Hailo has opened the floodgates for on‑device generative AI with the commercial release of its Hailo‑10H accelerator. Building on the vision-focused Hailo-8, the new chip enables the local execution of large language models, vision-language models, and other generative architectures — eliminating the need for cloud hops.
Latency in under a second and less power than a lightbulb: the new chip bringing speed
At a typical draw of 2.5 W, it delivers first‑token latency under a second and more than 10 tokens per second on 2‑billion‑parameter models. In other words, it can start generating responses almost instantly and keep up with a steady stream of words, all while using less power than a standard lightbulb.
For video, it can spot and track objects in ultra-high-definition video, instantly and accurately, without requiring a bulky cooling system, which is ideal for compact devices like checkout stations or in-car displays.
“With the Hailo‑10H now available for order, we’re taking another major step toward our mission of making AI accessible to all,” said Orr Danon, CEO and co‑founder, Hailo. “This is the first discrete AI processor to bring real generative AI performance to the edge, combining high efficiency, cost‑effectiveness, and a robust software ecosystem.”
That ecosystem is already familiar to more than 10,000 monthly developers, who can port existing Hailo‑8 workloads or leverage the company’s mature toolchain to deploy state-of-the-art GenAI models on edge hardware.
Why it matters for OEMs and MSPs
Early adopters include HP, which is building the HP AI Accelerator M.2 Card around the Hailo‑10H for integration across its POS terminals, workstations, and commercial PCs. For original‑equipment manufacturers, this means a shorter runway from prototype to product, but the ripple effect goes further.
Managed service providers are increasingly asked to craft AI-enabled solutions that respect tight latency budgets and adhere to stricter data sovereignty rules. An accelerator that slides into an M.2 slot and sips power like a sensor, yet handles multimodal GenAI workloads, gives partners a pragmatic path to deploy conversational interfaces, computer‑vision analytics, or anomaly‑detection pipelines entirely on premises. This means no extra rack space, no runaway cloud bills, and fewer privacy headaches.
Low power, high privacy
By processing data locally, directly on the device, the chip keeps sensitive information, such as images, voice inputs, and payment details, from ever having to leave the device. That means fewer surprise fees and a much lower risk of data leaks. It’s also been certified to handle tough conditions (AEC-Q100 Grade 2), so it can be trusted in places where the temperature fluctuates or the internet connection isn’t exactly reliable. That makes it a great fit for the kinds of environments MSPs deal with all the time—think factory floors, retail kiosks, or satellite offices.
Hailo’s latest funding round brought total investment to $564 million, furnishing the runway needed to scale production and expand the developer community. As GenAI fever spreads from the data center to storefronts and street corners, the Hailo‑10H shows that compute, not bandwidth, will be the real constraint. For service providers looking to differentiate themselves, dropping a credit-card-sized accelerator into existing hardware might be the fastest way to add an AI badge, without rewriting the OpEx ledger.
The emergence of GenAI has introduced a new approach to automating and achieving efficiencies. Hitachi Vantara recently outlined strategies for channel partners to effectively harness Generative AI while ensuring data management and security for business success.