SOPHGO AI Computing
SOPHGO CV180 Series Endpoint AI Vision Processor
The SOPHGO CV180 family addresses small, cost-sensitive endpoint products that need local vision processing without the power and board complexity of an edge server. It suits designs where detection, recognition or sensor intelligence must remain inside the device.
Stock, price and lead time: Contact GalaxyIC for confirmation.
CV180 Series at a glance
The CV180 Series belongs to SOPHGO's micro-intelligence endpoint family portfolio. Engineers evaluating this device should connect headline compute figures with the complete workload: model precision, memory footprint, video pipelines, host interfaces, latency, concurrency, thermal limits and software support. GalaxyIC uses the exact model identity in every inquiry so that the requested product is not confused with a related member of the same family.
- AI performance class
- Approximately 0.2 TOPS class
- Primary role
- Low-power endpoint vision and AIoT
- Workload
- Compact computer vision and embedded intelligence
- Brand
- SOPHGO
- Supply status
- Contact for confirmation
Specifications shown here summarize the supplied SOPHGO company material. Final design decisions must use the current official data sheet, hardware manual and software release notes for the exact orderable device.
Target applications
SOPHGO CV180 Series may be evaluated for smart doorbells and access control, consumer cameras, compact scanners and recognition devices, low-power AIoT nodes, embedded visual sensing. A suitable design-in depends on more than nominal AI performance. Camera count, resolution, codec load, preprocessing, model architecture, quantization, batch size, context length and peripheral traffic can materially change real throughput.
- Smart Doorbells And Access Control
- Consumer Cameras
- Compact Scanners And Recognition Devices
- Low-Power Aiot Nodes
- Embedded Visual Sensing
For international projects, GalaxyIC recommends documenting the end application and the required validation stage. An evaluation board request, prototype build, pilot quantity and production purchase have different documentation, traceability and delivery requirements.
Engineering and integration checklist
- Confirm the exact CV180 suffix because interfaces, package and multimedia capability can differ.
- Validate camera sensor, ISP, codec, memory and operating-system requirements together.
- Use the exact orderable part number in the RFQ rather than the family name whenever available.
Before requesting volume pricing, confirm the exact part or platform, package, operating temperature, memory configuration, board form factor and supported software version. For AI workloads, include the model name, precision, input shape, expected latency or throughput, and number of concurrent streams or users. For RISC-V server projects, include the required operating system, compiler, firmware, networking, storage and expansion environment.
A proof of concept should test the full pipeline rather than an isolated TOPS figure. This includes data ingestion, decoding, preprocessing, inference, post-processing, storage and network output. It also reduces the risk of selecting a device whose theoretical compute is suitable but whose memory, interface or toolchain does not fit the deployed system.
How GalaxyIC handles a SOPHGO CV180 Series RFQ
GalaxyIC is an independent electronic-component sourcing and RFQ service. We do not present this page as the official SOPHGO website and do not claim an authorized-distributor relationship. After receiving your inquiry, the sales team reconfirms the exact model identity, requested quantity, material condition, date or lot requirements when applicable, available documentation, lead time and commercial terms.
To receive a useful quotation, send the destination country, target quantity, project schedule and whether the request is for chips, modules, evaluation hardware, accelerator cards or complete systems. If alternatives are acceptable, state the performance, interface and software requirements that cannot change. No substitute should be approved from a marketing description alone.
SOPHGO ecosystem and platform context
SOPHGO develops AI processors, endpoint and edge vision devices, RISC-V server processors, accelerator modules, cards and server platforms. Products such as AS711 and AS713 illustrate how processor, memory, host CPU, storage, interconnect, thermal design and inference software come together as a deployable AI system. The right purchasing level therefore depends on whether the customer is building custom hardware or needs an integrated platform.
Software compatibility is a sourcing requirement, not an afterthought. Ask for the current compiler, runtime, framework support, model-conversion workflow and reference software that correspond to the selected hardware. Toolchain version, operator coverage and quantization accuracy can affect project schedules as much as physical lead time.
Frequently asked questions
Can GalaxyIC confirm CV180 Series inventory immediately?
Inventory is not inferred from this SEO page. GalaxyIC confirms availability, quantity, condition, price and lead time after receiving an RFQ.
What should be included in the RFQ?
Include the exact model or suffix, quantity, application, destination, requested delivery date, package or temperature-grade requirements, and whether technical documentation or traceability is required.
Can CV180 Series replace another AI processor?
Potential alternatives must be compared at system level. Compute precision, memory, video, I/O, power, form factor and software compatibility all require engineering review and written approval.