Unpacking the Strategy Behind Synaptics Astra SL2610 Launch
How is Synaptics shaping the future of Edge AI In this conversation, Vikram Gupta, SVP & GM, IoT Processors and Chief ProductΒ ...
Senior Vice President, GM of IoT Processors & Chief Product Officer, Synaptics
Search every verified Vikram Gupta interview, podcast appearance, and on-the-record quote β each transcript cross-checked by AI and human review to confirm speaker identity. Vikram Gupta, Senior Vice President, GM of IoT Processors and Chief Product Officer at Synaptics, has been active in discussing the company's edge AI strategy throughout 2024 and 2025. In November 2025, he announced the launch of the Astra SL2610 series of Linux processors, which he described as featuring a dual-core Cortex-A class SoC with a 3D GPU and an NPU developed in collaboration with Google. Gupta stated that the company decided to develop its own AI hardware accelerator IP rather than licensing off-the-shelf IP, and that it is incorporating Google's Coral NPU into all future Synaptics processors. He said the company plans to open-source its AI hardware and software to enable ecosystem development. At Embedded World 2025, Gupta introduced the Astra SR100 series of AI-enabled microcontrollers, describing them as a new line of MCUs designed with a "geared" approach to power consumption, with different levels of intelligence and power usage. He stated that the SR100 series consumes about 100 milliwatts in its highest performance state)Skip Gupta has also spoken about the broader industry trends driving edge AI adoption, citing latency, privacy, and energy consumption as key factors. He has emphasized the importance of security in IoT devices, noting that the SL2600 series includes PSA Level 3 security. In a panel discussion at Synaptics Tech Day 2025, Gupta said that "edge AI is the new frontier" and that the company's SL2610 family of products represents rapid progress in making AI work efficiently at the edge. He has also discussed the company's approach to making AI "frictionless" for customers by offering models, helping with model optimization, and providing a framework for customers to make their own modifications.
“We wanted to be in control of the AI source that goes into the processes. Instead of picking IP off the shelf from an IP vendor, we decided to develop our own AI hardware accelerator IP, collaborating with Google to incorporate their coral NPU into our processors.”
“Security is something that we incorporate in all of our products, and every IoT product should consider security as a fundamental aspect. Our SL2600 series has PSA level 3 security, which is quite robust for the types of applications it will serve.”
“The edge is evolving rapidly, and we see a natural osmosis of AI models moving from the cloud to the very far edge, driven by latency, privacy, and energy consumption considerations.”
“Our approach is to open source our AI hardware and software, enabling the community to innovate and democratize the edge AI ecosystem. We believe this is the fastest way to accelerate adoption and innovation.”
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