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Apply model performance research in production

Get blazing-fast inference with out-of-the-box performance optimizations

Trusted by top engineering and machine learning teams
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MODEL PERFORMANCE

++++Gain a team of model performance engineers

Use featureful inference servers

Production-grade support for critical performance features is baked into our infra. Use speculative decoding, structured outputs, LoRAs, and more from day one.

Apply research in production

Our engineers apply the latest AI research and custom runtime optimizations in production, so you get high performance and cost-efficiency without the engineering effort.

Customize speed, cost, and quality

At Baseten, low latency and high throughput are a given, but you can also customize how you balance performance, cost-efficiency, and output quality to meet your exact needs.

++++Get rapid inference with built-in optimizations

Automatic TensorRT runtime builds

Leverage optimized TensorRT runtimes in minutes (vs. hours), with full support for dynamic GPU allocation, FP8 quantization, structured output, and more.

We also maintain full support for inference frameworks including vLLM, TGI, TEI, and SGLang.

NVIDIA Hopper GPUs

While you can use many different GPUs on Baseten, we also ensure plentiful availability of H100s, H200s, GH200s, and H100 MIGs (multi-instance GPUs) for efficient model serving, especially with TensorRT.

Production-ready speculative decoding

We natively support speculative decoding and self-speculative techniques like Medusa and Eagle. With the model orchestration fully abstracted, you can fine-tune parameters or leverage pre-built configs directly,

Ultra-low-latency compound AI

Chain any number of models and processing steps together using Baseten Chains. With custom hardware and autoscaling per step, we’ve seen processing times halved and GPU utilization improved 6x.

Performance engineering for the next generation of AI products

Waseem Alshikh
CTO and Co-Founder of Writer

Inference for custom-built LLMs could be a major headache. Thanks to Baseten, we’re getting cost-effective high-performance model serving without any extra burden on our internal engineering teams. Instead, we get to focus our expertise on creating the best possible domain-specific LLMs for our customers.

  • 70B parameter custom LLM
  • 60% higher TPS
  • 35% lower cost per million tokens

Get started

Optimized inference on Baseten

Compare GPUs

Check out our detailed GPU benchmarks on our blog, featuring tailored recommendations for different use cases.

Try the fastest Whisper transcription

Baseten engineers built the fastest, most accurate, and cost-efficient Whisper transcription available.

Deploy an open-source model

Get a feel for the Baseten UI and inference capabilities by deploying popular open-source models directly from our Model Library.