High-Throughput
GPU & vLLM Hosting.
Host and serve open-source foundation models (Llama 3.3, DeepSeek, Mistral) on dedicated GPU clusters. Sub-20ms latency, zero data retention, and up to 70% lower inference costs than public APIs.
How we achieve maximum token throughput.
Model Optimization & Quantization
Benchmark FP16 vs AWQ 4-bit vs FP8 to find the exact sweet spot between accuracy and tokens/second.
vLLM / TensorRT Compilation
Compile custom model weights with optimized kernel graphs tailored to specific GPU architectures.
Distributed Ray Serve Mesh
Scaffold tensor-parallel and pipeline-parallel multi-GPU clusters behind intelligent load balancers.
Stress Testing & SLA Sign-off
Run sustained load tests of 5,000+ concurrent users to guarantee sub-20ms first-token response times.
Dedicated, private compute for your models.
vLLM PagedAttention High-Throughput Clusters
Deploy state-of-the-art continuous batching and PagedAttention runtimes on NVIDIA H100 and A100 GPUs delivering 4x to 8x higher tokens/second per dollar.
Dynamic Speculative Decoding & FP8 Acceleration
Accelerate token generation speeds by 2.5x utilizing small draft models to verify multi-token predictions with zero degradation in model output quality.
Multi-Cloud GPU Autoscaling & Spot Interception
Automated cluster scaling across Lambda Labs, RunPod, AWS, and GCP with instant spot interruption recovery and warm pool standby.
Private OpenAI-Compatible API Endpoints
Drop-in replacement for OpenAI endpoints with API keys, rate-limiting, usage metering, and guaranteed tenant isolation inside your VPC.
Ready to host private GPU clusters?
Book a consultation to calculate your exact token throughput and cost reduction.