# FURIOSA IR snapshot — retained record

> Retained ir record from ir:FURIOSA.

Canonical: https://highsignal.app/data/records/b92f1fd47e4ff1ea

[← sources](https://highsignal.app/data)


source: [ir](https://highsignal.app/data/ir) (ir:FURIOSA)  published 2026-11-12 02:32 ingested 2026-11-12 03:00

[FuriosaAI](https://highsignal.app/entities/FURIOSA)[original source ↗](https://www.furiosa.ai/)

## retained text



```
Furiosa RNGD accelerates AI transformation
FuriosaAI closes $620 million Series D
[FuriosaAI closes $620 million Series D](/blog/furiosaai-620-million-series-d)
FuriosaAI expands European AI infrastructure with RNGD deployment at Equinix’s Lisbon data center
Furiosa SDK 2026.3: A new kernel framework, and the models it unlocks
FuriosaAI and Broadcom partner on next-gen inference for Agentic AI
RNGD hardware, built for AI transformation at any scale.
Furiosa NXT RNGD Server
[Learn more about the Furiosa RNGD PCIe CardFuriosa NXT RNGD Server](/nxt-rngd-server)
Furiosa RNGD PCIe Card
[Learn more about the Furiosa RNGD PCIe Card](/rngd)
Drop-in GPU replacement. Migrate your entire client code today.
pip install furiosa-llm
furiosa-llm serve [model]
# Serving on :8000 (OpenAI-compatible)from openai import OpenAI
client = OpenAI(
    base_url="http://localhost:8000/v1"
)
client.chat.completions.create(model="[model]", ...)from furiosa_llm import LLM
llm = LLM(
    model="[model]",
    dtype="[precision]",
)
out = llm.generate(prompts)
Start Your RNGD Evaluation
Bare metal
API endpoint
Blog
FuriosaAI closes $620 million Series D to scale efficient, production-ready AI inference
Furiosa SDK 2026.4: Enhanced MoE performance, hierarchical caching, expanded model coverage
FuriosaAI establishes Singapore hub to drive APAC expansion and accelerate global RNGD deployment
```



document fetched 2026-11-12 03:00 · canonical https://furiosa.ai