Datacenter GPUNVIDIA

NVIDIA B200 192GB

Curated Aggregate·2024-12-2612 workloads · 14 records
MyAI RatingNot scoredInsufficient comparison evidence

VRAM

192 GB

TDP

1000 W

MSRP

$40k

Perf/W

0.14 x RT/W

Cost/1K tok

$0.0031/k

Tested

2024-12-26

Quick answer

How many tokens per second does NVIDIA B200 192GB produce on Llama 3 70B Q4?

NVIDIA B200 192GB has a source-attributed result of 138.0 tok/s on Llama 3 70B Q4 (batch 1, 8192-token context, Q4_K_M; runtime not documented). This is a reference report, not an independently verified lab result. A 70B Q4_K_M artifact needs roughly 40GB for weights alone; smaller memory configurations require explicit offload or model splitting and do not establish full-GPU residency.

Source: MyAIHardware benchmark database (bench-b200-l3-70b-q4)As of 2024-12-26

Overview

Frontier Datacenter

NVIDIA B200 192GB — Blackwell-architecture datacenter GPU. 192GB HBM3e at 8 TB/s, 1000W TDP. Second-gen Transformer Engine with FP4 support. 2.5x the AI compute of H100. NVIDIA's 2025 flagship datacenter GPU.

AI Usefulness

192GB supports many 70B FP16 configurations after accounting for runtime and cache. 405B FP8 weights require about 405GB; standard 405B Q4 also exceeds 192GB before overhead. Use a documented multi-device configuration for those targets.

Verdict

NVIDIA B200 192GB with 192GB VRAM at 1000W TDP, scored across 12 workloads with 14 benchmark records.

Reference workload

Whisper transcription

210 x RT

Quantization

FP16

· batch 1

LLM Inference Performance

0150300450600Llama 370B Q4Llama 370B Q8Llama 3 8BFP16Qwen 2.514BDeepSeek-R17BMistral 7B

Benchmarks (12 workloads)

WorkloadScoreQuantContextσStatusTested
Llama 3 70B Q4

llm

138.0tok/sQ4_K_M8K, Curated Aggregate2024-12-26
Llama 3 70B Q8

llm

98.0tok/sQ8_08K, Curated Aggregate2024-12-30
Llama 3 8B FP16

llm

520.0tok/sFP168K, Curated Aggregate2026-02-04
SDXL image gen

image

52.0img/minFP16, , Curated Aggregate2025-04-15
Qwen 2.5 14B

llm

285.0tok/sQ4_K_M8K, Curated Aggregate2026-01-15
DeepSeek-R1 7B

llm

480.0tok/sQ4_K_M8K, Curated Aggregate2026-02-04
Whisper transcription

audio

210.0x RTFP16, , Curated Aggregate2026-02-22
Mistral 7B

llm

415.0tok/sQ4_K_M4K, Curated Aggregate2025-01-08
Gemma 2 9B

llm

332.0tok/sQ4_K_M8K, Curated Aggregate2025-02-12
Llama 3 8B Q4

llm

360.0tok/sQ4_K_M128K, Curated Aggregate2025-03-20
Embedding throughput

embedding

23500.0emb/sFP161K, Curated Aggregate2025-01-18
Asure 12B

llm

350.0tok/sQ4_K_M8K, Curated Aggregate2025-05-01

MyAI Score: not scored

There is insufficient comparable evidence to score NVIDIA B200 192GB. A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.

Workload Fit

Planning estimates for 192GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.

Q4
Q8
FP16
7-8B
Excellent
Excellent
Excellent
13-14B
Excellent
Excellent
Excellent
32B
Excellent
Excellent
Excellent
70B
Excellent
Excellent
Good
Reported batch-one examples
Whisper transcription210 x RT
Llama 3 8B FP16520 tok/s
DeepSeek-R1 7B480 tok/s

Source

Vendor benchmark.

View sourceHow we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

Not scored

Runs

Not documented

Freshness

Stale

Source-linked row with explicit verification status.

Record date: 2026-02-22; 199 days old.

Open primary source

Enterprise buying note

Where to buy

Reseller compare

Retailer we'd check first

Amazon search plus reseller quotes

For datacenter and accelerator parts, Amazon is useful for spotting live listings, accessories, or used pulls, but serious procurement usually happens through integrators, brokers, or cloud partners.

Enterprise procurement, not retail

This silicon is typically acquired through an authorized OEM partner, system integrator, or hyperscaler reseller. For on-demand access, compare hourly rates at RunPod, Vast.ai, Lambda Labs, or your existing cloud provider before committing to capital expenditure.

  • +Use $40k only as a rough anchor. Enterprise street pricing moves with supply, warranty, and included accessories.
  • +Confirm cooling, power delivery, and return terms before you purchase. These parts often ship without consumer-friendly safeguards.
  • +If this is for production, compare against authorized reseller quotes before you commit.

There is insufficient comparable evidence for a purchase recommendation. Check model fit, software support and a current seller quote.

Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.