VRAM
48 GB
TDP
300 W
MSRP
$6.8k
Perf/W
0.10 tok/s/W
Cost/1K tok
$0.0024/k
Tested
2024-12-14
NVIDIA RTX 6000 Ada 48GB has a source-attributed result of 30.0 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.
NVIDIA RTX 6000 Ada 48GB — professional visualization and AI GPU. 48GB GDDR6 ECC at 960 GB/s, 300W TDP. Ada Lovelace architecture with full FP8 support. Active cooling, fits in standard workstations.
48GB can hold many 70B Q4 artifacts, with context determined by cache and runtime overhead. 32B FP16 weights need about 64GB and 70B Q8 about 70GB; neither fits fully. Confirm the exact workstation SKU and cooling requirements.
NVIDIA RTX 6000 Ada 48GB with 48GB VRAM at 300W TDP, scored across 8 workloads with 8 benchmark records.
Reference workload
Asure 12B
95 tok/s
Quantization
Q4_K_M
8K context · batch 1
| Workload | Score | Quant | Context | σ | Status | Tested |
|---|---|---|---|---|---|---|
| Llama 3 70B Q4 llm | 30.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2024-12-14 |
| Llama 3 8B FP16 llm | 88.0tok/s | FP16 | 4K | , | Curated Aggregate | 2024-11-22 |
| SDXL image gen image | 22.0img/min | FP16 | , | , | Curated Aggregate | 2025-01-08 |
| Mistral 7B llm | 125.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2024-05-29 |
| Gemma 2 9B llm | 104.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2024-08-11 |
| Qwen 2.5 14B llm | 76.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2024-10-22 |
| Embedding throughput embedding | 8200.0emb/s | FP16 | 1K | , | Curated Aggregate | 2024-09-14 |
| Asure 12B llm | 95.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2025-05-01 |
There is insufficient comparable evidence to score NVIDIA RTX 6000 Ada 48GB. A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.
Planning estimates for 48GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.
Trust score
6/10
MyAI rating
Not scored
Runs
Not documented
Freshness
Stale
Source-linked row with explicit verification status.
Record date: 2025-05-01; 496 days old.
Best place to start
Retailer we'd check first
Amazon search
Amazon is usually the quickest place to sanity-check live pricing on workstation-class gear before you compare specialty retailers.
Search Amazon listingsThere 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.