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Neuromorphic
Development Kit

The Innatera Pulsar EVK — ready-to-use development board. The fastest way to start building with real neuromorphic silicon. No deep hardware expertise required.

📱 WhatsApp Enquiry
No purchase checkout — our team connects with you to understand your exact requirement before raising an invoice.
What You Get

What's in the kit.

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Pulsar Development Board
Ready-to-flash EVK with the Innatera Pulsar neuromorphic microcontroller on board
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Cables & Connectors
USB cable for power and programming, sensor connector cables, all required for immediate use
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Talamo SDK Access
Full access to Innatera's Talamo SDK — maps PyTorch/TensorFlow models directly to Pulsar hardware
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Getting Started Guide
Step-by-step setup documentation, example projects, and reference firmware to flash immediately
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Technical Support
Access to VLSI EXPERT's technical team for setup assistance and debugging during the trial period
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Session Access (on request)
Optional onboarding session with our neuromorphic specialists — demo, Q&A and use-case discussion
Technical Specifications

Pulsar chip — full specs.

ChipInnatera Pulsar Neuromorphic Microcontroller
ArchitectureHybrid analog-digital (12 digital SNN cores + 4 analog SNN cores)
CPURISC-V (control logic and interface)
AcceleratorsCNN accelerator (32-bit MAC) + FFT accelerator for DSP
Latency vs conventional AIUp to 100× lower
Energy vs conventional AIUp to 500× lower
Process nodeTSMC 28nm
SDKTalamo (PyTorch / TensorFlow compatible)
Supported model typesSNN, CNN, ANN→SNN conversion
Sensor interfacesIMU, Audio, Radar (event-based)
Target applicationsWearables, IoT, industrial sensing, smart home, healthcare AI
Who It's For

How each audience uses the kit.

Workshop & Training
Used in our 1-day and 2-day hands-on workshops. You get the kit for the full session, work through structured lab exercises, and complete a real neuromorphic inference task on actual hardware by the end.
5-Day Intensive Program
For B.Tech and M.Tech students: 5 full days, 6 hours each. Day 1: Edge AI foundations. Days 2–3: SNN theory and Innatera chip architecture. Days 4–5: Talamo SDK, model training, and end-to-end hardware deployment.
Final Year Projects
Use the EVK as the hardware platform for your final year or research project. Real chip, real data, real results — something most final year project submissions have never had.
Certification Track
Completing the structured program with the EVK leads to a certificate from VLSI EXPERT — an industry-recognised credential demonstrating hands-on neuromorphic chip experience.
Product Prototyping
Evaluate whether Pulsar fits your product's power and latency requirements before committing to a custom board. Run your own models, measure energy consumption, assess fit for your use case.
Proof of Concept
Build a working PoC on the EVK before deciding whether to move to the Pulsar IC for your own board. Compress months of architecture evaluation into weeks of hands-on testing.
Expert Support Pathway
The EVK is the starting point for our 4-level support program: Demo → Hands-On → Expert Sessions → Consultancy. From seeing it work to having us help fine-tune a model on your own data.
Path to IC Integration
Once your prototype validates the technology, move to the Pulsar IC for your own board design. We support the transition with technical guidance and access to Innatera's design resources.
R&D Experiments
Tier-1 institutions running neuromorphic research can use the EVK to design and validate novel SNN architectures on real hardware — not just simulations.
Certified Campus Program
VLSI EXPERT delivers structured sessions at your campus. EVKs are distributed to students. Your institution co-certifies the program — a formal collaboration with an industry partner.
Neuromorphic Lab Foundation
The EVK is the building block for a complete neuromorphic hardware lab. Multi-unit bundles (see Institutional Lab Bundle) allow you to set up a dedicated neuromorphic computing lab — the first of its kind at most institutions in India.
Raise a Query

Interested in the Neuromorphic Dev Kit?

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