Production-Ready Model Operations
Halcyon Compute works with engineering teams to review, tune, and mature their model deployment practices — from first launch to sustained multi-model operations.
What We Offer
Three structured engagements, each scoped to a specific stage of deployment operations maturity.
Deployment Readiness Walkthrough
A structured half-day session to review whether a trained model is ready for production — covering packaging, monitoring, and rollback practices in plain terms.
- Readiness rubric included
- Written summary provided
- Suitable for first-launch teams
Serving Pipeline Tuning Workshop
Two facilitated sessions exploring batching, caching, and resource scheduling to improve inference responsiveness. Hands-on and vendor-neutral.
- Tuning worksheet provided
- Follow-up note included
- For teams with running deployments
Operations Advisory Retainer
A three-month engagement supporting deployment operations through regular reliability reviews, scheduling guidance, and living runbook development.
- Living runbook maintained
- Scheduled review calls
- For multi-model production teams
The Operational Difference
Our approach is designed around how engineering teams actually work — not around generic consulting frameworks.
Structured, Not Prescriptive
Each engagement follows a clear framework but adapts to your team's existing stack, vocabulary, and deployment pace.
Vendor-Neutral Guidance
We do not push specific tooling. Our recommendations are grounded in operational principles that apply across platforms.
Runbook-First Thinking
Every session produces usable documentation — checklists, worksheets, or living runbooks your team keeps long after the engagement ends.
Team-Oriented Sessions
Sessions are facilitated collaboratively so your whole team develops a shared operational vocabulary, not just individual notes.
Staged Engagement Options
Start with a focused walkthrough and progress to deeper workshops or an advisory retainer as your operational needs grow.
Plain Language Throughout
We communicate in clear, direct terms — no jargon-heavy reports that gather dust. Readiness assessments are written to be read and acted on.
Built for NVIDIA-Powered AI Deployments
The models teams deploy today increasingly run on NVIDIA GPU infrastructure — from a single A100 instance to multi-node clusters using NVLink. Halcyon Compute's advisory covers the operational layer that sits between your trained model and reliable production serving on these environments.
Why GPU-Specific Operations Matter
CPU-oriented deployment runbooks do not translate cleanly to GPU serving. Memory allocation, CUDA context management, TensorRT optimisation, and multi-GPU scheduling each introduce failure modes that generic checklists miss. Our walkthroughs and workshops address these gaps directly, working with whatever NVIDIA-based serving stack your team has in place — whether that is Triton Inference Server, vLLM, or a custom FastAPI wrapper on top of PyTorch.
Large Language Models in Production
Running LLMs is operationally different from serving smaller models. Token throughput, KV-cache sizing, batching strategies for variable-length prompts, and graceful degradation under load all need deliberate planning. Halcyon Compute works with teams deploying foundation models and fine-tuned variants on NVIDIA H100, A100, and L40S hardware to bring the same structured rigour to LLM operations that has long existed for classical ML serving.
Vendor-Neutral, Hardware-Aware
Our advisory is not tied to any particular software product. We work across the NVIDIA ecosystem — NIM microservices, Triton, RAPIDS, and bare-metal GPU clusters — as well as cloud GPU deployments on AWS, GCP, and Azure. Recommendations are grounded in the operational reality of your hardware, not a preferred vendor's documentation.
GPU Memory & Scheduling Review
We examine how your team allocates VRAM across models, handles concurrent requests, and manages out-of-memory conditions — producing a written summary of risks and adjustments.
Triton & Inference Server Readiness
Our readiness walkthrough covers NVIDIA Triton Inference Server configurations — model repositories, dynamic batching settings, backend selection, and health endpoint setup — using our structured rubric.
LLM Throughput & Latency Tuning
The Pipeline Tuning Workshop addresses continuous batching, prompt prefix caching, quantisation trade-offs (FP16, INT8, AWQ), and KV-cache configuration for teams serving transformer-based models at scale.
Operational Runbooks for AI Teams
The Advisory Retainer produces a living runbook covering GPU node health checks, model version promotion, rollback procedures, and incident response — written for engineers, not for management decks.
Technologies our engagements commonly cover
Ready to Review Your Deployment Practices?
Whether you are preparing a first model launch or managing several in production, a focused session with Halcyon Compute gives your team a clear view of where you stand operationally.
Common Questions
What does a Deployment Readiness Walkthrough cover?
The walkthrough reviews how your trained model is packaged, what monitoring is in place, and whether your team has a rollback path. We use a structured checklist and produce a written readiness summary at the end of the session. It is designed for teams preparing to serve a model in production for the first time.
Do we need a specific serving framework to attend the Pipeline Tuning Workshop?
No. The workshop is vendor-neutral. We cover batching, caching, and resource scheduling as concepts and practices. You bring examples from your own setup, and we work through them together across two facilitated sessions. Any team with a running deployment will find the content applicable.
How does the three-month Advisory Retainer work in practice?
We schedule regular calls to review your reliability metrics, scheduling arrangements, and operational documentation. Between calls, we maintain a living runbook that reflects your current practices. The retainer is designed for teams running several models in production who want consistent, structured oversight rather than one-off engagements.
Can we start with a walkthrough and then move to the retainer?
Yes, many teams do exactly that. The walkthrough gives you a baseline view of your operational readiness. If further structure is needed, the workshop or retainer are natural next steps. There is no obligation to progress, and each engagement is scoped independently.
Are these sessions delivered remotely or on-site in Cyberjaya?
Sessions can be arranged either way. We are based in Cyberjaya and can work with teams across Malaysia. Remote delivery via video call is also fully supported. We discuss format preferences during the initial enquiry so the session fits your team's working style.
How is pricing structured and are there additional costs?
Each engagement is priced as listed: RM 560 for the walkthrough, RM 1,540 for the workshop, and RM 2,760 for the three-month retainer. These are flat fees covering the session time, facilitation, and all written outputs. Travel costs for on-site sessions outside Cyberjaya are discussed separately.
Find Our Office
No. 8, Persiaran APEC, Cyber 8, 63000 Cyberjaya, Selangor, Malaysia
Get in Touch
Send us a message or use the contact details below. We respond to all enquiries within one business day.
Contact Details
Phone
+60 3-8312 6904Address
No. 8, Persiaran APEC,
Cyber 8, 63000 Cyberjaya,
Selangor, Malaysia
Working Hours
Mon – Fri: 9:00 AM – 6:00 PM
Sat: 10:00 AM – 1:00 PM
Sun & Public Holidays: Closed