NVIDIA AI Day returns to SXSW Sydney on October 15–16 at ICC Sydney, bringing two days of hands-on learning, expert sessions, and a clear look at where AI is heading next. From agentic AI to AI factories and physical AI, this year’s program is built for practitioners who want to move beyond theory and accelerate real deployments.
As an NVIDIA partner and a leader in high-performance AI infrastructure, XENON Systems is excited to join the community in Sydney. Here’s what to expect—and how we can help you translate insights into outcomes.
Key highlights
- Hands-on DLI labs (Oct 15)
- Fundamentals of Agentic AI—A Brief Introduction (2–4 pm)
- Introduction to NVIDIA Cosmos for Physical AI (2–5 pm)
- Seats are limited; registration must be added in the attendee portal to participate.
- Full-day sessions (Oct 16)
- Agentic AI and Generative AI: Architectures, frameworks, and enterprise use cases
- AI Factory: Building full-stack AI infrastructure for training, fine-tuning, and inference at scale
- Industrial AI and Robotics: Digital twins, simulation, and automation
- Sovereign AI: Strategies for localised innovation and data control
- HPC and Quantum: AI for science and accelerated computing frontiers
- Developer Tools and Techniques: Models, SDKs, optimisations, and deployment best practices
Why this matters now
- From pilots to production: Organisations are moving from proof-of-concept to AI products and platforms. Infrastructure choices—GPUs, storage tiers, networking, orchestration—determine pace and cost.
- Agentic and physical AI: Workflows are becoming more autonomous and more grounded in the real world, demanding faster simulation, vector databases, guardrails, and scalable inference.
- AI factories: Enterprises need repeatable, secure pipelines for data, training, evaluation, and deployment—on-prem, cloud, or hybrid—with predictable performance and TCO.
- Sovereign AI: Data locality, compliance, and trust are driving investments in Australian-hosted, high-performance infrastructure.
How XENON Systems can help
- GPU-accelerated platforms, tuned for AI
- NVIDIA HGX and PCIe GPU servers configured for foundation model training, fine-tuning (LoRA/QLoRA), and high-throughput inference.
- High-bandwidth fabrics (InfiniBand/NVLink/NVSwitch) for multi-node training efficiency.
- AI Factory architecture
- Reference designs for full-stack AI: data ingest, feature stores, vector DBs, model training, eval/guardrails, CI/CD for ML, observability, and cost governance.
- Support for hybrid and sovereign deployments with Australian data residency.
- Storage for AI pipelines
- High-performance parallel file systems and tiered object storage for datasets, checkpoints, and embeddings.
- Edge and industrial AI
- NVIDIA Jetson and edge inference nodes integrated with digital twin and robotics pipelines.
- MLOps and developer enablement
- Tooling for Triton Inference Server, TensorRT, CUDA-accelerated data prep, RAPIDS, and container orchestration with Kubernetes.
- Services and support
- Capacity planning, workload sizing, benchmarking, and implementation with ongoing lifecycle support.
Make the most of AI Day
- Book the DLI labs early: Seats are first-come, first-served via the attendee portal.
- Shortlist sessions relevant to your roadmap: Agentic AI, AI Factory, and Developer Tooling are must-sees for most teams.
- Meet with us onsite: Bring your workloads and questions—we’ll help map sessions to a practical architecture plan.
Join us at ICC Sydney on Oct 15–16
Whether you’re scaling a generative AI product, building an enterprise AI platform, or deploying AI at the edge, we’d love to connect.
- Event details and registration: NVIDIA AI Day Sydney 2025
- Want to meet at the event? Contact the XENON Systems team to schedule time.
