Add Groq to provider docs

Author: benank

docs/inference-providers/_toctree.yml

@@ -21,6 +21,8 @@
     title: Fal AI
   - local: providers/fireworks-ai
     title: Fireworks
+  - local: providers/groq
+    title: Groq
   - local: providers/hyperbolic
     title: Hyperbolic
   - local: providers/hf-inference

docs/inference-providers/index.md

@@ -19,6 +19,7 @@ Here is the complete list of partners integrated with Inference Providers, and t
 | [Cohere](./providers/cohere)             |           ✅           |           ✅           |                    |               |               |
 | [Fal AI](./providers/fal-ai)             |                       |                       |                    |       ✅       |       ✅       |
 | [Fireworks](./providers/fireworks-ai)    |           ✅           |           ✅           |                    |               |               |
+| [Groq](./providers/groq)                  |           ✅           |                       |                    |               |               |
 | [HF Inference](./providers/hf-inference) |           ✅           |           ✅           |         ✅          |       ✅       |               |
 | [Hyperbolic](./providers/hyperbolic)     |           ✅           |           ✅           |                    |               |               |
 | [Nebius](./providers/nebius)             |           ✅           |           ✅           |         ✅         |       ✅       |               |

docs/inference-providers/providers/groq.md

@@ -0,0 +1,39 @@
+<!---
+WARNING
+
+This markdown file has been generated from a script. Please do not edit it directly.
+
+### Template
+
+If you want to update the content related to groq's description, please edit the template file under `https://github.com/huggingface/hub-docs/tree/main/scripts/inference-providers/templates/providers/groq.handlebars`.
+
+### Logos
+
+If you want to update groq's logo, upload a file by opening a PR on https://huggingface.co/datasets/huggingface/documentation-images/tree/main/inference-providers/logos. Ping @wauplin and @celinah on the PR to let them know you uploaded a new logo.
+Logos must be in .png format and be named `groq-light.png` and `groq-dark.png`. Visit https://huggingface.co/settings/theme to switch between light and dark mode and check that the logos are displayed correctly.
+
+### Generation script
+
+For more details, check out the `generate.ts` script: https://github.com/huggingface/hub-docs/blob/main/scripts/inference-providers/scripts/generate.ts.
+--->
+
+# Groq
+
+<div class="flex justify-center">
+    <a href="https://groq.com/" target="_blank">
+        <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/inference-providers/logos/groq-light.png"/>
+        <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/inference-providers/logos/groq-dark.png"/>
+    </a>
+</div>
+
+<div class="flex">
+    <a href="https://huggingface.co/groq" target="_blank">
+        <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg.svg"/>
+        <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg-dark.svg"/>
+    </a>
+</div>
+
+Groq is fast AI inference. Their groundbreaking Language Processing Unit (LPU) technology delivers industry-leading speed and performance for large language models, achieving much faster performance than traditional GPU-based solutions. With custom chips specifically designed for AI inference workloads and a deterministic, software-first approach, Groq eliminates the bottlenecks of conventional hardware to enable real-time AI applications with predictable latency and exceptional throughput for developers building the next generation of AI-powered solutions.
+
+## Supported tasks
+

scripts/inference-providers/scripts/generate.ts

@@ -37,6 +37,7 @@ const PROVIDERS_HUB_ORGS: Record<string, string> = {
   cohere: "CohereLabs",
   "fal-ai": "fal",
   "fireworks-ai": "fireworks-ai",
+  groq: "groq",
   "hf-inference": "hf-inference",
   hyperbolic: "Hyperbolic",
   nebius: "nebius",
@@ -52,6 +53,7 @@ const PROVIDERS_URLS: Record<string, string> = {
   cohere: "https://cohere.com/",
   "fal-ai": "https://fal.ai/",
   "fireworks-ai": "https://fireworks.ai/",
+  groq: "https://groq.com/",
   "hf-inference": "https://huggingface.co/",
   hyperbolic: "https://hyperbolic.xyz/",
   nebius: "https://nebius.com/",

scripts/inference-providers/templates/providers/groq.handlebars

@@ -0,0 +1,19 @@
+# Groq
+
+{{{logoSection}}}
+
+{{{followUsSection}}}
+
+Groq is fast AI inference. Their groundbreaking LPU technology delivers record-setting performance and efficiency for GenAI models. With custom chips specifically designed for AI inference workloads and a deterministic, software-first approach, Groq eliminates the bottlenecks of conventional hardware to enable real-time AI applications with predictable latency and exceptional throughput so developers can build fast.
+
+For latest pricing, visit our [pricing page](https://groq.com/pricing/).
+
+## Resources
+ - **Website**: https://groq.com/
+ - **Documentation**: https://console.groq.com/docs
+ - **Community Forum**: https://community.groq.com/
+ - **X**: [@GroqInc](https://x.com/GroqInc)
+ - **LinkedIn**: [Groq](https://www.linkedin.com/company/groq/)
+ - **YouTube**: [Groq](https://www.youtube.com/@GroqInc)
+
+{{{tasksSection}}}