AIM FUTURE
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About
AIM FUTURE specializes in providing world-class AI processors and software platforms designed for the Edge AI market. The company offers the NeuroMosAIc (NMP) processor family, which includes scalable Neural Processing Units (NPUs) that provide varying levels of performance for different hardware requirements. Their primary mission is to empower manufacturers in the IoT, consumer electronics, and automotive industries by delivering high-efficiency hardware IP and system integration services that allow AI models to run locally on devices rather than relying on cloud computing. The core of their product lineup is the NeuroMosAIc Processor Family, ranging from the entry-level NMP350 to the high-performance NMP750. These processors support various CPU architectures, including RISC-V and ARM Cortex-M/R/A, and offer computational power ranging from 1 TOPS to 16 TOPS. To complement the hardware, the NeuroMosAIc Studio SDK provides an intuitive workflow to convert, map, compile, and simulate AI models. This software environment is critical for developers looking to maximize hardware utilization and profile their models to meet specific application objectives before deployment. AIM FUTURE is particularly well-suited for semiconductor companies and hardware manufacturers who need to integrate specialized AI acceleration into their System-on-Chip (SoC) designs. Whether building smart home devices that require low-power inference or automotive systems that need high-throughput processing, the scalability of the NMP family allows for a tailored approach. The company's business model centers on NPU IP licensing and AI algorithm optimization, making them a strategic partner for businesses looking to build custom silicon or optimized edge devices. What sets AIM FUTURE apart is its leadership's extensive background in semiconductor design at industry giants like LG, Samsung, Intel, and Cadence. This deep technical expertise is reflected in their hardware's flexibility, such as the support for multiple local memory configurations and high-speed AXI4 bus interfaces. Furthermore, their comprehensive ecosystem of partners—including TSMC, Samsung, and ARM—ensures that their technology is compatible with leading fabrication and design standards, providing a reliable path from development to mass production.
Pros & Cons
Offers a scalable processor family ranging from 1 to 16 TOPS of performance.
Supports flexible CPU integration including both RISC-V and ARM architectures.
Includes a dedicated SDK for model profiling and optimization before deployment.
Leadership team has extensive experience from companies like Intel, Samsung, and LG Electronics.
Strong partnership network with industry leaders like TSMC, ARM, and Samsung.
Requires specialized hardware engineering knowledge for implementation and integration.
Information on specific licensing costs is not publicly available without inquiry.
The toolset is a B2B IP solution, not intended for individual software developers or end-users.
Use Cases
IoT device manufacturers can integrate NMP350 cores to enable local voice recognition and sensor data processing without cloud latency.
Automotive system designers can use the NMP750's 16 TOPS capacity to power advanced driver-assistance systems (ADAS).
Consumer electronics brands can optimize energy efficiency in smart cameras by using the NeuroMosAIc Studio to profile AI models.
SoC developers can leverage the AXI4 bus support to quickly integrate NPU IP into existing chip designs.
AI algorithm researchers can utilize the Studio SDK to simulate how their custom models will perform on specialized NPU hardware.
Platform
Task
Features
• neuromosaic studio sdk
• axi4 bus interface support
• ai profiling tools
• model conversion & mapping
• risc-v & arm cpu support
• neuromosaic nmp750 (16 tops)
• neuromosaic nmp550 (6 tops)
• neuromosaic nmp350 (1 tops)
FAQs
What is the maximum performance of AIM FUTURE's processors?
The high-end NeuroMosAIc NMP750 processor offers performance up to 16 TOPS (Tera Operations Per Second). It is designed for demanding applications such as automotive and advanced consumer electronics.
Which CPU architectures do these NPUs support?
AIM FUTURE's processors are highly flexible and support both RISC-V and ARM Cortex-M, R, or A-series 32-bit CPUs. This allows for compatibility with a wide range of existing hardware ecosystems.
What is the role of the NeuroMosAIc Studio?
NeuroMosAIc Studio is an SDK that enables users to convert, map, compile, simulate, and profile AI model code. It provides an intuitive series of steps to maximize hardware utilization and optimize models for specific application goals.
What industries does AIM FUTURE target?
The company primarily targets the IoT, consumer electronics, and automotive markets. They provide dedicated hardware and software solutions to enable Edge AI across these sectors.
Does AIM FUTURE provide system integration services?
Yes, in addition to hardware IP licensing, the company offers AI system integration services. This helps customers implement AI accelerators and optimized algorithms into their specific hardware designs.
Pricing Plans
Custom Licensing
Unknown Price• NPU IP Licensing
• NeuroMosAIc Studio SDK access
• System integration services
• AI algorithm development
• Optimization services
• Technical support
Job Opportunities
AI chip design, FPGA verification HW Engineer
Develop high-performance Edge AI applications with scalable NPU processors and a complete SDK for seamless model conversion and optimization in IoT and automotive.
Education Requirements:
Bachelor’s in computer engineering, electronics engineering, or related field.
Experience Requirements:
5+ years hands-on experience with focus on front-end complex RTL Verilog design.
Other Requirements:
Highly motivated and skillful at solving difficult technical problems.
Responsibilities:
RTL Design and verification
FPGA prototyping, Benchmark using EDA tool
Chip integration, simulation, synthesis, power analysis
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AI SDK development SW Engineer
Develop high-performance Edge AI applications with scalable NPU processors and a complete SDK for seamless model conversion and optimization in IoT and automotive.
Education Requirements:
Master’s Degree or Ph.D. in computer science or equivalent field.
Master’s Degree or Ph.D. in artificial intelligence, machine learning, computer vision, image processing, natural language processing, signal processing, computer graphics, or equivalent field.
Bachelor’s Degree
Experience Requirements:
Knowledge and hands-on experience with high level programming languages, such as C/C++, Python.
Knowledge and hands-on experience with ML-based image object classification, object detection, and NLP.
Responsibilities:
Design and develop SDK for a proprietary NeuroMorphic Processor in the AI/ML field.
Analyze, troubleshoot, design, and develop tests and test-automation suites.
Perform quantitative analysis on the performance of the developed solutions.
Provide ongoing maintenance, support, and enhancements in existing software.
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Ratings & Reviews
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