We don't do small
Serverless-like experience, limitless capacity, ready for the world’s largest models.
Inference without limits, built for enterprise scale
SLA-driven Orchestration
Inference behaves differently for every AI application. Impala automatically adapts infrastructure to each workload’s unique compute and memory patterns
Serverless-like simplicity while choosing any model.
Run the latest models instantly, without managing infrastructure. Dedicated endpoints, deployed on your cloud
Disaggregated Serving
Compute Fabric is the invisible layer that stitches models and machines together. Any hardware, any workload- unified, abstracted, scaled.
Unparalleled Performance
Optimized for massive inference jobs. Run unmodified models faster, cheaper, and more reliably than ever before.
Fully managed Inference Solution
You define what needs to happen. We make it happen
BYOC- Bring your own compute Our infrastructure fully deployed on your cloud
Your AI operations, on autopilot.
Impala’s Control Plane brings visibility and automation to your inference workloads. Track performance, manage costs, and choose the right models - all without the operational overhead.
Purpose built for data processing
Answers to all your questions, quickly and clearly
Impala is built for throughput-first inference, not chat-speed latency. We support three broad profiles:
- Near real-time (10 sec–few min) – streaming or event-driven use cases like document enrichment, or auto-responses.
- Async (~1 hr) – workflow or scheduled jobs such as summarization, content generation, or data classification.
- Batch (multi-hour to large-scale) – Image/ Video understanding, labeling, or synthetic data generation.
Yes. Because Impala runs in your account, usage bills against your existing agreements and credits.
We’re a fully-managed, distributed LLM-inference platform optimized for massive batch/async jobs. While other stacks prioritize p95 latency; we optimize tokens / $ at scale.
Our system hunts capacity cross cloud/region and auto-scales to your SLOs via real-time inventory search and orchestration- no idle clusters, no pre-warming, no manual tuning.
