Variscite and MemryX Partner to Enhance Edge AI Solutions
Variscite and MemryX Inc. have established a collaboration to enhance AI/ML edge computing by combining scalable AI acceleration with proven System on Module solutions. This integration addresses the needs of industries requiring real-time processing, including industrial systems, healthcare devices, and vision applications.
MemryX’s integrated hardware and complementary software allow developers to build edge AI applications with enhanced performance characteristics like low latency processing and efficient power consumption while accelerating development cycles and time to market.
The collaboration launched with a plug-and-play integration of the MemryX platform with Variscite’s i.MX 8M Plus SoMs, leveraging their advanced vision and multimedia features, such as dual camera interfaces, integrated Image Signal Processor (ISP), and H.265/H.264 video encoding and 1080p60 decoding. This provides an ideal combined solution for developing vision-based applications like real-time object detection and video analytics. The collaboration will also extend across Variscite’s extensive SoM portfolio, including modules based on the i.MX 9 and i.MX 8 series.
“Partnering with Variscite allows us to bring our high-performance AI accelerators directly to the edge, empowering developers to build smarter and more efficient devices,” said Keith Kressin, CEO of MemryX.
“Integrating MemryX’s AI accelerators into our SoMs enhances our AI/ML solutions, providing customers with powerful plug and play scalable AI capabilities,” added Ofer Austerlitz, VP Business Development and Sales at Variscite.
Contact us to discuss how our AI solutions can optimize your edge computing applications.
The i.MX 8M Plus main features:
- Based on NXP i.MX 8M Plus:
- 8GHz Quad-core Cortex™-A53
- Real-time 800MHz Cortex™-M7 co-processor
- AI/ML NPU acceleration 2.3 TOPS
- HDMI 2.0 up to 4K, 2x LVDS, DSI
- HD video decode/ encode, HQ audio, 2D/3D GPU
- Up to 8GB LPDDR4, 128GB eMMC
- 2x GbE, 2x USB 3.0, PCI-E
- Dual camera inputs
- Certified WiFi: dual-band 802.11ax/ac/a/b/g/n with optional 802.15.4
- Bluetooth/BLE 5.4
- -40 to 85°C industrial temperature range
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As AI-driven demand accelerated through 2025, memory chip shortages developed as semiconductor manufacturers shifted capacity to large-volume buyers, leaving many sectors, including medical, industrial, edge/IoT, and robotics poorly served. Climbing prices and lengthening lead times, exacerbated by knock-on effects across other SoM components, have created two clear pressure points. SoM vendors relying on outsourced manufacturing have limited flexibility when availability drops, leaving customers facing the same delays. Separately, product developers who chose chip-down architectures over SoM-based designs must procure components on their own. Those buying in smaller quantities are routinely pushed down supplier priority lists, and in many cases cannot get supply at all.
