Dolphin 2.9 72B
Cognitive Computations · dense · 72B parameters · 32,768 context
Parameters
72B
Context Window
32K tokens
Architecture
Dense
Best GPU
H200 SXM
Intelligence Brief
Dolphin 2.9 72B is a 72B parameter DENSE model from Cognitive Computations, featuring Grouped Query Attention (GQA) with 80 layers and 8,192 hidden dimensions. With a 32,768 token context window, it supports tools, structured output, code, math, multilingual. For self-hosted inference, H200 SXM delivers optimal throughput at $2553/month.
Recent changes
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Architecture Details
Memory Requirements
BF16 Weights
144.0 GB
FP8 Weights
72.0 GB
INT4 Weights
36.0 GB
GPU Compatibility Matrix
Dolphin 2.9 72B is compatible with 37% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
557.7 tok/s
Latency (ITL)
1.8ms
Est. TTFT
0ms
Cost/Month
$2553
Cost/M Tokens
$1.74
FP8 · 1 GPU · tensorrt-llm
98/100
score
Throughput
560.0 tok/s
Latency (ITL)
1.8ms
Est. TTFT
0ms
Cost/Month
$4261
Cost/M Tokens
$2.90
FP8 · 1 GPU · tensorrt-llm
98/100
score
Throughput
560.0 tok/s
Latency (ITL)
1.8ms
Est. TTFT
0ms
Cost/Month
$4271
Cost/M Tokens
$2.90
Deployment Options
API Deployment
No API pricing available
Single GPU
H200 SXM
$2553/mo
Min VRAM: 72 GB
Multi-GPU
H100 SXM x2
560.0 tok/s
TP· $3587/mo
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (H200 SXM, FP8)
Precision Impact
bf16
144.0 GB
weights/GPU
fp8
72.0 GB
weights/GPU
~557.7 tok/s
int4
36.0 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Dolphin 2.9 72B
Self-Hosted Infrastructure
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Frequently Asked Questions
How much VRAM does Dolphin 2.9 72B need for inference?
Dolphin 2.9 72B requires approximately 144.0 GB of VRAM at BF16 precision, 72.0 GB at FP8, or 36.0 GB at INT4 quantization. Additional VRAM is needed for KV-cache (327680 bytes per token) and activations (~2.50 GB).
What is the best GPU for Dolphin 2.9 72B?
The top recommended GPU for Dolphin 2.9 72B is the H200 SXM using FP8 precision. It achieves approximately 557.7 tokens/sec at an estimated cost of $2553/month ($1.74/M tokens). Score: 100/100.
How much does Dolphin 2.9 72B inference cost?
Dolphin 2.9 72B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.