quiz bu lëkkale ak tegtal · Diggante Niveau
Laajte ci sistemu SambaNova
Dafay muur done yuñ mëna tabb, hierarchie mémoire SN40L, model bundling, ak wareefu tànneefi jëfandikoo gi gëna jub ci kiliyaan bi.
Laaj 1 de 8
Ban architecture la SambaNova di jëfandikoo ngir defar ay puce?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Ban architecture la SambaNova di jëfandikoo ngir defar ay puce?
- ab jëmmal done buñ mëna tabb
- Processeur buñ miin
- Ordinatër bu mekanik rek
- Processeur bu amul lenn ludul
- 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
- 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
- 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
- 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
- Which person does SambaNova identify as a co-founder and chief technologist?
- Jeofrey Hinton
- Kunle Olukotun
- Fei-Fei Li
- Demis xasabis
- 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
- 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