The Practical Guide to eFPGA Integration

By Menta

July 10, 2026

Separating Perception from Reality in Modern ASIC Design

Embedded FPGA technology is increasingly recognized as a strategic enabler for adaptive ASIC and SoC architectures.

Yet many engineering teams still hesitate when evaluating eFPGA integration.

Why?

Because much of the industry's perception of eFPGA is based on experiences with earlier programmable logic architectures, historical implementation challenges or assumptions that no longer reflect the reality of modern standard-cell-based solutions.

At Menta, we regularly encounter engineering teams that initially dismiss eFPGA before discussing their actual requirements.

Not because they don't see the value of adaptability. But because they assume integration will be difficult.

This guide addresses the most common misconceptions and explains what modern eFPGA integration actually looks like.

Myth #1: "eFPGA Is Difficult to Integrate"

This is probably the most common objection.

Many engineers assume that integrating an eFPGA requires dedicated methodologies, custom implementation flows or specialized expertise. For some historical architectures, this concern was justified.

Modern standard-cell-based eFPGA architectures are fundamentally different.

Menta's eFPGA IP is built entirely using standard-cell methodologies and is designed to integrate into conventional ASIC development flows.

Physical implementation, floorplanning, timing closure, verification, DFT and sign-off follow the same engineering principles already used for other complex digital IP blocks.

The objective is simple: eFPGA should fit into the ASIC flow—not force the ASIC flow to adapt to the eFPGA.

Myth #2: "eFPGA Creates Timing Closure Problems"

Every configurable logic architecture introduces design considerations.

However, timing closure challenges are often overestimated because engineers mentally compare modern eFPGA solutions with older programmable architectures.

In practice, successful integration depends primarily on architecture selection, floorplanning strategy and the quality of the IP itself.

At Menta, our architecture has been optimized over multiple generations of silicon-proven implementations specifically to simplify integration within industrial ASIC projects.

The goal is not to create flexibility at any cost. The goal is to create predictable flexibility.

Myth #3: "Software Is Enough"

Software provides tremendous flexibility.

But software alone cannot always deliver the bandwidth, latency, power efficiency or deterministic behavior required by modern systems.

This is particularly true for:

• AI acceleration
• Cryptographic processing
• Signal processing
• Communication protocols
• Real-time industrial systems

In these applications, eFPGA complements software by providing adaptable hardware acceleration where software becomes inefficient.

The most effective architectures increasingly combine software flexibility with hardware adaptability.

Myth #4: "We'll Just Redesign the ASIC Later"

This is often the most expensive assumption. Redesigning silicon is not simply a technical exercise.

It impacts:

• Development budgets
• Validation effort
• Qualification schedules
• Supply-chain planning
• Time-to-market

The cost of reserving a small amount of adaptable hardware during the initial design phase is often significantly lower than the cost of a future redesign.

This is why many organizations increasingly view eFPGA not as a feature, but as a risk-management strategy.

Why Physical AI Is Changing the Equation

One of the strongest adoption drivers for eFPGA is the emergence of Physical AI.

Unlike cloud AI, Physical AI operates in real-world systems:

• Industrial equipment
• Robotics
• Autonomous platforms
• Aerospace systems
• Intelligent infrastructure

These products often remain deployed for ten years or more.

Their AI algorithms do not. Physical AI combines long-lifecycle products with continuously evolving workloads.

This creates a challenge that fixed-function hardware struggles to address efficiently. The objective is no longer simply programmability. It is deterministic low-power evolution throughout the lifetime of the product.

Why Security Is Becoming an eFPGA Use Case

Security requirements evolve continuously. Post-quantum cryptography is a perfect example.

Organizations are currently implementing Root of Trust architectures based on emerging standards and NIST-selected algorithms.

Yet very few teams are willing to guarantee that today's cryptographic implementation will remain optimal ten years from now.

Attack methods evolve. Standards evolve. Regulations evolve. Hardware security must evolve as well.

Adaptable hardware provides an additional layer of resilience against an uncertain future.

From FPGA to ASIC: Where eFPGA Fits

Traditional FPGAs remain an outstanding solution for prototyping, proof-of-concept development, low-volume production and applications requiring large programmable logic resources.

As products mature, many designs transition toward custom ASICs or SoCs to meet more demanding requirements for power efficiency, integration, cost and form factor.

Embedded FPGA extends hardware programmability into these production silicon designs by integrating configurable logic directly inside the ASIC or SoC.

This enables designers to combine the benefits of custom silicon with post-silicon adaptability, including:

• ASIC-level power efficiency
• Reduced system complexity
• Lower latency
• Tighter system integration
• Long-term hardware adaptability

Rather than replacing FPGAs, embedded FPGA complements them by preserving hardware flexibility when designs move from programmable platforms to production silicon.

The Menta Approach

Menta was founded on a simple principle: Design eFPGA technology for ASIC engineers.

Our 100% standard-cell architecture enables deployment across foundries and technology nodes while remaining compatible with conventional ASIC methodologies.

Combined with the Origami RTL-to-bitstream environment, Menta enables engineering teams to move from concept to deployment without introducing unnecessary complexity into their existing flows.

The result is an eFPGA solution designed not only for adaptability, but also for industrial reality.

Explore Menta IP:

• eFPGA Soft IP
• AXI to UCIe FDI Interface IP

Final Thought

The semiconductor industry spent the last twenty years optimizing silicon.

The next twenty years will increasingly be about keeping silicon relevant. The question is no longer whether systems will need to evolve. The question is whether designers choose to plan for that evolution before or after deployment.

The future belongs to silicon that remains relevant throughout its entire lifetime.