Bud Ecosystem

At NVIDIA GTC 2026, we’re teaming up with #LTM to unveil Federated LLM Inferencing. - Up to 65% cost savings from day one → 90% in 6 months. - Cloud-grade LLM accuracy, delivered at the edge. 📍Booth 162 | Mar 16–19 | San Jose #BudEcosystem @ltm_ofcl #Nvidia #GTC2026

We've got a new look. 🎉 Same Mission. Sharper Identity. Bigger Ambitions. #BudEcosystem

PM Modi's MANAV vision defines trustworthy AI for India: Moral, Accountable, Nationally Sovereign, Accessible, and Valid. Bud AI Foundry was built for exactly this — from day one. Full breakdown: budecosystem.com/manav-vision/ #MANAV #SovereignAI #IndiaAI

🚀 New in Bud AI Foundry: Pipelines, for automated GenAI operational workflows by chaining platform actions into structured pipelines ✔️ Visual builder ✔️ Multi-step workflows with control logic ✔️ Scheduled or on-demand runs Less manual ops. More reliable GenAI in production.

Bud AI Foundry now integrates with 100+ MCP servers, connecting AI agents to enterprise tools like Atlassian, Stripe, HubSpot, Slack, Notion and more. Agents can now execute end-to-end workflows across your existing systems — with less integration work and faster automation.

At #IndiaAIImpactSummit2026, we presented the Bud Ecosystem to leaders shaping India’s AI future. The message was clear: AI is moving from pilots to responsible, scalable, cost-efficient deployment. We’re excited to enable organisations to adopt and scale GenAI. #BudEcosystem

At the India AI Impact Summit 2026, PM Narendra Modi unveiled #MANAVVision — a human-centric AI framework built on Moral systems, Accountable governance, National sovereignty, Accessible tech & Valid systems. Proud that the Bud ecosystem is already aligned With this vision.

Day 3 at #AIImpactSummit2026 continues the momentum. We saw ~4X higher overall footfall vs Day 1 and 2X more engagement across partner demo zones. Strong interest around scalable AI infrastructure, AMD Instinct™, ROCm, and enterprise AI deployments. Great to see our partners and OEM ecosystem in action. Did you register of our speaker session on 20th Feb? If not, book your spot now:: bit.ly/RegisterNow_AM… @IndiaAiExpo @GoI_MeitY @stpiindia @OfficialINDIAai @BudEcosystem @ProximalCloud @hcltech @HPE @Supermicro @vvdn_tech @NxtGen_Cloud #AIImpactSummit2026 #AMDIndia #AI

Bud Ecosystem - One Stack to Train, Deploy, Evaluate, Secure, Scale & Consume GenAI. #BudEcosystem #GenAI

Meet us at the @Dellbooth at the #IndiaAIImpactSummit today. Really impressed by how Dell is making on-device AI look so seamless and secure. Together with Dell, we’re enabling secure hybrid AI for organisations. Swing by Booth 1.2, Hall 1! #ResponsibleAI

Join us at INDIA AI IMPACT SUMMIT 2026 for an insightful session on how enterprises can successfully deploy Hybrid AI across cloud and on-prem environments — without compromising on governance, performance, or cost efficiency. Talk by Jithin VG, Founder & CEO, Bud Ecosystem

Proud to join @AMD at #IndiaAIImpactSummit2026! 🎉 Discover how to adopt #GenerativeAI at scale with Bud AI Foundry + AMD’s full-stack compute (CPU, GPU, NPU). 📍 Bharat Mandapam, New Delhi 📅 Feb 16–20, 2026 ⛺ Booth 5.10A #IndiaAI #PeoplePlanetProgress

Excited to join @Dell at the India AI Impact Summit 2026! Showcasing Bud + Dell AI Foundry—sovereign GenAI with full control over data, models & infra, delivered cost-effectively at scale. 📍 Booth 1.2, Hall 1 | Feb 16–20 | New Delhi #IndiaAIImpactSummit2026 #IndiaAI @Dell_IN

Big things ahead at INDIA AI IMPACT SUMMIT 2026! We’re thrilled to be participating and can’t wait to unveil our latest innovations and new products. Watch this space, exciting announcements coming soon #IndiaAIImpactSummit2026 #PeoplePlanetProgress #IndiaAI @OfficialINDIAai

