SambaNova সিস্টেম কুইজ

আপনি কুইজ নেওয়ার সাথে সাথে উত্তর এবং ব্যাখ্যাগুলি উপস্থিত হয়।

1. SambaNova এর চিপগুলির জন্য কোন মূল আর্কিটেকচার ব্যবহার করে?
   • একটি পুনরায় কনফিগারযোগ্য ডেটাফ্লো ডিজাইন
   • একটি স্ট্যান্ডার্ড স্মার্টফোন প্রসেসর
   • একটি সম্পূর্ণ যান্ত্রিক কম্পিউটার
   • একটি কোয়ান্টাম-শুধুমাত্র প্রসেসর
2. How does SambaNova describe data movement in its RDU dataflow architecture?
   • Each operation must be manually converted into a database query
   • Model operations are mapped into a graph, and data flows from one operation to the next as a pipeline
   • The design removes every memory access
   • A CPU analogy proves all workloads run faster
3. What does SambaNova’s SambaStack product combine?
   • Only a consumer chatbot subscription
   • A food traceability database and camera
   • Hardware and software as an integrated platform for AI inference
   • A general-purpose laptop operating system
4. How does the documented SN50 memory hierarchy place model data?
   • All model weights remain on on-chip SRAM, so every model stays resident
   • DDR replaces HBM for all active weights and hot KV cache
   • Tiering eliminates all data movement and guarantees faster inference for every workload
   • The documented SN50 setup uses HBM for active weights and hot KV cache, and DDR for larger model pools or colder KV cache, subject to configuration
5. What can an on-premises SambaStack deployment offer an organization?
   • An option to operate the platform in its own environment, subject to its deployment and contract terms
   • A guarantee that no data can ever leave the environment
   • Automatic compliance with every privacy law
   • A promise that models cannot produce unsafe output
6. Which person does SambaNova identify as a co-founder and chief technologist?
   • জিওফ্রে হিন্টন
   • Kunle Olukotun
   • ফেই-ফেই লি
   • ডেমিস হাসাবিস
7. Which memory tiers does SambaNova list for its SN40L platform?
   • Only CPU cache and hard disk
   • GDDR and flash storage with no on-chip memory
   • On-chip SRAM, HBM, and DDR
   • A single tier of persistent memory
8. What platform capability does SambaNova describe for multi-model workflows?
   • It guarantees every model fits on one chip
   • It removes the need to evaluate model compatibility
   • It turns every model into a training dataset
   • Model bundling can support multiple models in an inference or agent workflow