How to read this page. Each section starts Simple, then goes to a Deep dive: stop wherever you have what you need. The small numbers are sources: click one to open the original document. Where the maker has not published a figure -- a price, a die size, a factory address -- this page says so rather than estimate it.
1.At a glance
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The Groq LPU (Language Processing Unit), also called the GroqChip, is the only chip Groq has shipped under its own name — built purely to run already-trained AI models quickly, not to train them 1. It first reached customers as a PCIe development card around September 2020, fabricated on a 14 nm process 2.
Deep diveThe technical detail
The LPU keeps an entire model in fast on-chip memory (SRAM) rather than fetching it from separate memory chips for every word, which Groq says gives it “memory bandwidth upwards of 80 terabytes/second, while GPU off-chip HBM clocks in at about eight terabytes/second” 1. As of this check, the chip carrying the Groq brand today is still this original 2020-era design — not a newer generation (see Lineage below).
2.Launch and history
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Groq described the chip’s architecture in an academic paper, “Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads,” presented at the ISCA 2020 conference 3. Trade press reported a development kit shipping that September, built on GlobalFoundries’ 14 nm process 2.
Deep diveThe technical detail
Groq built the LPU around a “Tensor Streaming” design, where the compiler — not the chip itself — decides in advance exactly when every calculation happens 3. This same generation underpins the specific systems Groq has documented — the GroqCard accelerator card and the GroqNode/GroqRack configurations used in the Argonne Leadership Computing Facility’s testbed 4 5 — and, as of the check date, Groq has not announced a newer chip generation for its own branded hardware (see Lineage).
3.What’s inside it
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Every calculation is scheduled in advance by Groq’s own compiler rather than decided by the chip while it runs, so a job “executes the same way every time” 1. Chips link directly to each other with “no need for routers or controllers,” letting many act like one long assembly line 1.
Deep diveThe technical detail
Academically, this is a Tensor Streaming Processor: one very large core built from small, deterministic functional units connected by a software-scheduled on-chip network, rather than the many independent cores and hardware schedulers found in a GPU 3.
4.Full spec table
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| Spec | Groq LPU (gen 1) |
|---|
| On-chip memory (SRAM) | 230 MB 4 5 |
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| Memory bandwidth | Up to 80 TB/s 4 |
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| Compute | 750 TOPS (INT8); 188 TFLOPS (FP16) at 900 MHz 5 |
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| Power (card) | 240 W typical, 275 W rated, 375 W maximum 4 |
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| Process node | 14 nm 1 |
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| Die size | About 725 mm², about 28.6 billion transistors, per press reports citing analysts 2 |
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Deep diveThe technical detail
The GroqCard has up to nine chip-to-chip connectors, letting many cards link directly without a separate networking chip 4. Groq’s successor chip, sold today as the NVIDIA Groq 3 LPX (see Lineage), reports 500 MB of SRAM and 150 TB/s of bandwidth — roughly double this chip’s memory and nearly double its bandwidth 6.
5.Where it’s made
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Designed by Groq; press reports name GlobalFoundries as the manufacturer, on a 14 nm process 2. A Groq/Carahsoft press release states “All Groq systems are designed, fabricated, and assembled in North America” 7.
Deep diveThe technical detail
An analyst estimate puts the chip’s wafer cost at “likely less than $6,000,” well below leading-edge chips of the same era 8. Groq’s 2023 announcement of a planned next-generation chip likewise described its “already completely North American-based operations for engineering and manufacturing” 9 — though that next-generation chip did not ship as a Groq product (see Lineage).
6.Which systems use it
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Sold to customers as the GroqCard, a single-chip PCIe accelerator with a published datasheet 4, and deployed in racks as GroqNode and GroqRack systems — for example, in the Argonne Leadership Computing Facility’s AI Testbed 5. It is also the compute behind GroqCloud, Groq’s inference cloud business 10, which prices access per token according to Groq’s own model documentation 11.
Deep diveThe technical detail
An independent analyst estimated that serving one open-weight Mixtral model on GroqCloud took 576 of these chips — 8 racks of 9 servers with 8 chips each — though Groq has not published an official chip count for any specific model 8.
7.Official pricing
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Groq has never published a price for the chip, the GroqCard, or a GroqRack system — neither the GroqCard datasheet nor NVIDIA’s later product page for the licensed successor gives one 4 6. Access is sold only indirectly, through GroqCloud’s per-token cloud pricing (see the Groq brand guide on this site for those figures).
Deep diveThe technical detail
This matches the pattern across Groq’s public materials generally: it publishes cloud API prices but has never listed a hardware price for any of its own systems 4.
9.What came before, what came next
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Came before: nothing — this is Groq’s first chip.
Came after: nothing under Groq’s own name. Groq announced a next-generation 4 nm chip with Samsung in 2023, but it never shipped as a Groq product; the underlying technology was instead licensed to NVIDIA, which now sells it as the NVIDIA Groq 3 LPX.
Deep diveThe technical detail
Groq’s 2023 release said the Samsung deal would let it build “systems ranging from 85,000 to more than 600,000 chips, without any external switches” — a claim about how many chips could be networked into one system, not about factory output 9. No Groq-branded chip from that plan ever shipped under Groq’s own name. Instead, on 24 December 2025 Groq licensed its inference technology to NVIDIA in a non-exclusive agreement, and founder Jonathan Ross and other Groq leaders joined NVIDIA 12. NVIDIA’s resulting rack — which states “Groq and LPU are used under license from Groq, Inc.” — reached full production in August 2026, built by Samsung on what press reports describe as a 4 nm process 13 14. Because it is sold, branded and manufactured under NVIDIA’s name rather than Groq’s, this site treats it as an NVIDIA product, not a second Groq-branded chip, and this Groq product-page series ends with the original LPU. Groq’s own home page describes the arrangement plainly: “We pioneered the LPU. Now, with LPX, it works alongside NVIDIA’s next-generation GPUs” 15.
10.Hidden in plain sight
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Groq’s own architecture paper predates its now-famous speed demos by several years — the “Think Fast” academic paper was published in 2020, the same year the first development kit reportedly shipped 3 2.
Deep diveThe technical detail
An analyst’s estimated wafer cost of “likely less than $6,000” suggests each chip itself is inexpensive to produce; the real cost of a Groq deployment comes from needing hundreds of them working together to match one GPU’s memory capacity — for example, an estimated 576 chips to serve a single Mixtral model 8.