Intel EMIB-T Advanced Packaging Could Become a Key Breakthrough for AI and HPC Chips
Intel is pushing deeper into the future of chip manufacturing with EMIB-T, an advanced packaging technology designed to help the industry overcome growing limits in performance, bandwidth, package size, and power efficiency. As artificial intelligence, high-performance computing, and next-generation client processors demand more compute power than ever, traditional chip packaging methods are becoming harder to scale.
At ECTC26, Intel presented several real-world use cases for EMIB-T, showing how the technology can connect multiple chiplets, memory stacks, and I/O dies inside a single advanced package. The demonstration highlights why advanced packaging is becoming one of the most important battlegrounds in semiconductor manufacturing.
The core idea behind Intel’s EMIB technology is straightforward: connect multiple chiplets using a compact, high-speed bridge that delivers strong bandwidth while keeping cost and power consumption under control. Instead of relying on one massive monolithic die, chipmakers can build larger systems by combining smaller, specialized chiplets in one package.
EMIB-T takes that concept further by adding through-silicon vias, or TSVs. This allows the technology to combine the dense interconnect benefits of 2.5D packaging with the vertical scaling advantages usually associated with more complex 3D architectures. In simple terms, EMIB-T is designed to help chip designers pack more compute, memory, and connectivity into a single package without sacrificing efficiency.
Intel says EMIB-T can scale the first-layer interconnect bump pitch down to 25 micrometers while supporting package form factors larger than 120 mm by 120 mm. That scale could allow more than nine reticles worth of compute and memory silicon content to fit into one package. For AI accelerators and HPC processors, that kind of density is critical.
The technology is also being positioned for future high-bandwidth memory standards. Intel demonstrated that EMIB-T can support reliable high-speed signaling beyond 12 Gb/s for HBM4E, a major requirement for upcoming AI and data center chips. As AI models grow larger and more memory-hungry, the ability to place high-bandwidth memory close to compute dies becomes a major performance advantage.
One of the most interesting demonstrations involved 3D integration of an SRAM chiplet inside a fan-out embedded bridge platform. This approach showed how memory functions can be placed directly within advanced packages to improve bandwidth and reduce energy use.
In testing, the SRAM chiplet achieved 265 GB/s/mm² of bandwidth at less than 0.24 pJ/bit in balanced read and write workloads. The embedded memory die was connected to a top system-on-chip die using a dense 25-micrometer microbump interconnect matrix. Intel’s analysis showed that die-to-die connectivity accounted for less than 15% of total power, while on-die data movement made up about 30%.
At lower frequency, energy consumption dropped further to 0.15 pJ/bit while still delivering 166 GB/s/mm² of bandwidth. These results suggest that embedded memory chiplets could become an important design option for future processors that need high bandwidth and low energy consumption.
Another major focus was HBM4E integration. Intel described EMIB-T as a scalable packaging solution built to meet demanding signal integrity and power delivery requirements for next-generation memory interfaces. The architecture includes advanced routing, multiple metal layers, and integrated power delivery features to support ultra-large die complexes.
This matters because AI accelerators are increasingly limited not just by compute power, but by how quickly data can move between compute cores and memory. If EMIB-T can reliably support 12+ Gb/s HBM4E operation, it could give chip designers more flexibility when building large AI and HPC processors.
Intel also discussed package architectures for hyper-large form factors aimed at AI and HPC systems. The rapid rise of AI workloads has created demand for far more silicon content per package, including compute dies, HBM stacks, networking tiles, and other I/O components.
With EMIB-T, Intel sees a path toward packages as large as 240 mm by 240 mm. These hyper-large packages could integrate application-specific processors, high-bandwidth memory, and advanced I/O in configurations designed for maximum performance. However, building packages at this scale introduces serious engineering challenges, including power delivery, signal integrity, thermal control, mechanical stress, and manufacturing yield.
Intel’s approach includes on-package power noise reduction, voltage regulator options, redundancy planning for better yield, and thermal design strategies to reduce warpage and reliability risks. These details are especially important for AI hardware, where packages are becoming larger, hotter, and more complex.
The company also addressed one of the less glamorous but highly important parts of advanced packaging: encapsulation. As packages grow larger and include more dies, it becomes harder to protect the entire structure without defects. Problems such as voiding, long material flow distance, keep-out zones, and reliability concerns become more difficult to manage.
For ultra-large die complexes, encapsulation must be carefully optimized across materials, equipment, and process development. Intel says innovative formulation and manufacturing techniques can help achieve void-free encapsulation, even as package complexity increases.
The broader message is clear: advanced packaging is no longer just a supporting technology. It is becoming central to semiconductor progress. As chipmakers hit limits with traditional scaling, performance gains increasingly depend on how well compute, memory, and I/O can be integrated at the package level.
EMIB-T could become one of Intel’s most important technologies for the AI and HPC era. By supporting dense chiplet integration, high-speed HBM4E connectivity, larger package sizes, and efficient memory integration, it gives designers more freedom to build powerful systems in a single package.
If Intel can scale EMIB-T successfully in production, the technology could play a major role in shaping the next generation of AI accelerators, data center processors, and high-performance computing platforms.Intel EMIB-M and EMIB-T Packaging: The Chiplet Bridge Technology Powering Larger AI Processors
Intel’s advanced packaging roadmap is becoming increasingly important as the semiconductor industry pushes beyond the limits of traditional monolithic chip design. With artificial intelligence, high-performance computing, and memory-heavy workloads demanding more bandwidth and larger silicon footprints, chipmakers are turning to multi-die packaging technologies to scale performance efficiently.
