📢 𝐉𝐔𝐒𝐓 𝐈𝐍: $Microchip Tech(MCHP.US) Microchip Launches Free VectorBlox 3.0 SDK for FPGA-Based Edge AI

👉 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:

➤ 𝐌𝐢𝐜𝐫𝐨𝐜𝐡𝐢𝐩 launches 𝐕𝐞𝐜𝐭𝐨𝐫𝐁𝐥𝐨𝐱 𝟑.𝟎 AI Accelerator SDK.

➤ SDK is available 𝐟𝐫𝐞𝐞 𝐨𝐟 𝐜𝐡𝐚𝐫𝐠𝐞 to developers.

➤ Designed to simplify 𝐅𝐏𝐆𝐀-𝐛𝐚𝐬𝐞𝐝 AI deployment on PolarFire platforms.

➤ Supports 𝐬𝐩𝐚𝐫𝐬𝐞 neural networks to improve AI inference efficiency.

➤ Compression technology comes from 𝐍𝐞𝐮𝐫𝐨𝐧𝐢𝐱 acquisition.

➤ Enables multiple 𝐀𝐈 workloads on a single low-power FPGA.

➤ Targets 𝐚𝐞𝐫𝐨𝐬𝐩𝐚𝐜𝐞, defense, industrial, and edge AI applications.

➤ Includes 𝐒𝐏𝐍𝐯𝟐 for autonomous spacecraft navigation and docking.

➤ Integrates with 𝐋𝐢𝐛𝐞𝐫𝐨 𝐒𝐨𝐂 Design Suite and CoreVectorBlox IP.

👉 𝐄𝐱𝐩𝐞𝐫𝐭 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭𝐬:

𝐒𝐡𝐚𝐤𝐞𝐞𝐥 𝐏𝐞𝐞𝐫𝐚, Corporate Vice President and GM of Microchip’s FPGA Business Unit:

“As AI models continue to grow in complexity, compression is becoming essential for deploying intelligence at the edge. With VectorBlox 3.0, we’re leveraging sparsity-based model compression from our Neuronix acquisition to reduce compute demands while preserving accuracy.”

𝐕𝐢𝐭𝐨 𝐅𝐨𝐫𝐭𝐮𝐧𝐚𝐭𝐨, SPACEDGE™ Services Line Manager at Planetek Italia:

“Leveraging VectorBlox acceleration on Microchip’s PolarFire SoC enabled us to efficiently deploy advanced onboard AI pipelines for low-latency payload operations in orbit. The platform allowed us to validate real-time Earth Observation processing capabilities including object detection, semantic scene analysis and edge-generated actionable information products on top of the AI-eXpress-1 satellite, deployed in 2025, while providing the radiation resilience and operational reliability required for continuous Low Earth Orbit operations.”

𝐅𝐞𝐝𝐞𝐫𝐢𝐜𝐨 𝐅𝐨𝐧𝐭𝐚𝐧𝐚, Head of Hardware Engineering at AIKO:

"The combination of PolarFire SoC and VectorBlox creates a powerful synergy for deploying AI-powered autonomy solutions directly in orbit. We validated this through the deployment of our clear_CHARLES suite, which provides onboard cloud and ship detection for adaptive and autonomous payload operations on power-efficient platforms, making a further step toward increasingly autonomous, responsive and software-defined space systems."