Tag: Terafab

Elon Musk gets FTC greenlight to buy Mesh Optical for AI
The Light Race: How Elon Musk is Securing the Future of AI Infrastructure
In the high-stakes world of artificial intelligence and massive data centers, bottlenecks are defining the pace of progress. Now, a monumental shift in infrastructure is underway, driven by the race to connect processors faster than they can compute. This critical intersection has brought the focus squarely on optical networking—a technology poised to unlock the next generation of AI capacity, and it is precisely this area that Elon Musk is making a strategic play in.
Musk recently secured regulatory approval from the Federal Trade Commission (FTC) to acquire Mesh Optical Technologies, an innovative startup developing light-based networking hardware essential for modern data centers. While the deal is still being finalized, this government green light signals that the regulatory hurdles have been cleared, positioning Musk to own a piece of the critical technology underpinning future AI infrastructure.
Why is this acquisition so significant? The problem lies in the physical limits of current technology. As AI clusters grow exponentially, training and running large models require processors to exchange enormous volumes of data at lightning speed. This demand has created what the industry calls the “I/O wall,” where the speed of computation outpaces the bandwidth available to move information between chips.
Currently, most AI clusters rely on traditional copper interconnects. However, as signaling speeds climb toward 200 gigabits per second (Gbps), copper faces serious physical limitations regarding signal attenuation and crosstalk. It simply cannot scale efficiently enough to handle the massive data flow needed in cutting-edge AI environments.
The solution, therefore, lies in harnessing light. Optical networking uses light transmission over fiber to move data, offering exponentially greater bandwidth and significantly reduced power consumption compared to electrical copper connections. This shift brings the connectivity technology closer to the processor, making it indispensable for scaling massive AI clusters.
Optical interconnects are rapidly transforming from a supporting technology into one of the most strategically important markets in AI infrastructure. Companies are racing to develop faster optical transceivers and integrate light directly onto the silicon chip through technologies like co-packaged optics, positioning light as the mandatory pathway for next-generation data centers.
Mesh Optical Technologies is at the forefront of this revolution. They specialize in developing high-speed optical interconnect hardware. Their flagship product, the Alpha C1 module, supports demanding data rates of 800G and 1.6T, while reportedly consuming less power than competing solutions. By using advanced flip-chip die-bonding, Mesh is making optical engines repeatable at the massive scale required by AI clusters.
This technology directly addresses the immense ambition behind Musk’s infrastructure plans. Whether it is powering his Colossus supercomputer, manufacturing chips through his Terafab facility, or building massive space-based data centers like Gigasat, the ability to seamlessly connect computing power across vast distances is non-negotiable.
The founders of Mesh bring a unique edge to this space, having previously worked on the laser-based inter-satellite links that connect the Starlink constellation. This background provides them with an innate understanding of ultra-high-speed, long-distance optical communication necessary for orbital computing platforms.
As hyperscalers and tech giants recognize the bottleneck, investment is flowing heavily into this new domain. Nvidia has committed billions to photonics firms, and major players are forming alliances, such as the Optical Compute Interconnect (OCI) Multi-Source Agreement group, to accelerate the global transition from copper to light. By acquiring Mesh, Musk is not just buying hardware; he is securing the complete stack of essential infrastructure required to power the future of AI.
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Credit: Tom’s Hardware
13/07/2026
Jim Keller’s startup is building a factory to mass-produce small semiconductor fabs —Atomic Semi rebrands as ‘Fab2’ underlining intended role as a ‘fab fab’
The future of silicon manufacturing isn’t about gargantuan factories; it’s about distributed innovation, and a startup named Fab2 is leading the charge by reimagining how microchips are made. Founded by chip architect Jim Keller and DIY fabrication pioneer Sam Zeloof, this company has successfully rebranded from Atomic Semi to capitalize on its revolutionary concept: the “fab fab“—a system designed to mass-produce small semiconductor fabrication facilities and all the complex tools contained within them.
Fab2 isn’t just a design firm; they are building the entire ecosystem. The company designs and engineers every component necessary for a chip factory in-house, from precision pumps and valves to advanced lithography systems and vacuum chambers. They assemble these components into sophisticated machines, which then form complete fabs, aiming for mass production of these specialized manufacturing units.
