquely suited for AI inferencing due to their massively parallel architecture, customizable data paths, and efficient handling of sparse and irregular computations — characteristics that traditional GPUs and CPUs struggle with. Unlike fixed-function ASICs, FPGAs provide hardware adaptability, allowing AI models to evolve over time without requiring new silicon. This adaptability is becoming increasingly valuable as AI models trend toward more efficient, lower precision (such as 1-bit, 2-bit and 4-bit) inferencing architectures, which significantly reduce computational overhead through low-precision operations. Achronix FPGAs, featuring integrated machine learning processors (MLPs), are specifically optimized for these compact, quantized workloads, offering unparalleled performance and seamless programmability for rapidly evolving AI applications. The VectorPath 815 accelerator card exemplifies this capability by delivering unprecedented performance, flexibility, and accelerated time-to-market for high-efficiency AI inference deployments.

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“As AI and HPC workloads continue to demand extreme performance and energy efficiency, Achronix has developed the industry’s most advanced power/performance-optimized FPGA acceleration platform,” said Jansher Ashraf, Director of AI Solutions Business Development at Achronix. “The VectorPath 815 card delivers greater than 2,000 tokens per second with 10 ms inter-token latency (LLAMA 3.1-8B Instruct) for unmatched generative AI inferencing performance – enabling customers to accelerate bandwidth-intensive, low-latency applications with a greater than 3x total cost of ownership (TCO) advantage vs. competitive GPU solutions.”

SOURCE: PRNewswire

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