India’s DPDP Act is not a localisation mandate. Seven sectoral rules are — RBI, IRDAI, SEBI, CERT-In, DoT, MeitY and DPDP’s own reserve power. What each demands.
AI Data Residency in India: The 7 Rules That Actually Apply Read More »
Indian GPU cloud rates undercut AWS Mumbai on-demand three to one. Utilization, not price, decides whether GPU as a Service works — and nobody sells a fractional GPU.
GPU as a Service in India: The 50% Utilization Trap Read More »
India’s AI data center build-out is real: 1.5 GW heading past 6 GW, $90bn committed. The gap is the layer that turns megawatts into a billable, multi-tenant service.
India AI Data Centers: What It Takes to Turn 6.5 GW Into Revenue Read More »
AI datacenter power is the scarcest input in AI infrastructure in 2026 — not GPUs, not capital. Here is what the 2,600 GW interconnection backlog, hyperscaler nuclear deals, and state-level moratoriums mean for service providers, sovereign cloud builders, and enterprise infra teams.
The AI Datacenter Power Crisis: Inside the 2,600 GW Queue Read More »
Should enterprises build a private AI Factory or keep running AI in the public cloud? In 2026, that is one of the highest-intent infrastructure questions in the market. The honest answer is not ideological. Public cloud still wins for speed and burst capacity. Private AI factories increasingly win for sustained inference, sovereignty, latency-sensitive workloads, and
5 Cost Realities – Private AI Factory vs Public Cloud: A TCO Comparison for Enterprise Read More »
Sovereign cloud architecture for AI is no longer just about keeping data inside a geography. In 2026, the real differentiator is whether organizations can run AI with local control, disconnected or air-gapped operations, auditable orchestration, and tenant-aware metering, billing, and showback. That is what turns sovereign AI from a policy statement into a working platform.
5 Critical Gaps in Sovereign AI Architecture Beyond Data Residency Read More »
Claude Mythos Preview reportedly scores 93.9% on SWE-bench Verified and 97.6% on the 2026 USAMO AI Benchmark — a jump so large that it changes how we should think about frontier AI. But the bigger story is not just the numbers. It is that benchmark suites are nearing saturation while Anthropic and Google are already
93.9% on SWE-bench, 97.6% on USAMO: Claude Mythos Is Breaking Every AI Benchmark Read More »
Claude Mythos Preview achieved 84% exploit success on Firefox zero-days — a 5.5x leap over the previous best. Deep dive into the cybersecurity capabilities that made Anthropic lock this model away from public access.
Anthropic published a 244-page system card for their most capable AI model ever — then refused to release it. Claude Mythos Preview scores 93.9% on SWE-bench, 97.6% on USAMO, and 84% on Firefox zero-day exploitation. Here is everything we know.
Claude Mythos: The Most Powerful AI Model That Anthropic Won’t Let You Use Read More »
Global AI spending will hit $2.52 trillion in 2026. Most enterprises have no reliable way to track, allocate, or control their share. Here is the playbook for building AI billing that works — from token metering to GPU chargeback to enterprise budget controls.