This approach shatters the traditional model of semiconductor production, which typically involves moving 300mm wafers through massive production lines. Instead, Fab2 targets small, software-defined fabs capable of prototyping chips far smaller than a wafer in mere hours. This shift is rooted in Sam Zeloof’s early pioneering work, where he demonstrated the viability of fabricating lithographic chips down to roughly 300nm features in his parents’ garage long before co-founding the company with Keller.
The core challenge in this high-speed, small-scale manufacturing model lies in throughput. While the method utilizes electron-beam lithography—which writes patterns directly rather than projecting them through a mask—it inherently makes the process slower than some massive industrial techniques like EUV scanning. This trade-off means Fab2 excels in prototyping and low-volume runs, positioning them perfectly for innovation rather than high-volume commercial foundry production.
To realize this vision, Fab2 has established a dynamic operational footprint spanning three sites: an expansive 120,000 square foot facility in Austin serves as the hub for research and production; a 30,000 square foot site in Lockhart houses the actual “fab fab“; and the original 25,000 square foot “garage fab” remains in San Francisco.
Backed by significant capital and visionary investors—including Naval Ravikant, Nat Friedman, and Fred Ehrsam—the startup secured a reported $15 million seed round in 2023, led by the OpenAI Startup Fund. The company has attracted talent, currently employing around 84 people as of May 2026, demonstrating the appetite for this novel approach to chipmaking.
Fab2’s model offers a compelling alternative to industry behemoths like Tesla and SpaceX, which are pursuing massive, centralized megafabs such as Terafab. While one aims for a single Austin facility targeting a terawatt of compute, Fab2 champions a decentralized solution. They represent two competing blueprints for expanding U.S. chipmaking capacity: consolidate production into giant campuses, or distribute it across many small, replicable, and agile fabrication units.
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Credit: Tom’s Hardware
07/07/2026
Tesla hires 17-year Intel veteran responsible for billion-dollar fab startups — Gary Jiang likely chosen to oversee fab efforts for Terafab’s licensing of 14A
The Silicon Shift: How an Intel Veteran is Driving Tesla’s Semiconductor Revolution
In the relentless race toward artificial intelligence and deep space exploration, the battleground has shifted firmly into the realm of semiconductors. And at the epicenter of this transformation, Tesla is making a significant strategic move, not just in vehicle production, but in mastering the very foundations of high-volume chip manufacturing. This ambition is taking shape through a highly anticipated leadership appointment that signals Tesla’s commitment to building an experienced semiconductor organization from the ground up.
The key to this drive lies with Gary Jiang, an executive who brings decades of experience from one of the world’s most demanding technology powerhouses. Jiang joined Tesla in June 2026, bringing with him a deep understanding of how complex manufacturing facilities are built, equipped, and brought to life. His pedigree is rooted firmly in Intel, where he spent over seventeen years navigating the complexities of advanced fabrication.
During his tenure at Intel, Jiang was instrumental in some of the most critical transitions in semiconductor history. He oversaw the massive effort to transfer Intel’s leading-edge 18A technology process from their development fab in Oregon to high-volume manufacturing facilities in Arizona. This involved managing everything from factory construction and the installation of sophisticated equipment to ensuring product certification.
Before joining Tesla, Jiang managed technician teams responsible for optimizing yield and output across cutting-edge nodes, including 22nm, 14nm, and 10nm-class processes at Intel’s Ocotillo campus. This experience is not merely academic; it is the practical knowledge of turning blueprints into functional, high-efficiency production lines.
This deep manufacturing expertise aligns perfectly with Tesla‘s audacious vision for Terafab—the joint initiative between Tesla, SpaceX, and xAI aimed at vertical integration in chip design. While the overarching leadership of Terafab remains a complex endeavor requiring broad coordination, Jiang’s specific skills make him an invaluable asset. He possesses the precise knowledge needed to transform newly constructed cleanroom shells into production-ready semiconductor manufacturing facilities.
The ultimate goal is not just building chips, but mastering the process itself. While Tesla and SpaceX are targeting full high-volume chip manufacturing through licensing agreements, the immediate focus involves establishing a robust development base. This vision is supported by Tesla‘s plan to construct a massive $3 billion semiconductor R&D center at its Texas campus, housing pilot lines designed to validate new technologies before commercial scaling.
This move highlights how the cutting edge of technological progress relies not only on brilliant scientific theory but also on exceptional operational leadership. By hiring veterans like Gary Jiang, Tesla is weaving together industry experience with revolutionary ambition, setting a powerful precedent for how future technology will be built and scaled.
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Credit: Tom’s Hardware
03/07/2026