Inference, what happens after you prompt an AI model like ChatGPT, has taken on more salience now that traditional model scaling has stalled. To get better responses, model makers like OpenAI and ...

Leading Performance with LoRAX, Turbo LoRA, and FP8 At the core of the Predibase Inference Engine are Turbo LoRA and LoRAX, which together dramatically enhance the speed and efficiency of model ...

“Without any hardware optimization, we’ve unlocked a throughput of 501 tokens per second on the Llama3.1 8B model, which far beats other inference engines. Similarly, we’ve achieved better ...

B-Preview, an open source AI coding model based on Deepseek-R1-Distilled-Qwen-14B. The model achieves a 60.6% pass rate on ...

The Predibase Inference Engine—powered by Turbo LoRA and LoRAX to dramatically enhance model serving speed and efficiency—offers seamless GPU autoscaling, serving fine-tuned SLMs 3-4x faster than ...

a high-performance inference engine that supports continuous batching, multiple graphics processing units and large context inputs. VLLM has been adopted as a de facto standard by several model ...

Cerebras’ Wafer-Scale Engine has only been used for ... in rokens/second/user at 1/2 the cost on inference queries on the Llama3.1-70B model. Compared to Groq, widely perceived as the leader ...

inference engine. This option runs a model quantized using a precision weight of INT8, with an activation layer of INT16. By choosing to use a higher precision activation layer than the model ...

By open-sourcing this technology, vLLM has given developers streamlined, memory-efficient tools they can use across public clouds, model providers ... s powerful inference engine, they aim ...