H100 vs L40S: Which GPU Should You Choose?
Compare NVIDIA H100 and L40S for AI training, inference, graphics, memory, performance, and enterprise GPU economics.
Guides for GPU, RAG, and production AI decisions
Sizing, readiness, architecture, and adoption notes written for Indonesian infrastructure, data, and AI teams — not generic cloud marketing.
What Is GPUaaS?
Understand GPU as a Service, deployment models, workloads, architecture, security, pricing, and when enterprises should use cloud GPU capacity.
What Is RAG?
Learn how retrieval augmented generation connects enterprise knowledge, vector search, citations, governance, and LLM responses.
Enterprise AI Adoption in Indonesia
A practical framework for enterprise AI strategy, use-case selection, governance, data, infrastructure, operating models, and adoption in Indonesia.
Sovereign AI Explained
Understand sovereign AI, data residency, operational control, model governance, infrastructure, security, and deployment choices.
AI Infrastructure Sizing Guide
Size GPU, CPU, memory, storage, networking, model serving, resilience, and operations for enterprise AI workloads.
NVIDIA GPU History and Evolution: From GeForce 256 to Vera Rubin
Explore NVIDIA GPU history from GeForce 256 and CUDA to Tensor Cores, Hopper, Blackwell, and the Vera Rubin AI platform, with a timeline and comparison table.
Zankore by Indosat: 1 GW AI Infrastructure Platform
Indosat, Ooredoo Group, Nokia, and NVIDIA launched Zankore by Indosat, an AI infrastructure platform targeting 1 GW of NVIDIA DSX capacity in Asia-Pacific.
Indosat: Indonesia's First NVIDIA Cloud Partner
At MWC 2024, Indosat Ooredoo Hutchison signed an MoU with NVIDIA, becoming Indonesia's first NVIDIA Cloud Partner and bringing GPU-as-a-Service to enterprises.
GPU Merdeka by Lintasarta: A Sovereign AI Cloud
GPU Merdeka by Lintasarta is an NVIDIA-accelerated sovereign AI cloud at a renewable-powered BDx Indonesia data center, built in under three months.
Sahabat-AI: Indonesian-Language AI on NVIDIA Blackwell
Sahabat-AI is a collection of open Indonesian-language models on NVIDIA NeMo and NIM, backed by the Indosat-NVIDIA-Cisco AI Center of Excellence.
VRAM, Bukan TFLOPS: Batas Nyata GPU untuk Video Generatif
Mengapa kapasitas VRAM per kartu, bukan throughput komputasi, yang menentukan resolusi dan durasi video yang bisa dihasilkan model generatif terbuka.
Kapasitas atau Bandwidth: Membaca Memori Akselerator Inferensi
Akselerator inferensi mulai memakai LPDDR5X dan GDDR7, bukan hanya HBM. Penjelasan teknis mengapa kapasitas dan bandwidth memori adalah dua keputusan terpisah.
Menebak lalu Memverifikasi: Cara Speculative Decoding Mempercepat Inferensi
Speculative decoding mempercepat fase decode dengan menebak beberapa token lalu memverifikasinya sekali jalan. Penjelasan mekanika, aritmetika, dan batasnya.
GPU Sizing Guide
A practical worksheet for translating AI models, users, latency, throughput, and resilience into GPU capacity.
Enterprise AI Checklist
A structured checklist covering business readiness, data, governance, infrastructure, security, operations, and adoption.
RAG Readiness Assessment
Assess knowledge quality, permissions, retrieval, evaluation, integrations, security, and operational readiness for enterprise RAG.