Fast, scalable inference in our cloud or yours
Built for when performance, security, and reliability matter, wrapped with a delightful developer experience.
++++Accelerating time to market for companies scaling inference in production
Performance
Baseten delivers with high model throughput (up to 1,500 tokens per second) and fast time to first token (below 100ms).
Developer workflow
We've streamlined the entire development process, significantly reducing the time and effort required to go from concept to deployment with Truss.
Enterprise readiness
Baseten delivers high-performance, secure, and dependable model inference services that align with the critical operational, legal, and strategic needs of enterprise companies.
You guys have literally enabled us to hit insane revenue numbers without ever thinking about GPUs and scaling. I know I ask for a lot so I just wanted to let you guys know that I am so blown away by everything Baseten.
Rime’s state-of-the-art p99 latency and 100% uptime over 2024 is driven by our shared laser focus on fundamentals, and we’re excited to push the frontier even further with Baseten.
Baseten enabled us to achieve something remarkable—delivering real-time AI phone calls with sub-400 millisecond response times. That level of speed set us apart from every competitor.
A week ago we reached out with a hefty goal and within days your team helped us get set up and stable for a launch. It went smoothly, entirely thanks to you guys. 100% couldn’t have gone live without the software and hardware support you guys worked through the weekend to get us. The custom optimized Whisper on Baseten’s autoscaling L4 GPUs saved us.
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.
You guys have literally enabled us to hit insane revenue numbers without ever thinking about GPUs and scaling. We would be stuck in GPU AWS land without y'all. Truss files are amazing, y'all are on top of it always, and the product is well thought out. I know I ask for a lot so I just wanted to let you guys know that I am so blown away by everything Baseten.
Baseten gets the stuff we don't want to do out of the way. Now, our small, scrappy team can punch above our weight. It's everything from model serving, to auto-scaling, to iterating on products around those models, so we can deliver value to our customers and not worry about ML infrastructure.
Baseten provides an easy way for us to host our models, iterate on them, and experiment without worrying about any of the DevOps involved.
Baseten has allowed us to efficiently build an entirely new machine learning platform in just 4 months. By not needing to worry about managing our model infrastructure, Laurel has been able to drastically reduce our time to develop new predictive features and maintain more than double the number of models from our old platform.
++++Highly-performant infra that scales with you
The best serving engines available
Take advantage of inference speed advancements at the server level by using the latest engines available. Our inference optimizations allow models to have a lower memory footprint while running on optimal hardware.
Blazing fast cold starts
We've optimized every step of the pipeline — building images, starting containers, caching models, provisioning resources, and fetching weights — to ensure models scale-up from zero to ready for inference as quickly as possible.
Mission-critical low latency
For interactive applications such as chatbots, virtual assistants, or real-time translation services, our authentication and routing service enables reduced latency and high throughput–up to 1,500 tokens per second.
Effortless GPU autoscaling
Baseten's autoscaler analyzes incoming traffic to your model, automatically creating additional replicas to maintain your desired service level. Horizontally scale from zero to thousands of replicas to meet the demands on your model without overpaying for compute.
++++The most flexible way to serve AI models in production
Open-source model packaging
Truss presents an open-source standard for packaging models built in any framework (including PyTorch, Tensorflow, TensorRT, and Triton) for sharing and deployment in any environment, local or production.
1class Model:
2 def __init__(self, **kwargs):
3 self.device = "cuda" if torch.cuda.is_available() else "cpu"
4 self.model = None
5
6 def preprocess(self, request: Dict) -> Dict:
7 resp = requests.get(request["url"])
8 return {"response": resp.content}
9
10 def load(self):
11 self.model = whisper.load_model("large-v3.pt", self.device)
12
13 def predict(self, request: Dict) -> Dict:
14 with NamedTemporaryFile() as fp:
15 fp.write(request["response"])
16 result = whisper.transcribe(self.model, fp.name, temperature=0)
17 segments = [
18 {"start": r["start"], "end": r["end"], "text": r["text"]}
19 for r in result["segments"]
20 ]
21 return resultDeploy models in just a few commands
Baseten simplifies the transition from development to production, making it easy to bring your custom or open-source models to life with minimal setup.
pip install --upgrade truss
Instant API. Your deployed model, automatically wrapped in an endpoint.
+++++Tools that make
managing inference easy
Resource management
Efficiently manage your models with our intuitive platform, ensuring optimal resource allocation and performance.
Logs & event filtering
Log management and event filtering capabilities help you quickly identify and resolve issues, enhancing model reliability.
Cost management
Keep your infra under control with detailed cost tracking and optimization recommendations.
Observability
Ensure your systems are operating smoothly with comprehensive observability tools. Track inference counts, response times, GPU uptime and other critical metrics in real-time.
Effortless autoscaling
Automatically scale your models to meet demand without manual intervention to ensures that your models are always available, efficient, and cost-effective.
Your infrastructure and cloud, our autoscaling and model performance
Deploy on your own infrastructure
Deploy our inference engine within your own virtual private cloud.
Fulfill your cloud commitments
Take advantage of your existing spend agreements while capturing the performance of our software.
Security by design
Our commitment to security is unwavering, designed to deliver peace of mind while you innovate and scale with confidence.
Baseten also offers single tenancy, isolating your models virtually and physically, whether self-hosted, run on your own cloud, or in a single-tenant cloud.
Latest updates from the blog
New observability features: activity logging, LLM metrics, and metrics dashboard customization
We added three new observability features for improved monitoring and debugging: an activity log, LLM metrics, and customizable metrics dashboards.
How we built production-ready speculative decoding with TensorRT-LLM
Our TensorRT-LLM Engine Builder now supports speculative decoding, which can improve LLM inference speeds.
A quick introduction to speculative decoding
Speculative decoding improves LLM inference latency by using a smaller model to generate draft tokens that the larger target model can accept during inference.
Explore Baseten today
We love partnering with companies developing innovative AI products by providing the most customizable model deployment with the lowest latency.