Midokura Technology Radar
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Technologies Overview
Data Center & Cloud AI
This quadrant covers core AI infrastructure at scale, including GPU/HPC, storage, networking, and secure cloud AI services.
Adopt
Dense GPU Compute
New
Efficient Serving Infrastructure (KServe and llm-d)
New
NVMe & GPUDirect Storage
New
SONiC (Open Source Switch OS)
New
Trial
GPU-aware Kubernetes & Cluster Orchestration
New
Prefill-Decode Disaggregation
New
RDMA & High-performance Networking
New
Scalable Network Fabric with BGP/VTEP
New
Assess
Agentic Memory Systems
New
Confidential Computing
Cooling & Power for Dense AI Racks
New
Edge-to-Data-Center Integration
New
Energy-efficient AI & Carbon Tracking
New
Ocre / Atym
TurboQuant
New
VLA (Very Large AI) Models
New
World Models
New
Backlog
Device Fingerprinting
Exoscalar
Lightweight M2M Protocol
MQTT-SN
SpinKube
Hold
Blockchain and Decentralized Technologies