One of Intel’s key solutions is EMIB, short for Embedded Multi-die Interconnect Bridge. This 2.5D packaging technology allows multiple dies, including logic chiplets and high-bandwidth memory, to communicate through a small silicon bridge embedded inside the package substrate. Instead of using a large silicon interposer across the entire package, EMIB connects dies only where high-speed communication is needed, helping reduce complexity, improve efficiency, and manage cost.
Intel currently has two major versions of this technology: EMIB-M and EMIB-T. Both are designed to enable powerful multi-die processors, but they take different approaches to power delivery, density, and scaling.
EMIB-M is focused on efficient chiplet connectivity. It uses MIM capacitors, or Metal-Insulator-Metal capacitors, inside the silicon bridge to improve power delivery and signal integrity. These capacitors help reduce noise and maintain stable operation across connected chiplets. While MIM capacitors can be slightly more expensive than some alternatives, they offer better stability and lower leakage, which is valuable in advanced packaging designs.
In an EMIB-M package, chiplets are connected through the embedded bridge, creating a high-bandwidth pathway between dies. Power is routed around the bridge, allowing the chiplets to communicate efficiently while keeping the overall package structure relatively streamlined. This makes EMIB-M suitable for complex logic-to-logic connections as well as designs that combine logic dies with high-bandwidth memory.
EMIB-T takes the technology further by adding TSVs, or through-silicon vias, into the bridge. This is a major difference because it allows power to be routed directly through the EMIB bridge instead of around it. By doing so, EMIB-T can support higher interconnect density and more advanced package layouts.
This makes EMIB-T especially important for next-generation AI accelerators and large-scale data center processors. These chips require enormous memory bandwidth, strong power integrity, and the ability to connect many chiplets inside a single package. By improving power routing and scaling density, EMIB-T is built to address the needs of high-performance AI hardware.
Intel’s current EMIB-T scaling targets are ambitious. The technology can support packages larger than eight times the reticle size in a 120 mm by 120 mm package. Such a package could include 12 HBM stacks, four dense chiplets, and more than 20 EMIB-T bridge connections.
Looking ahead to 2028, Intel expects EMIB-T to scale beyond 12 times the reticle size in packages larger than 120 mm by 180 mm. These future designs could support more than 24 HBM dies and over 38 EMIB-T bridges, opening the door to extremely large AI and high-performance computing processors.
This level of scaling is crucial as the industry enters the hyperscaler era, where cloud providers and AI infrastructure companies need chips with massive compute density and memory bandwidth. Traditional single-die processors are increasingly limited by manufacturing constraints, reticle limits, cost, and yield challenges. Multi-die packaging offers a path forward by combining multiple smaller chiplets into one powerful package.
Another advantage of EMIB is its flexibility. The technology is IP-agnostic and process-node agnostic, meaning it can support chiplets built using different architectures, foundry processes, or internal manufacturing nodes. This flexibility is important for companies designing custom processors that combine compute chiplets, memory, I/O, and specialized accelerators in one package.
Intel has also emphasized that EMIB has a simplified assembly flow compared to some larger interposer-based approaches. Because the silicon bridge is embedded only where needed, EMIB can reduce substrate complexity while still delivering high-bandwidth die-to-die communication. The technology has also been in mass production since 2017, giving it a proven manufacturing background.
The broader roadmap also includes multiple packaging case studies, such as designs based on EMIB that scale to five times the reticle area, EMIB-based approaches exceeding ten times the reticle area, and Foveros-based 3D packaging designs exceeding four times the reticle area. These different options give chip designers more flexibility depending on their needs for performance, cost, reliability, throughput, and package architecture.
Foveros, Intel’s 3D stacking technology, complements EMIB by enabling vertical die stacking. While EMIB is focused on high-speed horizontal chiplet connections, Foveros allows dies to be stacked on top of each other. Together, these technologies give Intel a broader packaging toolkit for future processors that may require both 2.5D and 3D integration.
Competition in advanced packaging is also intensifying. Other major semiconductor manufacturers are working on large-scale packaging platforms capable of supporting more HBM stacks and larger multi-die designs. By 2028, some competing solutions are expected to reach roughly 14 times the reticle size with support for up to 20 HBM packages. However, ultra-large packaging approaches can be significantly more expensive, making cost-effective scaling a key battleground.
For Intel, EMIB-T appears to be a major step toward building larger and more capable AI processors. By improving density, enabling direct power routing through the bridge, and supporting a growing number of HBM stacks, EMIB-T is positioned as a critical technology for future data center and AI workloads.
The biggest challenge moving forward will be balancing performance, manufacturing cost, reliability, and supply chain efficiency. As packages grow larger and more complex, ensuring strong yields and stable operation becomes increasingly difficult. Thermal management, signal integrity, and power delivery will also remain major engineering hurdles.
Still, the direction is clear: the future of high-performance processors will depend heavily on advanced packaging. EMIB-M provides an efficient bridge-based solution for today’s multi-die chips, while EMIB-T pushes the technology toward larger, denser, AI-focused designs. Combined with Foveros and other packaging innovations, Intel is preparing for a future where chiplet-based processors become the foundation of next-generation computing.
