
Nebius Token Factory Becomes First AI Cloud to Adopt NVIDIA Groq 3 LPX
Nebius Token Factory Becomes First AI Cloud to Adopt NVIDIA Groq 3 LPX
Nebius is the first AI cloud to adopt NVIDIA Groq 3 LPX
Production agentic workloads are changing inference requirements
Inference has two distinct jobs: context and generation. Context involves ingesting long prompts, large codebases, and persistent multi-turn agent state. Generation produces the tokens a user or agent actually sees and acts on.
An agent can make dozens of sequential model calls to complete a single task. Each step depends on the one before it, so latency compounds across the entire workflow. As a result, the speed of generation increasingly determines how quickly an agent can get useful work done.
NVIDIA Groq 3 LPX
Fastest Gemma 4 31B inference performance ever recorded
Artificial Analysis benchmarked NVIDIA Groq 3 LPX running Gemma 4 31B at 3,400 output tokens per second for a single user, the fastest performance ever recorded for that model. With NVIDIA Vera Rubin NVL72
Faster generation, no re-architecture
Token Factory provides production inference across leading open models, with serverless and dedicated endpoints, autoscaling, observability, function calling, structured outputs, and the infrastructure required to operate models at scale.
A fast token means very little if getting it requires re-architecting a stack for new silicon. Nebius’s approach is the opposite: NVIDIA Vera Rubin NVL72 and Groq 3 LPX will run on the same Token Factory platform developers are already running at scale, initially supporting a subset of models alongside familiar features like autoscaling, and observability.
Developers get speed, scale, and lowest token cost
Token Factory already ships the pieces multi-agent systems depend on: native function calling, structured JSON outputs, and built-in safety guardrails for tool-calling agents, on top of dedicated endpoints with sub-second latency targets. With NVIDIA Groq 3 LPX on that same platform, developers building multi-agent pipelines, real-time coding assistants, and latency-sensitive reasoning applications get faster generation the same way they call every other Token Factory endpoint today: same platform, same operating model, faster tokens where the workload demands it.
Get started on Token Factory
For teams already running production traffic on Token Factory, adding NVIDIA Groq 3 LPX to a latency-sensitive workload is a model-selection change, not a migration: no new SDK, no new vendor relationship, no new billing setup.



