Hire for vLLM Mastery
Your LLM inference is slow and expensive, and you can't serve enough concurrent users. You're here because you need to dramatically improve the throughput and efficiency of your model serving. You need an expert in vLLM who understands concepts like PagedAttention and continuous batching to build a high-performance, cost-effective inference service.
Sound Familiar?
Common problems we solve by providing true vLLM experts.
Is your GPU memory wasted, limiting your batch size?
The Problem
Traditional LLM serving wastes over 50% of GPU memory on reserved but unused space for the KV cache, severely limiting throughput.
The TeamStation AI Solution
We find engineers who understand how vLLM's PagedAttention algorithm efficiently manages the KV cache, nearly eliminating memory waste and dramatically increasing the effective batch size.
Proof: Massively increased throughput with PagedAttention
Is your GPU idle while waiting for a full batch to finish generating?
The Problem
In traditional batching, the entire batch must wait for the slowest generation to complete, leaving the GPU underutilized.
The TeamStation AI Solution
Our engineers are experts in vLLM's continuous batching, which allows new requests to be added to the batch as soon as others finish, leading to much higher GPU utilization and lower latency.
Proof: Higher GPU utilization with continuous batching
Are you struggling to serve multiple models or LoRA adapters?
The Problem
Serving many different fine-tuned models or adapters on the same GPU is a complex operational challenge.
The TeamStation AI Solution
We look for engineers with experience in vLLM's support for multi-LoRA serving, allowing you to serve hundreds of fine-tuned models on a single GPU with minimal overhead.
Proof: High-density multi-model serving
Our Evaluation Approach for vLLM
For roles requiring deep vLLM expertise, our Axiom Cortex™ evaluation focuses on practical application and deep system understanding, not just trivia. We assess candidates on:
- Understanding of PagedAttention and its benefits
- Continuous batching for high throughput
- Deployment as a scalable API service
- Performance tuning and GPU utilization
- Compatibility with different model architectures
Ready to Hire Elite vLLM Talent?
Stop sifting through unqualified resumes. Let us provide you with a shortlist of 2-3 elite, pre-vetted candidates with proven vLLM mastery.
Book a No-Obligation Strategy Call