About BaaZ
We're a team of GPU infrastructure engineers who've built production AI systems at scale. We're not a traditional consultancy—we write code, configure systems, and solve problems alongside your team.
Technical Credentials
Apache Software Foundation
Contributors to Apache open-source projects. Our careers are built on open-source infrastructure.
Production Experience
Built and operated GPU infrastructure at startups and scale-ups—under pressure, in production.
Hands-On Engineers
We implement solutions, not recommendations. You work directly with the engineers who do the work.
Areas of Expertise
Distributed Training Systems
- PyTorch DDP & FSDP
- DeepSpeed & Megatron
- Multi-node training optimization
- Gradient synchronization tuning
High-Performance Networking
- InfiniBand & RoCE
- RDMA configuration
- GPUDirect RDMA
- NCCL tuning
GPU Orchestration
- Kubernetes GPU operators
- Slurm integration
- Multi-tenancy & quotas
- Job scheduling
GPU Sharing & Isolation
- MIG (Multi-Instance GPU)
- Time-slicing
- Fractional GPUs
- vGPU
Observability & Reliability
- DCGM metrics
- GPU health monitoring
- Fault detection & recovery
- Performance profiling
Infrastructure Platforms
- H100, A100, L40S, A6000
- NVLink & NVSwitch
- PCIe topology optimization
- Bare metal & cloud
Why Choose a Boutique Firm?
Big consultancies send junior consultants who learn on your infrastructure. We're different.
Work Directly With Experts
You work directly with the engineers who do the work—no junior consultants learning on your infrastructure.
Production Experience
We've operated these systems in production, not just advised on them. We know what breaks at 3am.
Knowledge Transfer
We implement and transfer knowledge; you don't need us forever. Your team can operate it going forward.
Proven Results
RDMA optimization for a computer vision company
Up from 30% through proper sharing architecture
GPU-to-GPU communication optimization
Let's Talk
If you're dealing with GPU infrastructure challenges—utilization, performance, reliability, or building something new—we should talk.
Schedule a Call