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INFERENCE Ecosystem

SambaNova Systems (RDU Inference)

Reconfigurable Dataflow Silicon

Overview & Capability

Custom silicon AI chip provider delivering world-record throughput and sub-100ms time-to-first-token on Llama 3 70B and 405B models via SN40L RDUs.

Key Highlights

  • Over 400+ tokens/second on Llama 3.3 70B
  • Full precision 16-bit inference without quantization degradation
  • OpenAI-compatible developer API
Robbie's Independent Take Verified: 2026-10-11

Excellent candidate for local execution with zero cloud lock-in. For 7B-8B parameter models, budget at least 8 GB of unified memory or VRAM (Q4_K_M quantization). For 32B-70B models, aim for 24 GB+ to maintain interactive throughput without CPU offload penalties.

Alternatives & Replaces

  • Standard cloud GPU inference