In the rapidly evolving world of generative AI, there's a constant search for tools that provide high performance without breaking the bank. Enter PeriFlow, a solution that promises to be the speediest generative AI serving engine available. This impressive engine caters to needs of both power and versatility.
PeriFlow is the brainchild of seasoned experts, drawing upon profound research and vast experience in operating generative AI models. It leverages multi-layer optimizations, along with scheduling and batching techniques, ensuring a seamless experience. The technology underpinning its batching capabilities is even patented in the US and Korea, highlighting its innovation.
The strength of PeriFlow lies in its wide-ranging support for generative AI models, such as:
These models have become fundamental to applications that include chatbots, translation services, content summarization, code generation, and even caption creation. Dealing with these models has historically been expensive and complex, but PeriFlow makes this a thing of the past.
To cater to diverse requirements, PeriFlow supports decoding options like greedy, top-k, top-p, beam search, and stochastic beam search. Moreover, it's compatible with data types including fp32, fp16, bf16, and int8. This range of options allows for flexibility depending on the specific needs.
One of PeriFlow's most remarkable features is its performance compared to competitors. It notably outpaces NVIDIA Triton+FasterTransformer in both latency and throughput across a spectrum of LLM sizes. For instance, it offers a tenfold throughput enhancement for a GPT-3 175B model without compromising on latency.
PeriFlow presents two convenient usage approaches:
For those who prefer managing their environment, the PeriFlow Container can be operated on-premise.
Alternatively, users may opt for the PeriFlow Cloud service for an auto-managed solution.
Deploying and using a generative AI model with PeriFlow is a straightforward two-step process:
For instance, you can send an inference request to an HTTP endpoint provided after deployment:
curl http://<periflow-endpoint>/v1/completions \
-H "Content-Type: application/json" \
-d '{ "prompt": "Say this is a test", "max_tokens": 5}'
Responses are returned in a clear and concise format:
{
"choices": [
{
"index": 0,
"text": ", say it works!",
"tokens": [11, 910, 340, 2499, 0]
}
]
}
FriendliAI, the innovative minds behind PeriFlow, is headquartered in Redwood City, California, with an additional hub in Seoul, Korea. They maintain a strong commitment to their users, evident through their comprehensive privacy policy and transparent service agreements.
Interested in more details or trying out PeriFlow? The knowledgeable team at FriendliAI is reachable at contact@friendli.ai.
PeriFlow is not without its pros and cons:
Pros:
Cons:
In conclusion, PeriFlow stands out as a significant advancement in serving generative AI models efficiently. With its focus on speed, versatility, and cost-effective operation, it's positioned to be an invaluable asset to various AI-driven applications.
