Updated minutes ago
Nemotron 15B
NVIDIA · dense · 15B parameters · 4,096 context
Quality72.0
Architecture Details
TypeDENSE
Total Parameters15B
Active Parameters15B
Layers32
Hidden Dimension6,144
Attention Heads48
KV Heads8
Head Dimension128
Vocab Size256,000
Memory Requirements
BF16 Weights
30.0 GB
FP8 Weights
15.0 GB
INT4 Weights
7.5 GB
KV-Cache per Token131072 bytes
Activation Estimate1.50 GB
Fits on (single-node)
B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM BF16H100 PCIe BF16H100 NVL BF16
GPU Recommendations
H100 SXMoptimal
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
1.1K tok/s
Cost/Month
$1794
Cost/M Tokens
$0.65
H100 PCIeoptimal
FP8 · 1 GPU · tensorrt-llm
95/100
score
Throughput
1.1K tok/s
Cost/Month
$1794
Cost/M Tokens
$0.65
RTX A6000optimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
138.2 tok/s
Cost/Month
$465
Cost/M Tokens
$1.28
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| nvidia | $0.30 | $0.30 | Cheapest |
Quality Benchmarks
MMLU71.0
HumanEval40.0
GSM8K75.0
MT-Bench76.0
Capabilities
Features
✓ Tool Use✗ Vision✓ Code✓ Math✗ Reasoning✓ Multilingual✓ Structured Output
Supported Frameworks
vllmsglangtensorrt-llm
Supported Precisions
BF16 (default)FP8INT4