[Feature Update] We've made some updates to Model Adapters in Bud AI Foundry, making it easier than ever to spin up domain or task-specific AI models using adapters – effectively running many specialized models with almost the same infrastructure needed for one. • Dynamic adapter loading: Add or remove adapters in real-time while your model is live in production, with zero downtime or service interruption. • Multi-domain inference on shared infrastructure: Run multiple specialized models and agents – legal analysis, financial forecasting, customer support, document processing, and more – simultaneously on a single GPU, drastically reducing infrastructure costs while maintaining performance. • Adapter-level monitoring and analytics: Track performance, usage, and behavior for each adapter independently, making governance, compliance, and audit trails significantly easier to manage. Why it matters: Enterprises can now maximize the value of their existing AI infrastructure without duplicating deployments for every use case. Deploy faster, scale smarter, and reduce costs – all while maintaining the control and visibility your teams need. Watch the demo below to see Model Adapters in action 👇 #GenAI #LLMs #EnterpriseAI

[Feature Update] We’ve updated Guardrails feature in Bud AI Foundry to give teams a more streamlined and flexible way to apply safety, compliance, and reliability controls across GenAI deployments, helping you operate responsibly at scale without adding operational complexity. What you can do with Guardrails in Bud; • Bud Sentinel enables guardrail deployment across air-gapped and cloud environments, supports private, third-party, or hybrid guardrails, and delivers state-of-the-art accuracy with up to 6X improvement in total cost of ownership. • Integrate guardrails directly into existing deployment APIs or deploy them as standalone services. • Monitor and test guardrail behavior and effectiveness through built-in observability and model playground. • Control guardrail probes' enforcement strictness to balance protection and accuracy • Deploy guardrails across projects with clear visibility into supported modalities, scanners, and enforcement stages • Supports proprietary guardrails from multiple providers, including Azure, OpenAI and more Guardrails in Bud AI Foundry help ensure your GenAI deployments stay aligned with business objectives, ethical standards, and regulatory requirements, right from day one. Watch the demo below to see Guardrails in action 👇 #BudEcosystem #GenAI #Guardrails #LLM #EnterpriseAI

[Feature Update] : We've made some updates to the Model and Agent Playgrounds in Bud AI Foundry, making it faster and easier to evaluate, compare, and optimize your model deployments and AI agents. • Evaluate deployed models and agents with greater clarity • Compare multiple model outputs side by side for the same workload • Fine-tune inference settings and instantly see the impact • Easily evaluate agent responses as you build and refine agents • Switch models within agents and evaluate performance changes Playgrounds in Bud AI Foundry are designed to help you iterate faster, make better decisions, and get the most out of your AI initiatives. Here is a quick demo; #BudEcosystem #GenAI #LLM

Here is an overview of our recent open source project, SIMD-Bench, a framework for cross-architecture benchmarking and profiling SIMD kernels. It helps you evaluate and compare SIMD kernels performance across different instruction set architectures (ISAs), CPU platforms and CPU vendors. Unlike existing profilers that focus on single platforms or shallow metrics, SIMD-Bench combines reproducible cross-architecture benchmarking, roofline and top-down microarchitectural analysis, correctness validation, and energy metrics to deliver actionable, low-level insights that translate directly into reliable, portable performance gains. Project's GitHub link is pinned in the comments. #SIMD #SIMT #kernel

[OPEN SOURCE UPDATE] We just open-sourced SIMD-Bench, a framework to benchmark and profile SIMD kernels to evaluate and compare their performance across different instruction set architectures (ISAs), CPU platforms and CPU vendors. In GenAI inference, CPU overhead is a quiet tax: it blocks full GPU utilization, pushes latency up, and increases cost. SIMD kernels are one of the best levers we have for speeding up CPU-side work like tokenization, post-processing, and serialization. Writing portable SIMD is hard, but verifying and profiling it across architectures is even harder. We couldn’t find a truly portable, cross-platform profiler that gave the level of insight we needed. So we built one. That became SIMD-Bench. What SIMD-Bench gives you: • Reproducible cross-architecture benchmarking • Correctness validation • Roofline + top-down microarchitectural analysis • Energy metrics • Actionable, low-level insights you can translate into real, portable performance gains Learn more: budecosystem.com/simd-bench-cro… #OpenSource #SIMD #GenAI