BFSI
9 articlesInsurance Claims Automation: GPU Planning for Document AI at Scale
Claims automation is a document AI problem before it is an LLM problem. Vision-language models now read scanned forms, prescriptions and estimates end-to-end, which changes GPU sizing: throughput is governed…
Where BFSI AI Compute Must Sit: RBI Localisation Meets DPDP
DPDP takes a permissive line on cross-border transfer with no restricted-country list notified as of mid-2026, but RBI's payment-data mandate is stricter and still binds. For BFSI AI infrastructure, the…
Confidential Computing on GPUs: Trusted Execution for Regulated AI
GPU confidential computing encrypts model weights and data in VRAM and produces a hardware-signed attestation. NVIDIA reports near-parity throughput on Blackwell. For Indian regulated workloads that is the difference between…
Fraud Detection at UPI Scale: GPU Sizing for Sub-100 ms Decisions
UPI processed 23.2 billion transactions in a single month of 2026, over 66 crore a day. Scoring that volume with deep models inside a sub-100 ms budget is a throughput…
Agentic AI in Banking: GPU Infrastructure Under FREE-AI
Agentic AI in banking multiplies inference per business action and adds an audit obligation for every step. Under RBI's FREE-AI framework, that combination pushes Indian banks toward owned, in-country GPU…
FREE-AI and Model Risk Rules: Infrastructure Consequences for Banks
RBI FREE-AI (2025) and the draft 2026 Model Risk Management guidance make Indian bank AI examinable: inventoried models, validation environments, challenger serving, full logging and rollback. Plan 1.3-1.6x naive serving…
BFSI Private AI GPU Server Controls and Auditability
The BFSI sector requires robust AI GPU server controls and auditability to ensure compliance with regulations and manage risks effectively. Leveraging advanced GPUs like the NVIDIA H200 can enhance performance…
BFSI AI Risk and GPU Infrastructure Planning
In the BFSI sector, AI risk management is critical for compliance and operational integrity. Leveraging advanced GPU infrastructure, such as NVIDIA's H200 with 141 GB HBM3e memory, enhances data processing…
On-Prem AI for BFSI: Running Fraud & Risk Models In-House (India)
Indian banks and financial firms increasingly run fraud and risk AI on their own GPU infrastructure — because RBI data-localization, the DPDP Act, and PCI-DSS require transaction data to stay…