Heterogeneous Next-Gen Compute

From GPU to disruptive architectures

Strategic orchestration of workload-specific silicon: Breaking the Von-Neumann Bottleneck.

Deployment of Groq (LPU) and Cerebras (WSE) for deterministic sub-second AI inference and massive training.

Consulting on RISC-V sovereign infrastructure and Next Silicon adaptive co-processors for legacy workloads.

Roadmaps for Q.ANT photonic fabric and SpiNNaker2 neuromorphic systems for 100x efficiency gains.

Phase	Strategic Action	Outcome
1. Latency Audit	Profiling TTFT on H100 clusters vs Groq specs.	Baseline for ROI.
2. Memory-Mapping	Optimizing LLM weights for Cerebras CS-3 SRAM.	Zero DRAM bottlenecks.
3. Dataflow Deployment	Integration of SambaNova RDUs for RAG workloads.	Scalable inference.

Phase	Strategic Action	Outcome
1. ISA Evaluation	RISC-V vector extension mapping for legacy x86 code.	Migration risk report.
2. Adaptive Offload	Next Silicon co-processor kernel offloading.	Transparent acceleration.
3. Compliance Hardening	Open-Source Silicon root-of-trust audit.	Sovereign security.

Phase	Strategic Action	Outcome
1. Photonics Audit	Profiling I/O latencies against Q.ANT optical fabric.	Identification of MAC bottlenecks.
2. Neuromorphic Sync	Hybrid SpiNNaker2 edge-inference co-design.	60% TCO reduction.
3. Exascale Setup	Final PCIe/CXL integration into production HPC.	AI-Native environment.

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Master the landscape of specialized accelerators with Malgukke expertise.