Ready for AI your legal, compliance, and finance teams will actually love? 💙 If you’re ready for RAG that’s fast, grounded, and budget-friendly, talk to a @BUZZHPC expert and see it live. ⬇️ 🔗 https://t.co/hXdtkeffFT Let’s build RAG that never lies. 🐝

We handle it all: 📄 Every format: PDF, Office, CAD, DICOM, Markdown 🔖 Citations in MLA, APA, or hyperlinked JSON-L 🛡️Built-in PII redaction, policy gates, jailbreak detection 📊Full eval suite: consistency, recall, cost-per-answer

4️⃣ Prompt Engineering – auto-guardrails + enforced citation templates 5️⃣ Generation – streamed answers with clickable refs + confidence fallback 6️⃣ Feedback Loop – user votes + telemetry retrain the retriever every week/month Your RAG literally evolves with your business.

Battle-tested 6-step pipeline: 1️⃣ Corpus Audit – catalog & score every knowledge source 2️⃣ Smart Ingestion – recursive chunking + rich metadata 3️⃣ Retrieval Orchestration – rank by meaning, recency, authority

Why enterprises switch to BUZZ HPC RAG: ✅ Hybrid semantic + symbolic search → only citable facts reach the model ✅ Seamless fusion of internal docs, databases, APIs, and streaming sources ✅ Adaptive Context Compressor → up to 70 % lower token spend, zero accuracy loss

No hallucinations. No “sounds right” fiction. Just streaming answers with inline citations pulled directly from your proprietary corpus + public + live data feeds. Turn decades of records into real-time, auditable intelligence. ⬇️

Ever had AI confidently spit out total fiction and leave you cleaning up the mess? What if your LLM could cite real sources, stay 100% grounded, and even slash token costs by up to 70%? That’s @BUZZHPC Retrieval-Augmented Generation. Enterprise RAG that actually works. 🐝🧵

Ready for AI solutions that think? Get purpose-built stacks, not just raw compute. ☑️ Sustainability: Zero emissions. Max compute. ☑️ Scalability: Train big. Scale fast. No bottlenecks. ☑️ Security: Hardened from the core. Trusted by design. 🔗 https://t.co/hXdtkeffFT

🔗 Full ClusterMAX™ 2.0 Report:

We are inspired to continue advancing a cloud platform and infrastructure that empowers teams to achieve more than they imagined possible, delivering excellence across every aspect of performance.

For the teams driving the next generation of AI, benchmarks like this show which platforms can scale innovation without compromise.

These recognitions confirm what our world-class team has built: scalable infrastructure and a cloud platform that is fast, reliable, and purpose-built for the most demanding AI and HPC workloads.

BUZZ High Performance Computing was one of a select handful of clouds to achieve a medallion rating, earning a Bronze tier in the report, an accomplishment that highlights the strength and reliability of our infrastructure.

Recognized. Ready. Built for Breakthroughs. BUZZ High Performance Computing is proud to announce we have placed first globally for network performance in the latest @SemiAnalysis_ ClusterMAX™ 2.0 report, a trusted independent benchmark of GPU cloud platforms. 🧵

NEW EPISODE: @BUZZHPC CEO Explains the Shift from #Bitcoin Mining to Sovereign #AI Cloud The AI infrastructure landscape is changing fastand Bitcoin miners are at the center of it. In this new episode, Craig Tavares, CEO of @BUZZHPC ( @HIVEDigitalTech's AI arm), breaks down

BUZZ HPC is collaborating with @Dell to power a Canadian AI platform that protects data residency and cybersecurity while accelerating real world innovation. Strong, sovereign, and built for the future of Canada. 🇨🇦 https://t.co/ZbfLJF3yMG

Advancing Sovereign AI in Canada 🇨🇦 BUZZ High Performance Computing and Dell Technologies to power sovereign AI in Canada, providing secure, high-performance compute for Canadian innovators and local organizations ⬇️ 🔗 https://t.co/kFfTWrAwTU

Read the full news release:

Furthermore, HIVE’s 70 MW Tier I data center in Grand Falls, New Brunswick enables BUZZ to upgrade the facility for hyperscaler colocation in a Tier III+ data center, which can provide capacity for over 25,000 latest generation GPUs, based on reference architecture.

Combined with over 5,000 GPUs already in operation, this would bring the BUZZ AI Cloud to a total of over 11,000 GPUs by the end of 2026.