NVIDIA H200 141GB经济之选141 GB VRAM (+13)4800 GB/s (+4527)
B
Raises estimated decode speed by about 851%.196 tok/s 解码
Raises estimated decode speed by about 851%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
Can Phi 3 Medium 14B run on NVIDIA DGX Spark 128GB?
YES — With F16
C54Usable
Estimated from fit model
Phi 3 Medium 14B needs ~46.0 GB VRAM. NVIDIA DGX Spark 128GB has 0 MB. With F16 quantization, expect ~9 tok/s.
Runtime: OllamaCapacity: RoomyBandwidth: LowStack: BasicBottleneck: Balanced
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Phi 3 Medium 14B at Q4_K_M needs 12.8 GB — too much for NVIDIA DGX Spark 128GB (0.0 GB). Runs at F16 (46.0 GB) with maximum quality. 8 quantization levels fit.
Select quantization to explore
Q4_K_M (Medium quality) — 25.8 GB, 20.6 tok/s, Runs well
25.8 GB required108.8 GB available
24% VRAM used
Fit status
Runs well
Decode
20.6 tok/s
TTFT
9389 ms
Safe context
128K
Memory
25.8 GB / 108.8 GB
Memory breakdown
Weights8.5 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom13.1 GB
See how fast it feels
See how fast it feelsPhi 3 Medium 14B on NVIDIA DGX Spark 128GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 20.6 tok/s decode · 9.4s TTFT (warm) · 52 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 3.5 tok/s | 30587 ms | 4K |
| Coding | F | Too heavy | 3.5 tok/s | 56076 ms | 4K |
| Agentic Coding | F | Too heavy | 3.5 tok/s | 81565 ms | 4K |
| Reasoning | F | Too heavy | 3.5 tok/s | 66272 ms | 4K |
| RAG | F | Too heavy | 3.5 tok/s | 101956 ms | 4K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on NVIDIA DGX Spark 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C50 |
Q3_K_S | 3 | 6.9 GB | Low | C50 |
NVFP4 | 4 | 7.8 GB | Medium | C50 |
Q4_K_M | 4 | 8.5 GB | Medium | C50 |
Q5_K_M | 5 | 10.1 GB | High | C51 |
Q6_K | 6 | 11.5 GB | High | C51 |
Q8_0 | 8 | 15.0 GB | Very High | C51 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C53 |
Get started
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:medium升级选项
能流畅运行 Phi 3 Medium 14B 的硬件
NVIDIA H200 141GB经济之选NVIDIA H200 PCIe 141GB最佳性价比141 GB VRAM (+13)4800 GB/s (+4527)
B
Raises estimated decode speed by about 851%.196 tok/s 解码
Raises estimated decode speed by about 851%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
NVIDIA B200 180GBNVIDIA 升级180 GB VRAM (+52)8000 GB/s (+7727)
B
Raises estimated decode speed by about 851%.196 tok/s 解码
Raises estimated decode speed by about 851%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
Frequently asked questions
Can NVIDIA DGX Spark 128GB run Phi 3 Medium 14B?
Yes, NVIDIA DGX Spark 128GB can run Phi 3 Medium 14B at F16 quantization (Runs well). The recommended Q4_K_M requires 12.8 GB which exceeds available memory, but at F16 it needs only 46.0 GB. Expected decode speed: 8.6 tok/s.
How much VRAM does Phi 3 Medium 14B need?
Phi 3 Medium 14B (14B parameters) requires approximately 12.8 GB at Q4_K_M quantization. On NVIDIA DGX Spark 128GB, it fits at F16 using 46.0 GB.
What is the best quantization for Phi 3 Medium 14B?
The recommended quantization is Q4_K_M, but on NVIDIA DGX Spark 128GB the best fitting quantization is F16, which uses 46.0 GB.
What speed will Phi 3 Medium 14B run at on NVIDIA DGX Spark 128GB?
On NVIDIA DGX Spark 128GB, Phi 3 Medium 14B achieves approximately 8.6 tokens per second decode speed with a time-to-first-token of 22539ms using F16 quantization.
Can NVIDIA DGX Spark 128GB run Phi 3 Medium 14B for coding?
For coding workloads, Phi 3 Medium 14B on NVIDIA DGX Spark 128GB receives a F grade with 3.5 tok/s and 4K context.
What context window can Phi 3 Medium 14B use on NVIDIA DGX Spark 128GB?
On NVIDIA DGX Spark 128GB, Phi 3 Medium 14B can safely use up to 128K tokens of context at F16 quantization. The model's official context limit is 128K, but available memory constrains the safe maximum.
Is unified memory on NVIDIA DGX Spark 128GB as fast as VRAM for Phi 3 Medium 14B?
Not always. NVIDIA DGX Spark 128GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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