BURT CONSULTANTS
Topic

cost

9 pieces tagged “cost”.

Briefing

Assembling a cost-efficient AI infrastructure stack layer by layer.

Spheron maps AI infrastructure into seven layers. Understanding each layer helps teams buy only what they need and avoid duplicating capabilities.

aiinfrastructurearchitecturecost
2 min read
Briefing

When GKE Standard beats Autopilot for ML workloads.

GKE Autopilot simplifies cluster management but can hide costs for GPU-heavy and latency-sensitive ML workloads. Sometimes Standard is the cheaper and more predictable choice.

gcpgkekubernetescost
2 min read
Briefing

SageMaker Savings Plans versus Spot Training: when to use each.

SageMaker Savings Plans and Managed Spot Training both cut costs, but they suit different workloads. Knowing when to use each is key to a balanced discount strategy.

awssagemakercosttraining
2 min read
Briefing

Ten practical ways to cut Azure Kubernetes spend without hurting reliability.

AKS costs can drift quickly. ScaleOps recommends a focused checklist covering rightsizing, autoscaling, Spot instances, reservations and non-production scheduling.

azurekubernetescostaks
2 min read
Briefing

Why production LLM serving is now a senior-tier specialisation.

Senior MLOps engineers increasingly command a premium because LLM serving requires deep knowledge of inference architecture, cost optimisation and scalable infrastructure.

llmmlopsinferencecost
2 min read
Briefing

How FinOps teams can bring SageMaker spend under governance.

Finout's guide shows how FinOps teams can govern SageMaker costs through pricing literacy, storage lifecycle rules, budget alerts and Savings Plans analysis.

awssagemakerfinopsgovernance
2 min read
Briefing

Disaggregated inference: lowering token cost for agentic AI.

DigitalOcean’s launch of NVIDIA Dynamo 1.0 claims 67 per cent higher GPU throughput and 79 per cent lower latency. The underlying idea — disaggregated inference — matters for agentic workloads.

nvidiadynamoinferenceagentic ai
3 min read
Briefing

The three highest-impact SageMaker cost levers for ML teams.

Idle inference endpoints, oversized training jobs and always-on notebooks are the top drivers of unexpected SageMaker spend. Fixing them is low-hanging fruit.

awssagemakercostml
2 min read
Briefing

What Nvidia Vera Rubin means for your AI infrastructure budget.

Nvidia’s Vera Rubin platform promises five times the training compute of Blackwell at a fraction of the token cost. For infrastructure planners, the signal is clear: do not lock in long-term hardware commitments just yet.

nvidiahardwareai infrastructurecost
2 min read

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